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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article"><front><journal-meta><journal-id journal-id-type="issn">2541-2590</journal-id><journal-title-group><journal-title>JRAMathEdu (Journal of Research and Advances in Mathematics Education)</journal-title><abbrev-journal-title>J.Res.Adv.Math.Educ</abbrev-journal-title></journal-title-group><issn pub-type="epub">2541-2590</issn><issn pub-type="ppub">2503-3697</issn><publisher><publisher-name>Lembaga Pengembangan Publikasi Ilmiah dan Buku Ajar, Universitas Muhammadiyah Surakarta</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23917/jramathedu.v10i1.6374</article-id><article-categories/><title-group><article-title>Modeling the antecedents of integration of ethnomathematical perspectives into geometry teaching among faculty: A logistic regression analysis</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2681-0517</contrib-id><name><surname>Kyeremeh</surname><given-names>Patrick</given-names></name><address><country>Ghana</country><email>pkyeremeh39@gmail.com</email></address><xref ref-type="aff" rid="AFF-1"/><xref ref-type="corresp" rid="cor-0"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0920-1680</contrib-id><name><surname>Awuah</surname><given-names>Francis Kwadwo</given-names></name><address><country>Ghana</country></address><xref ref-type="aff" rid="AFF-2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8567-034X</contrib-id><name><surname>Orey</surname><given-names>Daniel Clark</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-3"/></contrib><aff id="AFF-1">St. Joseph College of Education</aff><aff id="AFF-2">Kwame Nkrumah University of Science &amp; Technology</aff><aff id="AFF-3">Universidade Federal de Ouro Preto, MG</aff></contrib-group><author-notes><corresp id="cor-0"><bold>Corresponding author: Patrick Kyeremeh</bold>, St. Joseph College of Education .Email:<email>pkyeremeh39@gmail.com</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2025-1-30" publication-format="electronic"><day>30</day><month>1</month><year>2025</year></pub-date><pub-date date-type="collection" iso-8601-date="2025-1-1" publication-format="electronic"><day>1</day><month>1</month><year>2025</year></pub-date><volume>10</volume><issue>1</issue><fpage>15</fpage><lpage>27</lpage><history><date date-type="received" iso-8601-date="2024-8-19"><day>19</day><month>8</month><year>2024</year></date><date date-type="rev-recd" iso-8601-date="2024-11-21"><day>21</day><month>11</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-11-21"><day>21</day><month>11</month><year>2024</year></date></history><permissions><copyright-statement>Copyright (c) 2025 Patrick Kyeremeh, Francis Kwadwo Awuah, Daniel Clark Orey</copyright-statement><copyright-year>2025</copyright-year><copyright-holder>Patrick Kyeremeh, Francis Kwadwo Awuah, Daniel Clark Orey</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</license-p></license></permissions><self-uri xlink:href="https://journals2.ums.ac.id/index.php/jramathedu/article/view/6374" xlink:title="Modeling the antecedents of integration of ethnomathematical perspectives into geometry teaching among faculty: A logistic regression analysis">Modeling the antecedents of integration of ethnomathematical perspectives into geometry teaching among faculty: A logistic regression analysis</self-uri><abstract><p>The necessity for establishing links between school mathematics and students' personal lives and cultures, as enshrined in the ethnomathematics program, is being recognized and investigated in different regions across the globe. However, a comprehensive understanding of the antecedents that drive the integration of ethnomathematical perspectives into mathematics teaching among mathematics teachers is still limited. This cross-sectional survey aimed to address this gap by investigating whether the explanatory variables (such as gender, teaching experience, and religion) predict the mathematics teacher educators’ incorporation of the mathematics found outside of school into geometry teaching. We included a sample of 128 mathematics teacher educators in the survey through non-probability sampling. A logistic regression model was employed to analyze the data garnered using a web-based questionnaire. Based on the findings, all three explanatory variables (gender, teaching experience, and religion) did not predict mathematics teacher educators’ incorporation of mathematics found outside of school into geometry teaching. The findings would help key actors of mathematics education to re-examine their beliefs and practices about the incorporation of ethnomathematical perspectives into teaching that builds on students’ socio-cultural experiences. Implications for teaching and future research are reported.</p></abstract><kwd-group><kwd>Ethnomathematics</kwd><kwd>Geometry teaching</kwd><kwd>Logistic regression model</kwd><kwd>Teacher educator</kwd><kwd>Higher education</kwd></kwd-group><funding-group><funding-statement>This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.</funding-statement></funding-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2025</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>In modern times, the need to forge a connection between school mathematics and students' personal lives and cultures, as articulated in the ethnomathematics program, is being acknowledged and investigated in different regions worldwide. This could partly be “due to the opportunities that ethnomathematics offers for students to learn mathematics in a more meaningful and engaging way by connecting academic mathematics to their experiences, culture, and environment” <xref ref-type="bibr" rid="BIBR-18">(Kyeremeh et al., 2023)</xref>. Ethnomathematics is a dynamic and holistic field that transcends traditional and cultural boundaries <xref ref-type="bibr" rid="BIBR-9">(D’Ambrosio, 2016)</xref>. As a result, it progresses in a manner that is more closely aligned with reality and the individuals who are deeply engaged with it. Hence, its advancement will significantly enhance the field of academic mathematics in education.</p><p>The inclusion of ethnomathematics at all levels of mathematics education yields enduring advantages for students' mathematical performance, as it heightens the awareness that academic mathematics is value-and-culture laden and, as such, should be learned and taught in a way that shows connections. According to <xref ref-type="bibr" rid="BIBR-29">(Orey &amp; Rosa, 2007)</xref>, students see the connection of mathematics procedures and practices to their lived experiences when teachers’ instructions encourage them to analyze mathematical activity within their social frameworks. By incorporating lived experiences and culture into mathematics education, students gain a deeper understanding of themselves, their culture, society, and reality. There exists inherent beauty in the understanding that arises when the cultural aspects of mathematics inside students' cultures are openly examined <xref ref-type="bibr" rid="BIBR-22">(Kyeremeh &amp; Kwame, 2023)</xref>.</p><p>Leveraging on the potentials of ethnomathematics, the new common Bachelor of Education [B.Ed.] mathematics program for Ghanaian colleges of education demands that teacher educators employ culturally relevant pedagogies (ethnomathematical perspectives) in teaching by considering and demonstrating respect for the sociocultural backgrounds of student teachers while designing and implementing their instructional strategies <xref ref-type="bibr" rid="BIBR-26">(Education, 2018)</xref>, <xref ref-type="bibr" rid="BIBR-25">(Education, 2017)</xref>. This curriculum offers mathematics teacher educators the flexibility to adapt to local needs and contexts to help connect geometrical concepts to student teachers’ culture, environment, and experiences, among other things, to make the course relevant/realistic to student teachers.</p><p>Ethnomathematics as a program delves into the interplay between mathematics and culture. In the pursuit of addressing human needs in a culturally sensitive and responsive manner, <xref ref-type="bibr" rid="BIBR-9">(D’Ambrosio, 2016)</xref> argues that individuals from different cultural backgrounds have consistently developed methods, processes, tactics, styles, arts, and techniques (techné/tics) for both practical and cognitive purposes. This is connected to the process of understanding and adapting to the natural, social, and cultural contexts (ethno). Ethnomathematics, therefore, pertains to examining the tics, which encompass the arts and techniques employed in mathematics, within diverse ethnos, encompassing both natural and societal contexts <xref ref-type="bibr" rid="BIBR-37">(Rosa &amp; Orey, 2021)</xref>.</p><p>It is agreed among the scientific community that a crucial element of mathematics instruction ought to reaffirm the individuality of students through social and cultural capital <xref ref-type="bibr" rid="BIBR-11">(Furuto, 2014)</xref>; <xref ref-type="bibr" rid="BIBR-38">(Rosa &amp; Orey, 2023)</xref>, which aligns with the principles of the ethnomathematics program. However, there is evidence of a notable absence of cultural relevance in the mathematics content and instruction <xref ref-type="bibr" rid="BIBR-8">(D’Ambrosio, 2001)</xref>; <xref ref-type="bibr" rid="BIBR-25">(Education, 2017)</xref>. However, a comprehensive understanding of the antecedents that drive the integration of ethnomathematical perspectives into mathematics teaching among mathematics teachers is still limited. This survey aimed to address this gap by investigating whether the explanatory variables (such as gender, teaching experience, and religion) predict the mathematics teacher educators’ incorporation of the mathematics found outside of school into geometry teaching. Given this, we sought to answer the research question: Do explanatory variables (such as gender, teaching experience, and religion) predict mathematics teacher educators’ incorporation of the mathematics found outside of school into geometry teaching?</p><sec><title>Demographic factors that predict teachers’ incorporation of ethnomathematical perspectives into teaching</title><p>Effective mathematics instruction establishes a strong connection between mathematics and students' real-life experiences and cultural background. Ethnomathematical techniques aim to enhance the relevance of classroom mathematics for learners by leveraging the surrounding environment to reinforce comprehension of mathematical concepts <xref ref-type="bibr" rid="BIBR-12">(Gerdes, 2014)</xref>; <xref ref-type="bibr" rid="BIBR-20">(Kyeremeh et al., 2024-07-27)</xref>. Exploring the socio-cultural milieu in which mathematics learning occurs is crucial for facilitating effective learning. This exploration is necessary to benefit students and teachers in learning.</p><p>Teachers' instructional decisions, including the selection of effective teaching perspectives in mathematics teaching, are influenced by demographic factors such as teaching experience, gender, religion, and so on. This supports <xref ref-type="bibr" rid="BIBR-23">(Mabotja, 2022)</xref> assertion that demographic variables, including ethnicity and experiences, could influence teacher educators' integration of ethnomathematics. Hence, it is posited that these variables would exert a substantial impact on the comprehension of mathematics teacher educators about the incorporation of ethnomathematical perspectives into geometry teaching within the educational setting. The topics of gender, culture, and ethnomathematics were examined by <xref ref-type="bibr" rid="BIBR-14">(Gilsdorf, 2015)</xref>. He observed the enduring pattern in Western culture of marginalizing women and their pursuits in the field of mathematics. He also noted that the marginalization of women in the field of mathematics within Western society has persisted for a considerable duration, spanning several centuries.</p><p>Women have historically faced both formal and informal exclusion from Western mathematics. For instance, until the early 21st Century, women were prohibited from attending Western universities. Additionally, there have been documented instances where women were specifically excluded from formal mathematical activities solely based on their gender <xref ref-type="bibr" rid="BIBR-14">(Gilsdorf, 2015)</xref>. Gilsdorf lamented the persistence of those in contemporary society who maintain the belief that women and mathematics are incompatible. This phenomenon is prevalent throughout various domains of mathematical development, encompassing the topic of ethnomathematics as well. Consequently, gender possesses the inclination to impact how teacher educators integrate extracurricular mathematical concepts into their geometry instruction within the classroom setting.</p><p>In a mixed methods study conducted by <xref ref-type="bibr" rid="BIBR-33">(Pradhan, 2023)</xref>, they examined the knowledge of ethnomathematics and the perception of Nepalese in-service teachers regarding the incorporation of ethnomathematics approaches in their teaching. The study also considered demographic characteristics such as gender, academic status, and teaching experience. The results of the study indicated that there was no statistically significant correlation between the gender of teachers and their comprehension of ethnomathematics. This finding indicates that there is a comparable level of comprehension among male and female mathematics educators regarding the ethnomathematics approach. Also, the study revealed a noteworthy correlation between the teaching experience of educators and their comprehension of ethnomathematics methodologies. Teachers' assessment of the usage of the ethnomathematics approach is influenced by their years of teaching experience.</p><p>In their study, <xref ref-type="bibr" rid="BIBR-3">(Aikpitanyi &amp; Eraikhuemen, 2017)</xref> surveyed to examine the utilization of an ethnomathematics method by mathematics teachers in Nigeria. Although a considerable proportion of mathematics teachers indicated their utilization of the ethnomathematics approaches in their instructional practices, Aikpitanyi and Eraikhuemen observed no statistically significant disparity between male and female mathematics teachers in their adoption of ethnomathematics techniques. <xref ref-type="bibr" rid="BIBR-17">(Khalil, 2023)</xref> mixed-method study sought to present a comprehensive overview of educators' perceptions of ethnic mathematics, a pedagogical approach to school mathematics. It encompassed four primary dimensions: understanding of ethnic mathematics, the present degree of its incorporation in education, attitudes towards it as a pedagogical method, and barriers that hinder its integration. The findings showed that there are no statistically significant disparities in ethnomathematics integration related to gender or teaching experience. <xref ref-type="bibr" rid="BIBR-17">(Khalil, 2023)</xref> ascribed these findings to the uniformity of professional development programs received by all teachers.</p><p><xref ref-type="bibr" rid="BIBR-41">(Thakur, 2019)</xref> conducted a cross-sectional study to investigate the notable variations in teachers' perspectives on the incorporation of ethnomathematics in secondary education across several categories of independent variables, including gender, religion, and teaching experience. The results indicated that there was no statistically significant variation found between the demographic variables and teachers’ perspectives on the incorporation of ethnomathematics. Nevertheless, the dearth or absence of study in this domain concerning the incorporation of ethnomathematics suggests that further investigation should be undertaken, focusing on the religious inclination of educators. In South Africa, <xref ref-type="bibr" rid="BIBR-28">(Mutodi &amp; Ngirande, 2014)</xref> conducted a study to examine the perspectives of mathematics teachers about the utilization of tangible materials in the process of constructing mathematical significance. The results validated statistically significant disparities in the perception of concrete materials between male and female teachers. Nevertheless, the teacher's expertise did not exert a substantial influence on their perspectives regarding the utilization of tangible resources.</p><p>Existing literature suggests a scarcity of studies <xref ref-type="bibr" rid="BIBR-3">(Aikpitanyi &amp; Eraikhuemen, 2017)</xref>; <xref ref-type="bibr" rid="BIBR-33">(Pradhan, 2023)</xref>; <xref ref-type="bibr" rid="BIBR-41">(Thakur, 2019)</xref>ek that examine the impact of demographic factors on mathematics teachers' integration of ethnomathematical perspectives (mathematical forms found outside of school) into school geometry in the classroom. Furthermore, these limited studies have specifically concentrated on examining mathematics teachers in secondary schools. This study aimed to address the existing knowledge gap by presenting empirical evidence from the standpoint of mathematics teacher</p><fig id="figure-1" ignoredToc=""><label>Figure 1</label><caption><p>Conceptual Framework</p></caption><graphic xlink:href="https://journals2.ums.ac.id/jramathedu/article/download/6374/3433/42432" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><p>educators regarding the demographic factors that predict the incorporation of ethnomathematical perspectives into school geometry instruction.</p></sec><sec><title>Conceptual framework</title><p>From an ethnomathematical standpoint, it is assumed that classroom instructions are inherently intertwined with the communities in which they are situated. Students enter school with pre-existing beliefs, conventions, and notions that they have acquired during their formative years. The implication is that students start from their own geometrical experiences and contexts they have from their own diverse cultures or environments; therefore, teachers are required to help students build upon these experiences and come to appreciate the need for more formal or classical applications in school geometry connected to real-life situations.</p><p>The framework for the geometry classroom framed by ethnomathematical perspectives that link geometrical activities in the students' culture and other cultures to conventional geometry (refer to <xref ref-type="fig" rid="figure-1">Figure 1</xref>) used in this study is an adaptation of the ideas of both <xref ref-type="bibr" rid="BIBR-2">(Adam, 2004)</xref> and <xref ref-type="bibr" rid="BIBR-4">(Alangui, 2017)</xref>. In <xref ref-type="fig" rid="figure-1">Figure 1</xref>, the arrow between student teachers’ world and conventional geometry and its application characterizes the relationship between college geometry and student teachers’ geometrical experiences from their own culture and vice versa. Also, the arrows connecting the contextual framework of the student teachers’ world and their geometrical practices serve to illustrate the reciprocal interaction between the practice and the context. The arrows connecting college geometry and conventional geometry, as well as their applications, illustrate the connection between the practical application of geometry at college and the broader context of conventional geometry and vice versa.</p><p>The arrow between student teachers’ world, including their geometrical practices in their culture and geometrical activities from other cultures, characterizes the relationship between their cultural practice and the practice in other cultures and vice versa. The arrow between conventional geometry and its application and geometrical activities from other cultures characterizes the relationship between college geometry and geometrical activities from other cultures and vice versa. Mathematics teacher educators engage in geometrical thinking and practices by leveraging this rich knowledge to link geometrical activities in the students' culture and other cultures to conventional geometry. This ethnogeometric thinking is believed to be influenced by demographic factors such as gender, religion, and years of teaching experience <xref ref-type="bibr" rid="BIBR-33">(Pradhan, 2023)</xref>; <xref ref-type="bibr" rid="BIBR-41">(Thakur, 2019)</xref>. Given this framework, it is possible to connect student teachers’ geometrical experiences from their own culture and other cultures to college geometry during classroom instruction and that such connectedness is straightforward.</p><p>Although it is conceivable that the correlation between geometrical activities in culture and conventional geometry may be apparent, <xref ref-type="bibr" rid="BIBR-4">(Alangui, 2017)</xref>) contends that these actions are inherently linked to established concepts in conventional mathematics. The framework facilitates the examination of cultural activities for their intrinsic geometrical elements, which are subsequently analyzed in connection to established geometry. The purpose of employing ethnomathematical perspectives in geometry classroom instruction, according to<xref ref-type="bibr" rid="BIBR-2">(Adam, 2004)</xref>, is to among other things enable students to establish connections between their understanding of geometry and similar contexts beyond their personal experiences or culture through the use of geometric reasoning. This perspective enables students to cultivate a sense of worth and appreciation for the present knowledge.</p></sec></sec><sec><title>METHODS</title><sec><title>Study design</title><p>In this present study, a cross-sectional survey was employed. We chose to employ a survey on the viewpoint it allows for the collection of quantitative data on an extensive sample from a predetermined population in an attempt to determine the contemporary status of the phenomena being investigated for one or more variables <xref ref-type="bibr" rid="BIBR-5">(Asenahabi, 2019)</xref>; <xref ref-type="bibr" rid="BIBR-24">(Mathers et al., 2009)</xref>. In this survey, we used the collected data from explorations to make inferences about the population of interest by employing statistics. Specifically, the survey was used to investigate whether the explanatory variables (such as gender, religion, and teaching experience) predict the outcome variable ‘incorporation practices’ using the logistic regression model.</p></sec><sec><title>Context and participants</title><p>This present study was carried out in 22 out of 32 Ghanaian public colleges of education affiliated with four traditional universities that teamed up to develop new teacher education curricula as part of Ghana’s teacher education reforms. These colleges run a common B.Ed. curriculum developed by these four traditional universities supported by Transforming Teacher Education and Learning [T-TEL] under the supervision of the NCTE in Ghana. The purposive selection of these sites is because these colleges run the common B.Ed. program that demands that teacher educators employ culturally relevant pedagogies [ethnomathematical perspectives] <xref ref-type="bibr" rid="BIBR-25">(Education, 2017)</xref>, <xref ref-type="bibr" rid="BIBR-26">(Education, 2018)</xref>, such as the incorporation of mathematics found outside of school into mathematics teaching.</p><p>The estimated population for the study was 192 mathematics teacher educators who teach in the 32 public colleges of education. To obtain a representative sample, we relied sample size adequacy recommendation by <xref ref-type="bibr" rid="BIBR-13">(Gill et al., 2010)</xref> with a 95% confidence level and 5% confidence interval to obtain 128 mathematics teacher educators for the study. We clustered the 32 colleges of education by three belts (Coastal, Forest, and Savannah) and selected 22 using quota sampling to obtain a population-representative sample. Of these selected colleges of education, 18 had six mathematics teacher educators, while four had five mathematics teacher educators. Among these selected teacher educators, 73 participated in the web survey.</p></sec><sec><title>Data collection</title><p>Due to the lack of existing instruments to measure the construct “incorporation practices”, the web-based questionnaire was self-developed. The existing body of literature on integrating ethnomathematical perspectives <xref ref-type="bibr" rid="BIBR-34">(Putra &amp; Mahmudah, 2021)</xref>; <xref ref-type="bibr" rid="BIBR-35">(Rosa &amp; Orey, 2012)</xref>, <xref ref-type="bibr" rid="BIBR-36">(Rosa &amp; Orey, 2020)</xref> provided valuable insights into the constructs of incorporation practices. To provide evidence on content validity, we presented the draft of the questionnaire to two other experts in the field of ethnomathematics for their expert judgment. Based on their suggestions, four items were revised. After the expert reviewers’ comments on the instruments, we engaged four mathematics teacher educators in one-on-one interviews to share their thoughts and clarify issues while responding to the questions in the web-based survey. This was to help find out if respondents may understand the questions and choice of terminology used in the instruments. Based on the findings from the interview, we revised three items and returned them to the interviewees to determine if the revised questions were better.</p><p>We pre-tested the instruments among 20 selected mathematics teacher educators who were part of the sampling frame but not the sample to estimate its reliability. In estimating the reliability of the questionnaire based on the responses, T<xref ref-type="bibr" rid="BIBR-40">(Tayakol &amp; Dennick, 2011)</xref> recommend Cronbach's Alpha as the most suitable method for assessing the internal consistency of an instrument. In light of this, the study employed Cronbach’s Alpha in measuring the internal consistency of scales for the questionnaire. The Cronbach's Alpha coefficient for the questionnaire sections was .80, indicating the acceptability of the instrument <xref ref-type="bibr" rid="BIBR-39">(Taber, 2018)</xref>. The web-based structured questionnaire comprised of two sections: A, and B. Section “A” included three demographic questions. Section “B” consisted of 17 Likert-type items measured on four points ranging from strongly disagree to strongly agree, related to mathematics teacher educators’ practices of incorporating mathematics found outside of school into geometry teaching.</p><p>In garnering data for this present study, we employed a web-based survey to reach out to participants to respond to questionnaires without our presence. The decision to use web-based surveys was to leverage its viability to reach out to large samples over a wide geographical area within a relatively short space of time <xref ref-type="bibr" rid="BIBR-7">(Callegaro et al., 2015)</xref>. After securing permission from the Principals of the selected colleges of education to access mathematics teacher educators for study, we reached out to the heads of department with a cover letter, consent forms and link to a Google form inviting mathematics teacher educators to participate in the online survey. In line with this, the heads of the mathematics department were tasked to share the links to the survey on their various WhatsApp platforms and convince participants of the relevance of their voluntary participation in the study.</p></sec><sec><title>Data analysis</title><p>We first downloaded the Excel spreadsheet of the web-based survey responses and imported the data file into SPSS version 26. These extracted web-based questionnaires were edited for completeness and consistency. In analyzing the data, a logistic regression model was utilized to evaluate the prediction of explanatory variables (including gender, teaching experience, and religion) on the likelihood of mathematics teacher educators incorporating mathematics found outside of school into geometry teaching. The logistic regression model was employed due to its high permissibility regarding the inclusion of predictor variables <xref ref-type="bibr" rid="BIBR-32">(Pallant, 2016)</xref>. This model allowed for the assessment of the suitability of explanatory variables, such as demographic factors, for predicting the outcome variable, which is ‘incorporation practices’ by differentiating between participants who integrate mathematics found outside of school in geometry teaching and those who do not. The dichotomous outcome variable in the logistic regression analysis was recoded as either 0 or 1. The outcome variable assumed a value of 1 when a mathematics teacher educator integrates the mathematics found outside of school into geometry teaching, whereas a value of 0 was assigned if a mathematics teacher did not integrate those forms of mathematics. The equation for the logistic regression model is given as follows:</p><p><inline-formula><tex-math id="math-1"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle \text{p\ (y)=}\frac{\text{1}}{\text{1+e}^{\text{-(}\text{b}_{\text{0}}\text{+}\text{b}_{\text{1x1}}\text{+}\text{b}_{\text{2x2}}\text{)}}} \end{document} ]]></tex-math></inline-formula></p><p>where p(y) stands for the likelihood of mathematics teacher educators incorporating mathematics found outside of school into geometry teaching, b is the coefficients of the predictors, and x is the predictor variables such as gender, teaching experience, and religion.</p></sec></sec><sec><title>FINDINGS</title><p>In this present study, descriptive statistics (involving percentage, frequency, mean and standard deviation) were used to examine mathematics teacher educators’ practices of incorporating the forms of mathematics found outside of school into geometry teaching. Participants’ responses to each item in the web survey are shown in <xref ref-type="table" rid="table-1">Table 1</xref>.</p><p>As shown in <xref ref-type="table" rid="table-1">Table 1</xref>, the mathematics teacher educators’ responses had mean and standard deviation scores that ranged from 1.68 to 1.99 and 0.00 to 0.47, respectively, with a mean of means </p><table-wrap id="table-1" ignoredToc=""><label>Table 1</label><caption><p>Descriptive statistic of mathematics teacher educators’ practices of incorporating the mathematics found</p><p>outside of school into geometry teaching</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Items</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>D</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>A</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>M</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>SD</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><italic>f</italic> (%)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><italic>f </italic>(%)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1. I explore mathematical ideas from the student teacher’s cultural background and environment to convey geometric concepts in the classroom.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6 (8)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>67 (92)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.92</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.28</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>2. I guide student teachers to examine the history of geometrical development in different cultures.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>17 (23)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>56 (77)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.77</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.43</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3. I engage in geometrical practices that originate from the student teacher’s culture with those of school geometry.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>9 (12)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>64 (88)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.88</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.33</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4. I adjust geometry concepts to make classroom context more suited to the cultural backgrounds and environment of the student teachers.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8 (11)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>65 (89)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.89</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.32</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5. I situate the teaching of geometry concepts in the classrooms in a cultural context involving the cultural values, norms, and beliefs of student teachers.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>13 (18)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>60 (82)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.82</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.39</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6. I engage the geometry teaching holistically through concrete experience.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6 (8)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>67 (92)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.92</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.28</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7. I make concrete comparisons between school geometric concepts and local culture or environment in a classroom situation.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4 (6)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>69 (94)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.95</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.23</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8. I make connections/links to student teachers’ familiar practices and geometry concepts</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3 (4)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>70 (96)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.96</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.20</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>9. I explain the relevance of learning each geometric concept to the student teachers’ real lives in the classroom.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1 (1)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>72 (99)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.99</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.12</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10. I elaborate geometric model in its different applications and contexts.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5 (7)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>68 (93)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.93</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.25</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11. I provide an overview of student learning progress drawn from real activities, both inside and outside the classroom by employing various forms of assessment.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6 (8)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>67 (92)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.92</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.28</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>12. I explore the geometrical forms and patterns of traditional objects that constitute mathematical knowledge.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10 (14)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>63 (86)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.86</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.35</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>13. I prepare geometry teaching and learning materials from the local culture and student teachers’ environment.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7 (10)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>66 (90)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.90</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.30</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>14. I lead student teachers to explore within the local culture some activities that have geometric aspects, such as students visiting building and carpentry sites, metalsmiths, etc. to observe and gather information by asking questions and experiencing these activities.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>23 (32)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>50 (68)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.68</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.47</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>15. I encourage participation in school geometric activities related to perimeter, area, and volume, that were outside their experiences and culture to learn about and to use conventional mathematical systems, notations, and techniques.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5 (7)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>68 (93)</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.93</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.25</p></td></tr></tbody></table><table-wrap-foot><p>D–Disagree, A–Agree, <italic>f</italic>– frequency, <italic>M</italic>–Mean, <italic>SD</italic>–Standard Deviation; Mean value interpretation: 1.0–1.50 and 1.51–2.0 as not incorporated and incorporated, respectively.</p></table-wrap-foot></table-wrap><table-wrap id="table-2" ignoredToc=""><label>Table 2</label><caption><p>Descriptive statistics of the number of cases in each categorical variable</p><p>and their codings</p></caption><table frame="box" rules="all"><thead><tr><th colspan="3" rowspan="2" style="" align="right" valign="middle"><p>Frequency</p></th><th colspan="2" rowspan="1" style="" align="center" valign="bottom"><p>Parameter coding</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>(1)</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>(2)</p></td></tr><tr><td colspan="1" rowspan="3" style="" align="left" valign="top"><p>Years of teaching experience</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1-5 years</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>22</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td></tr><tr><td colspan="1" rowspan="1" style="border: none;" align="left" valign="top"><p>6-10 years</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Over 10 years</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>40</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.00</p></td></tr><tr><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>Religion</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Christianity</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>58</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Islam</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>15</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td></tr><tr><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>Gender</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Male</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>62</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Female</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td></tr></tbody></table></table-wrap><table-wrap id="table-3" ignoredToc=""><label>Table 3</label><caption><p>Collinearity statistics of the explanatory variables</p></caption><table frame="box" rules="all"><thead><tr><th colspan="2" rowspan="1" style="" align="left" valign="top"/><th colspan="2" rowspan="1" style="" align="center" valign="bottom"><p>Unstandardized Coefficients</p><break/></th><th colspan="2" rowspan="1" style="" align="center" valign="top">Standardized Coefficients</th><th colspan="3" rowspan="1" style="" align="center" valign="top">Collinearity Statistics</th></tr></thead><tbody><tr><td colspan="2" rowspan="1" style="" align="left" valign="top">Model</td><td colspan="1" rowspan="1" style="" align="left" valign="bottom"><p>B</p></td><td colspan="1" rowspan="1" style="" align="left" valign="bottom"><p>Std. Error</p></td><td colspan="1" rowspan="1" style="" align="left" valign="bottom"><p>Beta</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top">T</td><td colspan="1" rowspan="1" style="" align="left" valign="top">p-value</td><td colspan="1" rowspan="1" style="" align="left" valign="bottom"><p>Tolerance</p></td><td colspan="1" rowspan="1" style="" align="left" valign="bottom"><p>VIF</p></td></tr><tr><td colspan="2" rowspan="1" style="" align="left" valign="top">1  (Constant)</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.98</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.06</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p/></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>16.90</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="2" rowspan="3" style="" align="left" valign="top"><p>Gender</p><p>Teaching experience</p><p>Religion</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-.04</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.09</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-.06</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-.48</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.63</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.95</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.06</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-.04</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.04</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-.12</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-1.00</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.32</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.95</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.05</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.01</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.06</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.02</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.18</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.86</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>.98</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1.02</p></td></tr></tbody></table><table-wrap-foot><p>Dependent Variable: Practice_Category; <italic>B</italic>-intercept/coefficient of the constant, Std.-standard, <italic>p</italic>-probability, <italic>t</italic>- t-value, <italic>VIF</italic>- variance inflation factor</p></table-wrap-foot></table-wrap><p>of 1.87. This means that mathematics teacher educators at the colleges of education, on average, incorporate the forms of mathematics found outside of school into geometry teaching. For example, 63 (86%) of the participants agreed with the statement ‘I explore the geometrical forms and patterns of traditional objects that constitute mathematical knowledge’, whereas 10 (14%) of them disagreed with the mean and standard deviation scores of 1.86 and 0.35, respectively. This suggests that most mathematics teacher educators explore the geometrical forms and patterns of traditional objects that constitute mathematical knowledge when teaching geometry in the classroom.</p><p>To investigate whether the explanatory variables (such as gender, teaching experience, and religion) predict mathematics teacher educators’ practices of integrating mathematics found outside of school into geometry teaching using a logistic regression model. As with most parametric tests, preliminary analyses of the dataset are needed to ensure no violation of the assumptions underlying logistic regression analysis. In this direction, we conducted assumption testing to check for sample size, multicollinearity, and outliers where no serious violations were noted. To check for sample adequacy for each case in the predictors, we run descriptive statistics on each of the predictors. The results showed a limited case in the African Traditional category of the Religion predictor. As a result, we decided to collapse the African Traditional and Islam categories to form a single category in line with <xref ref-type="bibr" rid="BIBR-32">(Pallant, 2016)</xref> recommendation. <xref ref-type="table" rid="table-2">Table 2</xref> presents the descriptive statistics showing the number of cases in each categorical variable and their codings.</p><p>From <xref ref-type="table" rid="table-2">Table 2</xref>, it can be observed that out of the 73 mathematics teacher educators who participated in the online survey, 62 of them were males, while 11 were females. This shows that there were more male staff than we have females in the study. This finding is not surprising because of the vast disparity between male and female participation in mathematics programs in higher education in favor of males <xref ref-type="bibr" rid="BIBR-16">(Ibrahim et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-42">(Vooren et al., 2022)</xref>. We also performed a check to ensure that there was no multicollinearity among the explanatory variables. <xref ref-type="table" rid="table-3">Table 3</xref> presents the collinearity statistics of the explanatory variables.</p><p>From <xref ref-type="table" rid="table-3">Table 3</xref>, it can be observed that the tolerance value for the explanatory variables ranged from 0.95 to 0.78, which is not less than 0.10; therefore, we have not violated the multicollinearity assumption. This is also supported by the VIF value, which ranged from 1.02 to 1.06, which is well below the cut-off of 10<xref ref-type="bibr" rid="BIBR-32">(Pallant, 2016)</xref>. Now, the model (set of predictor variables) was tested using</p><table-wrap id="table-4" ignoredToc=""><label>Table 4</label><caption><p>Hosmer and lemeshow test goodness of fit for the model</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Step</p></th><th colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Chi-square</p></th><th colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>df</p></th><th colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>p-value</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.51</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>              .91</p></td></tr></tbody></table><table-wrap-foot><p><italic>df</italic>- degree of freedom, <italic>p</italic>-probability</p></table-wrap-foot></table-wrap><table-wrap id="table-5" ignoredToc=""><label>Table 5</label><caption><p>How the model predicts the correct category</p></caption><table frame="box" rules="all"><thead><tr><th colspan="3" rowspan="1" style="" align="left" valign="top"/><th colspan="3" rowspan="1" style="" align="center" valign="top">Predicted Practice Category</th></tr></thead><tbody><tr><td colspan="3" rowspan="1" style="" align="center" valign="middle">Observed</td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Low score</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>High score</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top">Percentage Correct</td></tr><tr><td colspan="1" rowspan="3" style="" align="center" valign="top"><p>Step 1</p></td><td colspan="1" rowspan="2" style="" align="center" valign="top"><p>Practice Category</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>Low score</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>0</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.0</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>High score</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>0</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>68</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>100.0</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="top">Overall Percentage</td><td colspan="1" rowspan="1" style="" align="center" valign="top"/><td colspan="1" rowspan="1" style="" align="center" valign="top"/><td colspan="1" rowspan="1" style="" align="center" valign="top"/><td colspan="1" rowspan="1" style="" align="center" valign="top">93.2</td></tr></tbody></table><table-wrap-foot><p>The cut value is .500</p></table-wrap-foot></table-wrap><table-wrap id="table-6" ignoredToc=""><label>Table 6</label><caption><p>Logistic regression predicting the likelihood of integrating mathematics found outside of school in geometry teaching</p></caption><table frame="box" rules="all"><thead><tr><th colspan="10" rowspan="1" style="" align="right" valign="top">95% <italic>C.I.</italic> for Odds Ratio</th></tr></thead><tbody><tr><td colspan="2" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>B</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>S.E.</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Wald</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>df</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p><italic>p</italic>-value</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Odds Ratio</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Lower</p></td><td colspan="1" rowspan="1" style="" align="center" valign="bottom"><p>Upper</p></td></tr><tr><td colspan="1" rowspan="5" style="" align="right" valign="top"><p>Step 1<sup>a</sup></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Gender(1) [0=Male, 1=Female]</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>-.55</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.24</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.20</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.66</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.58</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.05</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>6.57</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Teaching experience [1-5 years]</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.65</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>2</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.72</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p/></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Teaching experience(1)</p><p>[6-10 years]</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>18.04</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>12094.53</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>68410873.35</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Teaching experience(2)</p><p>[Over 10 years]</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>-.96</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.19</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.65</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.42</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.38</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.04</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>3.93</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Religion(1) [0=Christianity, 1=Islam]</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.04</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.19</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.00</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.98</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>1.04</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>.10</p></td><td colspan="1" rowspan="1" style="" align="center" valign="top"><p>10.60</p></td></tr></tbody></table><table-wrap-foot><p>Variable(s) entered on step 1: Gender, Teaching experience, Religion; <bold>B</bold>-intercept/coefficient of the constant, <bold>S.E</bold>.- standard error, <bold>df</bold>- degree of freedom, <bold>p</bold>-probability </p></table-wrap-foot></table-wrap><p> the Hosmer and Lemeshow Goodness of Fit Test. Hosmer and Lemeshow’s Goodness of Fit Test is considered the most reliable test of model fit <xref ref-type="bibr" rid="BIBR-32">(Pallant, 2016)</xref>. <xref ref-type="table" rid="table-4">Table 4</xref> presents the Hosmer and Lemeshow Goodness of Fit Test results.</p><p>It is apparent from  <xref ref-type="table" rid="table-4">Table 4</xref> that the model is acceptable and fits the data [Chi-Square=1.51, df=5, and p=0.91 (&gt;0.05)]. Therefore, we conclude that the model containing all predictors was statistically significant, χ2 (5, N = 73) = 1.51, p &gt; 0.05, indicating that the model was able to distinguish between participants who integrate mathematics found outside of school in geometry teaching and those who do not. <xref ref-type="table" rid="table-5">Table 5</xref> provides information about how well the model can predict the correct category (low practice score/high practice score).</p><p>As evident in <xref ref-type="table" rid="table-5">Table 5</xref>, 68 cases are observed to have high scores and are correctly predicted to have high scores. However, 15 cases are observed to have low scores but were predicted to have high scores. The model correctly predicted 93.2% of the cases overall. The logistic regression results predicting the likelihood of mathematics teacher educators integrating mathematics found outside of school in geometry teaching are presented in <xref ref-type="table" rid="table-6">Table 6</xref>.</p><p>As shown in <xref ref-type="table" rid="table-6">Table 6</xref>, all three explanatory variables (gender, teaching experience, and religion) made no statistically significant contribution to the model (p&gt;0.05). Thus, the model found all three explanatory variables not to be viable predictors [(gender, p = 0.66; 95% C.I. 0.05, 6.57), (teaching experience, p = 0.42; 95% C.I. 0.04, 3.93), (religion, p = 0.98; 95% C.I. 0.10, 10.60)] when it comes to predicting who integrates mathematics found outside of school into geometry teaching or not. This indicates that all three explanatory variables do not predict mathematics teacher educators’ incorporation of mathematics found outside of school into geometry teaching.</p></sec><sec><title>DISCUSSION</title><p>This study examined whether the explanatory variables (such as gender, teaching experience, and religion) predict mathematics teacher educators’ practices of integrating mathematics found outside of school into geometry teaching. It is postulated that teachers' instructional decisions within the classroom, including the use of ethnomathematical perspectives in teaching mathematics and specifically geometry, are subject to the influence of demographic variables such as teaching experience, gender, religion, and other relevant aspects. This claim was influenced by <xref ref-type="bibr" rid="BIBR-14">(Gilsdorf, 2015)</xref> findings, which revealed that women were deliberately barred from formal mathematical activities exclusively based on their gender.</p><p>The findings showed that mathematics teacher educators at the colleges of education, on average, incorporate the forms of mathematics found outside of school into geometry teaching. Some mathematics educators bemoaned the lack of clarity on integrating ethnomathematical perspectives (mathematics found outside of school) into geometry teaching in the curriculum <xref ref-type="bibr" rid="BIBR-19">(Kyeremeh et al., 2024-07-27)</xref>. This suggests that mathematics teachers may end up not employing ethnomathematical perspectives in teaching geometry in the classroom, which contradicts the present study's findings. <xref ref-type="bibr" rid="BIBR-30">(Orey &amp; Rosa, 2016)</xref>, in contrast, noted that “connections are often done superficially because of a teacher’s inexperience in ways of connecting to deep ideas” (p. 167). Educator preparation and training in sociocultural-based pedagogy are essential for the effective implementation of ethnomathematics in the classroom.</p><p>In this study, the logistic regression model results revealed that the explanatory variable gender is not a viable predictor for mathematics teacher educators’ incorporation of mathematics found outside of school into geometry teaching. This result corroborates some previous studies <xref ref-type="bibr" rid="BIBR-3">(Aikpitanyi &amp; Eraikhuemen, 2017)</xref>; <xref ref-type="bibr" rid="BIBR-33">(Pradhan, 2023)</xref>; <xref ref-type="bibr" rid="BIBR-41">(Thakur, 2019)</xref> on demographic factors that predict ethnomathematics integration. <xref ref-type="bibr" rid="BIBR-3">(Aikpitanyi &amp; Eraikhuemen, 2017)</xref>, for instance, observed no significant disparity between male and female mathematics teachers in their adoption of ethnomathematics approaches. This is consistent with <xref ref-type="bibr" rid="BIBR-27">(Mosimege &amp; Egara, 2022)</xref> study. Among <xref ref-type="bibr" rid="BIBR-27">(Mosimege &amp; Egara, 2022)</xref> findings, it was revealed that there is no significant difference between male and female mathematics teachers in their incorporation of ethnomathematical perspectives. These findings are inconsistent with a previous study <xref ref-type="bibr" rid="BIBR-6">(Ayalew et al., 2024)</xref>. For example, <xref ref-type="bibr" rid="BIBR-6">(Ayalew et al., 2024)</xref> reported no statistically significant relationship between mathematics teachers' self-reported practice of culturally responsive pedagogy and their gender.</p><p>The present study’s results also revealed that the explanatory variable teaching experience did not predict mathematics teacher educators’ incorporation of mathematics found outside of school in geometry teaching. These findings concur with that of <xref ref-type="bibr" rid="BIBR-17">(Khalil, 2023)</xref> study, which found that teachers’ gender and teaching experience do not predict the integration of ethnomathematics in mathematics teaching. The results of these studies are inconsistent with a prior study showing a notable correlation between educators’ teaching experience and their use of ethnomathematics approaches in teaching <xref ref-type="bibr" rid="BIBR-6">(Ayalew et al., 2024)</xref>; <xref ref-type="bibr" rid="BIBR-33">(Pradhan, 2023)</xref>. For instance, <xref ref-type="bibr" rid="BIBR-6">(Ayalew et al., 2024)</xref> reported that teachers’ years of teaching experience predict their practice of culturally responsive pedagogy, an aspect of ethnomathematics.</p><p>As societies become more diversified, urbanized and international, integrating ethnomathematical perspectives into mathematics teaching enhances teachers' intellectual and professional development. The ethnomathematics program requires teachers to have both flexibility and proficiency in mathematics since they must select examples pertinent to students' sociocultural environments <xref ref-type="bibr" rid="BIBR-21">(Kyeremeh et al., 2024-07-27)</xref>; <xref ref-type="bibr" rid="BIBR-30">(Orey &amp; Rosa, 2016)</xref>. Teachers who employ ethnomathematical perspectives take into account students' sociocultural backgrounds and make mathematics learning more engaging and relevant. Teachers must understand their students' demographics (culture, environment, and experiences) to relate classroom mathematics to their lives <xref ref-type="bibr" rid="BIBR-1">(Acharya et al., 2021)</xref>; <xref ref-type="bibr" rid="BIBR-15">(Hendriyanto et al., 2023)</xref>. It is essential to acknowledge the contributions of diverse knowledge systems, various cultures, and the dynamics of cultural interactions to comprehend the genesis and evolution of mathematical concepts throughout human history. According to <xref ref-type="bibr" rid="BIBR-10">(D’Ambrosio, 2017)</xref>, ethnomathematics denounce inequality, arrogance, and bigotry, focusing on rehabilitating historically marginalized individuals and empowering excluded societal groups. Ethnomathematics aids in restoring cultural dignity and provides intellectual resources for everyone to practice citizenship comprehensively.</p></sec><sec><title>CONCLUSION</title><p>This study examined whether the explanatory variables (such as gender, teaching experience, and religion) predict mathematics teacher educators’ practices of integrating mathematics found outside of school into geometry teaching. Based on the findings, we concluded that mathematics teacher educators at the colleges of education employ ethnomathematical perspectives by integrating the forms of mathematics found outside of school into geometry teaching. The use of this approach was not predicted by explanatory variables such as gender, teaching experience, and religion. These findings would help key actors of mathematics education to re-examine their beliefs and practices about what counts as legitimate school mathematics, specifically geometry, and propel them to tailor mathematics curriculum and instruction in such a way that builds on students’ socio-cultural experiences. In this present study, we developed an interest in studying the viability of the demographic variables (such as gender, teaching experience, and religion) in predicting mathematics teacher educators’ practices of integrating mathematics found outside of school into geometry teaching. Therefore, future studies could explore the viability of other demographic variables (such as geographical location of institutions, academic qualifications, and training) in predicting mathematics teachers’ practices of integrating ethnomathematical perspectives into mathematics teaching.</p></sec><sec><title>ACKNOWLEDGEMENT</title><p>We wish to acknowledge all mathematics teacher educators in the colleges of education in Ghana who accepted and partook in this study. This article is based on the principal author's doctoral thesis under the co-authors' supervision. The study also received approval from the Humanities and Social Sciences Research Ethics Committee of Kwame Nkrumah University of Science and Technology for using human subjects with approval number: HuSSREC/AP/104/VOL.1.</p></sec></body><back><sec sec-type="author-contributions"><title>Author Contributions</title><p>PK: conceived, conducted the literature review, designed the instrument, analyzed data, reported the results and discussions, and wrote and proofread the write-up. FKA contributed to the literature review, peer debriefing, and proofreading of the write-up, DCO: contributed to the validation of the research instruments, peer debriefing, literature review and proofreading of the write-up. All authors read and approved the final manuscript.</p></sec><sec><title>Availability of data and materials</title><p>All data are available from the authors.</p></sec><sec><title>Competing interests</title><p>The authors declare that the publishing of this paper does not involve any conflicts of interest. 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