Moeketsi Mosia
Biographic Data
| ID | 8338910 |
|---|---|
| NAME | Moeketsi Mosia |
| GIVEN NAMES | Moeketsi |
| FAMILY NAME | Mosia |
| SIGNATURE | MOSIA M |
| AFFILIATIONS | University of the Free State |
| ORCID | 0000-0002-7189-0018 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Bridging academic and industry expectations in cybersecurity education through competencies for teaching network and application security in Nigerian Universities
As global connectivity continues to expand, the demand for a highly skilled cybersecurity workforce capable of protecting critical digital infrastructure has become increasingly urgent. This study investigates the competencies required for effectively teaching cybersecurity in federal universities in South-Eastern Nigeria from the perspectives of Computer Education lecturers and industrial experts. An explanatory sequential mixed-methods design w…
Bayesian structural equation modelling of associations between digital access and data literacy competencies in South African university students
This study examines the association between reliable internet access during high school and university students’ self-assessed skills in data analysis and visualisation, amidst the growing emphasis on data literacy in higher education. It also examines the mediating role of data analysis competence and the robustness of these associations across different statistical models. The research employed the Bayesian structural equation model to analyse …
Effectiveness of AI-based tutoring and assessment systems in mathematics education
Artificial intelligence (AI) is increasingly transforming mathematics education through adaptive tutoring systems, automated feedback, and AI-supported assessment tools. However, evidence regarding the effectiveness of these technologies remains dispersed across diverse contexts and study designs. This systematic review synthesised empirical research on the effectiveness of AI-based tutoring and assessment systems in mathematics education publish…
Bridging the gap between intention and enactment
Introduction The alignment between pre-service teachers’ instructional intentions and their actual classroom enactment remains a critical yet underexplored issue in STEM teacher education. In this study, STEM education is operationalised through science-led inquiry-based practical work that integrates scientific reasoning, mathematical thinking, and problem-solving practices characteristic of integrated STEM pedagogy. The study investigates the i…
Heterogeneous self-efficacy effects in mathematics pre-service teachers’ AI adoption
Introduction This study examines heterogeneity in the mediating role of self-efficacy between prior AI training and adoption intentions among pre-service mathematics teachers. Methods Using data from 79 pre-service teachers at the University of the Free State, South Africa, Bayesian moderated mediation analysis was employed to assess whether this pathway operates uniformly across demographic subgroups. Results Findings revealed pronounced heterog…
South African Mathematics Teachers’ Perspectives on Data-Driven Instructional Decision-Making
Mathematics achievement in South African schools continues to be limited by identifiable barriers to instructional improvement, including inadequate technological infrastructure, excessive teacher workloads, and inconsistent institutional support for professional learning. Although data-driven instruction is widely promoted, little is known about how psychological constructs such as instrumental attitudes, perceived control, social norms, and sel…
Tracking Student Engagement through Data Analytics
Learning Management Systems (LMS), such as Moodle, have become increasingly important in delivering education in recent years. With the advent of technology and the outbreak of the COVID-19 pandemic, the use of LMS has taken on a new dimension, as most teaching and learning rely on their capabilities. The present study aimed to investigate the impact of the increase in the opportunities for face-to-face classes on the level of student engagement …
Reducing mathematics anxiety through acceptance and commitment therapy
Mathematics is an essential discipline in the curricula of most educational systems, from early childhood to high school. However, a significant number of students face challenges due to anxiety disorders. Acceptance and commitment therapy (ACT) does attempt to alleviate math anxiety, but there seems to be a lack of research evaluating its effectiveness in comparison with conventional counselling approaches. This study aimed to investigate the im…
Bayesian Hierarchical Modelling of Student Academic Performance
This study explores the multifaceted factors influencing academic performance among undergraduate students enrolled in Science, Technology, Engineering, and Mathematics (STEM) programs at a South African university. Employing a Bayesian hierarchical modelling approach, this research analyses data from 630 students collected over four academic years (2019–2023). The findings indicate that high school mathematics marks and progression rates serve a…
Factors Influencing Students’ Performance in University Mathematics Courses
This study examined the predictive relationships between Grade 12 National Senior Certificate (NSC) Mathematics results (representing students’ academic preparation at the secondary school level), university mathematics credits (indicating students’ progress in mathematics-related university courses), gender, and socioeconomic status (SES, measured by school quintile and family income) on student performance in specific university mathematics cou…
Bayesian factorial regression of perceived barriers in robotics education
Designing successful professional development requires an understanding of perceived obstacles to integrating robotics in classroom; however, there are currently few validated assessment instruments and analyses of subgroup differences across educator career stages. This study looked at how pre-service teachers (PSTs) and teacher educators perceive barriers differently and validated a Perceived Implementation Barriers Composite (PIBC). From robot…
Modelling Student Retention in Tutorial Classes with Uncertainty—A Bayesian Approach to Predicting Attendance-Based Retention
A Bayesian additive regression tree (BART) is a recent statistical method that blends ensemble learning with nonparametric regression. BART is constructed using a Bayesian approach, which provides the benefit of model-based prediction uncertainty, enhancing the reliability of predictions. This study proposes the development of a BART model with a binomial likelihood to predict the percentage of students retained in tutorial classes using attendan…
Re-Envisioning Scholarship of Teaching and Learning with Data Analytics and a Borderless Curriculum in a Troubled World
In an era marked by increasing geopolitical strife and societal challenges, the imperative role of education in bridging divides and fostering understanding is unparalleled. This special issue aims to delve into the transformative potential of integrating data analytics within the scholarship of teaching and learning (SoTL), and in crafting a curriculum that transcends borders. Such an endeavour is crucial in effectively navigating and positively…
Web-based Clustering Application for Determining and Understanding Student Engagement Levels in Virtual Learning Environments
The increasing use of virtual learning environments (VLEs) in recent years has transformed teaching and learning methods. Universities now combine VLEs with traditional classrooms to accommodate hybrid teaching and learning approaches. However, student engagement with VLEs varies, and universities lack the tools to effectively determine and analyse VLE engagement. Consequently, data-driven decision-making regarding VLE usage remains a challenge f…
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Re-Envisioning Scholarship of Teaching and Learning with Data Analytics and a Borderless Curriculum in a Troubled World
In an era marked by increasing geopolitical strife and societal challenges, the imperative role of education in bridging divides and fostering understanding is unparalleled. This special issue aims to delve into the transformative potential of integrating data analytics within the scholarship of teaching and learning (SoTL), and in crafting a curriculum that transcends borders. Such an endeavour is crucial in effectively navigating and positively…
Web-based Clustering Application for Determining and Understanding Student Engagement Levels in Virtual Learning Environments
The increasing use of virtual learning environments (VLEs) in recent years has transformed teaching and learning methods. Universities now combine VLEs with traditional classrooms to accommodate hybrid teaching and learning approaches. However, student engagement with VLEs varies, and universities lack the tools to effectively determine and analyse VLE engagement. Consequently, data-driven decision-making regarding VLE usage remains a challenge f…
Modelling Student Retention in Tutorial Classes with Uncertainty—A Bayesian Approach to Predicting Attendance-Based Retention
A Bayesian additive regression tree (BART) is a recent statistical method that blends ensemble learning with nonparametric regression. BART is constructed using a Bayesian approach, which provides the benefit of model-based prediction uncertainty, enhancing the reliability of predictions. This study proposes the development of a BART model with a binomial likelihood to predict the percentage of students retained in tutorial classes using attendan…
Tracking Student Engagement through Data Analytics
Learning Management Systems (LMS), such as Moodle, have become increasingly important in delivering education in recent years. With the advent of technology and the outbreak of the COVID-19 pandemic, the use of LMS has taken on a new dimension, as most teaching and learning rely on their capabilities. The present study aimed to investigate the impact of the increase in the opportunities for face-to-face classes on the level of student engagement …
Reducing mathematics anxiety through acceptance and commitment therapy
Mathematics is an essential discipline in the curricula of most educational systems, from early childhood to high school. However, a significant number of students face challenges due to anxiety disorders. Acceptance and commitment therapy (ACT) does attempt to alleviate math anxiety, but there seems to be a lack of research evaluating its effectiveness in comparison with conventional counselling approaches. This study aimed to investigate the im…
Bayesian Hierarchical Modelling of Student Academic Performance
This study explores the multifaceted factors influencing academic performance among undergraduate students enrolled in Science, Technology, Engineering, and Mathematics (STEM) programs at a South African university. Employing a Bayesian hierarchical modelling approach, this research analyses data from 630 students collected over four academic years (2019–2023). The findings indicate that high school mathematics marks and progression rates serve a…
Factors Influencing Students’ Performance in University Mathematics Courses
This study examined the predictive relationships between Grade 12 National Senior Certificate (NSC) Mathematics results (representing students’ academic preparation at the secondary school level), university mathematics credits (indicating students’ progress in mathematics-related university courses), gender, and socioeconomic status (SES, measured by school quintile and family income) on student performance in specific university mathematics cou…
Bayesian factorial regression of perceived barriers in robotics education
Designing successful professional development requires an understanding of perceived obstacles to integrating robotics in classroom; however, there are currently few validated assessment instruments and analyses of subgroup differences across educator career stages. This study looked at how pre-service teachers (PSTs) and teacher educators perceive barriers differently and validated a Perceived Implementation Barriers Composite (PIBC). From robot…
Bridging academic and industry expectations in cybersecurity education through competencies for teaching network and application security in Nigerian Universities
As global connectivity continues to expand, the demand for a highly skilled cybersecurity workforce capable of protecting critical digital infrastructure has become increasingly urgent. This study investigates the competencies required for effectively teaching cybersecurity in federal universities in South-Eastern Nigeria from the perspectives of Computer Education lecturers and industrial experts. An explanatory sequential mixed-methods design w…
Bayesian structural equation modelling of associations between digital access and data literacy competencies in South African university students
This study examines the association between reliable internet access during high school and university students’ self-assessed skills in data analysis and visualisation, amidst the growing emphasis on data literacy in higher education. It also examines the mediating role of data analysis competence and the robustness of these associations across different statistical models. The research employed the Bayesian structural equation model to analyse …
Effectiveness of AI-based tutoring and assessment systems in mathematics education
Artificial intelligence (AI) is increasingly transforming mathematics education through adaptive tutoring systems, automated feedback, and AI-supported assessment tools. However, evidence regarding the effectiveness of these technologies remains dispersed across diverse contexts and study designs. This systematic review synthesised empirical research on the effectiveness of AI-based tutoring and assessment systems in mathematics education publish…
Bridging the gap between intention and enactment
Introduction The alignment between pre-service teachers’ instructional intentions and their actual classroom enactment remains a critical yet underexplored issue in STEM teacher education. In this study, STEM education is operationalised through science-led inquiry-based practical work that integrates scientific reasoning, mathematical thinking, and problem-solving practices characteristic of integrated STEM pedagogy. The study investigates the i…
Heterogeneous self-efficacy effects in mathematics pre-service teachers’ AI adoption
Introduction This study examines heterogeneity in the mediating role of self-efficacy between prior AI training and adoption intentions among pre-service mathematics teachers. Methods Using data from 79 pre-service teachers at the University of the Free State, South Africa, Bayesian moderated mediation analysis was employed to assess whether this pathway operates uniformly across demographic subgroups. Results Findings revealed pronounced heterog…
South African Mathematics Teachers’ Perspectives on Data-Driven Instructional Decision-Making
Mathematics achievement in South African schools continues to be limited by identifiable barriers to instructional improvement, including inadequate technological infrastructure, excessive teacher workloads, and inconsistent institutional support for professional learning. Although data-driven instruction is widely promoted, little is known about how psychological constructs such as instrumental attitudes, perceived control, social norms, and sel…
Computer Science (6 works) · Online Learning and Analytics (6 works) · Bayesian probability (5 works) · Machine learning (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Data science (3 works) · Innovative Teaching and Learning Methods (3 works) · Mathematics education (3 works) · Online and Blended Learning (3 works)