Musa Adekunle Ayanwale
Biographic Data
| ID | 8347296 |
|---|---|
| NAME | Musa Adekunle Ayanwale |
| GIVEN NAMES | Musa Adekunle |
| FAMILY NAME | Ayanwale |
| SIGNATURE | AYANWALE M A |
| AFFILIATIONS | University of Johannesburg |
| ORCID | 0000-0001-7640-9898 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Mapping neural network research in education through bibliometric analysis
Neural networks are reshaping educational research and practice; yet evidence syntheses often treat them as part of a broader “AI in education” landscape, obscuring neural-network-specific trajectories, contributors, and themes. This study addresses that gap by providing a focused, methodologically transparent bibliometric mapping of neural network research in education. We analysed 704 Scopus-indexed journal articles published between 2010 and 2…
Decoding symmetric and asymmetric pathways in generative AI learning adoption
The rapid emergence of Generative Artificial Intelligence (Gen-AI), particularly ChatGPT, is transforming higher education. However, dominant technology adoption theories have largely been developed in high-resource contexts and primarily focus on cognitive evaluations of usefulness and ease of use. These theories offer limited explanations of how motivational design factors and contextual constraints shape sustained AI use in low-resource educat…
Digital governance and citizen trust in Nigeria’s public sector
Enhancing governance and performance in Nigerian higher education through AI-driven digital transformation
Digital transformation is critical for strengthening governance and improving performance in Nigeria's higher education institutions (HEIs). However, persistent gaps in digital skills, infrastructure, and policy implementation continue to hinder progress. This study investigates these challenges and examines how AI-enabled digital tools can enhance governance, institutional effectiveness, and sustainable education management (SEM). Using a qualit…
Electricity instability and digital governance performance
This study examines how electricity instability conditions digital governance performance in Nigeria through a political economy perspective, with particular emphasis on urban–rural inequalities, institutional effectiveness, and citizen trust. Drawing on qualitative data collected between September and November 2024 through semi-structured interviews with key stakeholders across federal, state, and local governance levels, the study identifies in…
Cultural and technological Synergy
Efforts to improve learners' achievement in Development Studies (DS) have been ongoing, yet the chief examiners' reports from 2018 to 2023 show no significant improvement. This persistent issue may be linked to the use of inappropriate pedagogical practices. There is a notable lack of research exploring the Culturo-Techno-Contextual Approach (CTCA) in Southern Africa; hence, we investigated how CTCA can enhance learners' achievement in DS classro…
Artificial intelligence meets PBL
In response to the growing demand for innovative instructional strategies in STEM education, we examine the effectiveness of AI-supported Problem-Based Learning (PBL) in improving students’ engagement, intrinsic motivation, and academic achievement. Traditional pedagogies often fail to sustain learner interest and problem-solving skills, particularly in computing disciplines, which informed our focus on integrating artificial intelligence into PB…
Determinants of Chatbot Brand Trust in the Adoption of Generative Artificial Intelligence in Higher Education
The use of generative artificial intelligence (GenAI) chatbots in brands is growing exponentially, and higher education institutions are not unaware of how such tools effectively shape the attitudes and behavioral intentions of students. These chatbots are able to synthesize an enormous amount of data input and can create contextually aware, human-like conversational content that is not limited to simple scripted responses. This study examines th…
Validating student AI competency self-efficacy (Saics) scale and its framework
Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional discussions, along with qualitative investigations. This two-stage study aims to propose an AI competenc…
Bridging culture and science
As science educators seek innovative methods to engage students, the Culturo-Techno-Contextual Approach (CTCA) has emerged as a promising strategy, particularly for African students. CTCA is a culturally responsive teaching method that integrates culture, technology, and locational context, making science more relatable and meaningful. We assessed CTCA’s effectiveness in enhancing critical thinking in biology among 121 senior secondary students i…
Pre-Service Teachers’ Perception of Programming Education
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile, pre-service teachers within the CS teacher preparation program should be prepared for the subject im…
Transforming classrooms
We investigate the influence of professional development and attitudes towards the teaching profession on teaching effectiveness among primary school teachers in Ekiti State, Nigeria. Despite the recognized importance of teacher professional development, limited research has examined its specific impact on teaching effectiveness in this context. We address this gap using a sequential explanatory mixed-method research design. Quantitative data wer…
Multidimensional item Response Theory Calibration of Dichotomous Response Structure Using R Language for Statistical Computing
The study focuses on assessing the proficiency levels of higher education students, specifically the physics achievement test (PHY 101) at the National Open University of Nigeria (NOUN). This test, like others, evaluates various aspects of knowledge and skills simultaneously. However, relying on traditional models for such tests can result in inaccurate interpretations of students’ abilities. The research highlights the importance of exploring th…
Modelling secondary school students' attitudes toward TVET subjects using social cognitive and planned behavior theories
Technical Vocational Education and Training (TVET) has been a part of most developing African countries, including Lesotho. Africa's collapsing economies will receive a true economic bailout if they produce readily employable and self-employed graduates. There are several factors that influence student attitudes toward TVET, including the perceived influence of their families, the impact of society, and the impact of their schools. This study aim…
Availability and Utilisation of E-Supervision of Instruction Facilities in the Post-Covid-19 Era
As a result of rapid globalisation, there have been some fundamental changes in education due to the rapid changes in knowledge, concepts, technology, and philosophy. COVID-19 has had devastating effects on the education sector. In Nigerian schools, supervisors, teachers, and students have always been required to interact face-to-face before this pandemic. This has led to using electronic facilities to carry out the instruction. Since supervision…
Ensuring Scalability of a Cognitive Multiple-Choice Test through the Mokken Package in R Programming Language
This study investigated the scalability of a cognitive multiple-choice test through the Mokken package in the R programming language for statistical computing. A 2019 mathematics West African Examinations Council (WAEC) instrument was used to gather data from randomly drawn K-12 participants (N = 2866; Male = 1232; Female = 1634; Mean age = 16.5 years) in Education District I, Lagos State, Nigeria. The results showed that the monotone homogeneity…
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Ensuring Scalability of a Cognitive Multiple-Choice Test through the Mokken Package in R Programming Language
This study investigated the scalability of a cognitive multiple-choice test through the Mokken package in the R programming language for statistical computing. A 2019 mathematics West African Examinations Council (WAEC) instrument was used to gather data from randomly drawn K-12 participants (N = 2866; Male = 1232; Female = 1634; Mean age = 16.5 years) in Education District I, Lagos State, Nigeria. The results showed that the monotone homogeneity…
Availability and Utilisation of E-Supervision of Instruction Facilities in the Post-Covid-19 Era
As a result of rapid globalisation, there have been some fundamental changes in education due to the rapid changes in knowledge, concepts, technology, and philosophy. COVID-19 has had devastating effects on the education sector. In Nigerian schools, supervisors, teachers, and students have always been required to interact face-to-face before this pandemic. This has led to using electronic facilities to carry out the instruction. Since supervision…
Modelling secondary school students' attitudes toward TVET subjects using social cognitive and planned behavior theories
Technical Vocational Education and Training (TVET) has been a part of most developing African countries, including Lesotho. Africa's collapsing economies will receive a true economic bailout if they produce readily employable and self-employed graduates. There are several factors that influence student attitudes toward TVET, including the perceived influence of their families, the impact of society, and the impact of their schools. This study aim…
Transforming classrooms
We investigate the influence of professional development and attitudes towards the teaching profession on teaching effectiveness among primary school teachers in Ekiti State, Nigeria. Despite the recognized importance of teacher professional development, limited research has examined its specific impact on teaching effectiveness in this context. We address this gap using a sequential explanatory mixed-method research design. Quantitative data wer…
Multidimensional item Response Theory Calibration of Dichotomous Response Structure Using R Language for Statistical Computing
The study focuses on assessing the proficiency levels of higher education students, specifically the physics achievement test (PHY 101) at the National Open University of Nigeria (NOUN). This test, like others, evaluates various aspects of knowledge and skills simultaneously. However, relying on traditional models for such tests can result in inaccurate interpretations of students’ abilities. The research highlights the importance of exploring th…
Cultural and technological Synergy
Efforts to improve learners' achievement in Development Studies (DS) have been ongoing, yet the chief examiners' reports from 2018 to 2023 show no significant improvement. This persistent issue may be linked to the use of inappropriate pedagogical practices. There is a notable lack of research exploring the Culturo-Techno-Contextual Approach (CTCA) in Southern Africa; hence, we investigated how CTCA can enhance learners' achievement in DS classro…
Artificial intelligence meets PBL
In response to the growing demand for innovative instructional strategies in STEM education, we examine the effectiveness of AI-supported Problem-Based Learning (PBL) in improving students’ engagement, intrinsic motivation, and academic achievement. Traditional pedagogies often fail to sustain learner interest and problem-solving skills, particularly in computing disciplines, which informed our focus on integrating artificial intelligence into PB…
Determinants of Chatbot Brand Trust in the Adoption of Generative Artificial Intelligence in Higher Education
The use of generative artificial intelligence (GenAI) chatbots in brands is growing exponentially, and higher education institutions are not unaware of how such tools effectively shape the attitudes and behavioral intentions of students. These chatbots are able to synthesize an enormous amount of data input and can create contextually aware, human-like conversational content that is not limited to simple scripted responses. This study examines th…
Validating student AI competency self-efficacy (Saics) scale and its framework
Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional discussions, along with qualitative investigations. This two-stage study aims to propose an AI competenc…
Bridging culture and science
As science educators seek innovative methods to engage students, the Culturo-Techno-Contextual Approach (CTCA) has emerged as a promising strategy, particularly for African students. CTCA is a culturally responsive teaching method that integrates culture, technology, and locational context, making science more relatable and meaningful. We assessed CTCA’s effectiveness in enhancing critical thinking in biology among 121 senior secondary students i…
Pre-Service Teachers’ Perception of Programming Education
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile, pre-service teachers within the CS teacher preparation program should be prepared for the subject im…
Mapping neural network research in education through bibliometric analysis
Neural networks are reshaping educational research and practice; yet evidence syntheses often treat them as part of a broader “AI in education” landscape, obscuring neural-network-specific trajectories, contributors, and themes. This study addresses that gap by providing a focused, methodologically transparent bibliometric mapping of neural network research in education. We analysed 704 Scopus-indexed journal articles published between 2010 and 2…
Decoding symmetric and asymmetric pathways in generative AI learning adoption
The rapid emergence of Generative Artificial Intelligence (Gen-AI), particularly ChatGPT, is transforming higher education. However, dominant technology adoption theories have largely been developed in high-resource contexts and primarily focus on cognitive evaluations of usefulness and ease of use. These theories offer limited explanations of how motivational design factors and contextual constraints shape sustained AI use in low-resource educat…
Digital governance and citizen trust in Nigeria’s public sector
Enhancing governance and performance in Nigerian higher education through AI-driven digital transformation
Digital transformation is critical for strengthening governance and improving performance in Nigeria's higher education institutions (HEIs). However, persistent gaps in digital skills, infrastructure, and policy implementation continue to hinder progress. This study investigates these challenges and examines how AI-enabled digital tools can enhance governance, institutional effectiveness, and sustainable education management (SEM). Using a qualit…
Electricity instability and digital governance performance
This study examines how electricity instability conditions digital governance performance in Nigeria through a political economy perspective, with particular emphasis on urban–rural inequalities, institutional effectiveness, and citizen trust. Drawing on qualitative data collected between September and November 2024 through semi-structured interviews with key stakeholders across federal, state, and local governance levels, the study identifies in…
Psychology (8 works) · Mathematics education (7 works) · Computer Science (6 works) · Cognition (4 works) · Corporate governance (4 works) · Higher education (4 works) · Medical education (4 works) · Medicine (4 works) · Pedagogy (4 works) · Digital transformation (3 works)