Dr Musa Adekunle Ayanwale

Overview

Musa Adekunle Ayanwale is a Senior Postdoctoral Research Fellow at the Department of Mathematics, Science and Technology Education, University of Johannesburg, South Africa. He holds a PhD in Educational Research, Measurement, and Evaluation, which positions him as an expert in assessment and psychometrics. His research interests encompass testing theories, instrument development and validation, psychometrics, generalizability theory-based reliability analyses, Q-methodology, structural modelling, computerised adaptive testing, and computational and network psychometrics. He also applies machine learning methods (supervised and unsupervised learning) and explores the use of artificial intelligence in education, particularly in assessment innovation, predictive analytics, and adaptive learning systems. His current work focuses on advancing technological solutions for educational assessment to make evaluation in Africa more effective and efficient. Dr. Ayanwale has received notable recognition for his scholarship. He holds a C2 NRF rating, confirming his status as an established researcher making significant contributions to his field. In 2025, he was honoured among the 82 University of Johannesburg researchers named in the World’s Top 2% Scientists list, compiled by Stanford University in collaboration with Elsevier. He is a prolific scholar and highly skilled data analyst in both quantitative and qualitative methodologies, with publications in leading local and international journals. He also plays key roles in academic publishing and leadership: Managing Editor of the Journal of Computer Adaptive Testing in Africa, Associate Editor of PLOS ONE, Associate Editor of Frontiers in Education (Measurement and Assessment section), Academic Editor of Discover Education (Springer Nature), and Associate Editor of the African Journal of Behavioural and Scale Development Research. In addition, he is the Co-founder of the Association of Computer Adaptive Testing in Africa and serves as a peer reviewer for multiple international journals. He is also a member of numerous learned societies, including the Psychometric Society, Association of Behavioural Research Analysts and Psychometricians, Educational Assessment and Research Network in Africa, Teacher Registration Council of Nigeria, Association for the Assessment of Learning in Higher Education, Association of Educational Researchers and Evaluators of Nigeria, and the International Association for Computerised Adaptive Testing. Dr Ayanwale’s professional journey reflects a strong commitment to advancing psychometrics, machine learning applications, and AI-enhanced educational practices to transform the science of measurement and assessment in Africa and beyond.