Segun Michael Ojetunde | Science and Technology Education | Outstanding Scientist Award

Dr. Segun Michael Ojetunde | Science and Technology Education | Outstanding Scientist Award

University of Johannesburg | South Africa

Dr. Segun Michael Ojetunde is a distinguished researcher and educator specializing in educational evaluation, quantitative and qualitative research, and data analytics. He holds a Ph.D. in Educational Evaluation from the University of Ibadan and has contributed significantly to human capital development, assessment studies, and educational technology. Currently serving as a Research Associate at the Nigerian Institute of Social and Economic Research, his work spans collaborations with institutions such as the University of Johannesburg, Universal Basic Education Commission, and the International Fund for Agricultural Development. Dr. Ojetunde’s research engagements include national evaluations, teacher training assessments, and large-scale education quality studies. His scholarly publications encompass book chapters and conference proceedings focusing on assessment tools, teacher competence, and students’ academic achievement. An active member of several professional associations, he also serves as a reviewer for the African Journal of Research in Mathematics, Science and Technology Education (AJRMSTE). Demonstrating strong analytical expertise, he is proficient in advanced statistical and modeling tools such as SPSS, SEM, R, Python, and Power BI. According to Google Scholar, Dr. Ojetunde has an h-index of 4, 12 documents, and 49 citations, reflecting his growing academic influence and impactful research contributions in education and evaluation studies.

Profile: Google Scholar 

Featured Publications 

Akinyemi, A. L., & Ojetunde, S. M. (2020). Techno-pedagogical models and influence of adoption of remote learning platforms on classical variables of education inequality during COVID-19 pandemic in Africa. Journal of Positive Psychology and Counselling, 7(1), 12–27.

Akinyemi, A., & Ojetunde, S. M. (2019). Comparative analysis of networking and e-readiness of some African and developed countries. Journal of Emerging Trends in Educational Research and Policy Studies, 10(2), [page numbers not provided].

Ramnarain, N., Ogegbo, A. A., Penn, M., Ojetunde, S. M., & Nuthando, U. (2024). Pre-service science teachers’ intention to use generative artificial intelligence in inquiry-based teaching. Journal of Science Education and Technology, 376–385.

Ojetunde, U., & Ramnarain, S. M. (2023). Applying 4IRs in education technology to science pedagogy: Effects and students’ experience. Journal of Smart Learning Environment, 10(32), 1–18.

Ojetunde, S., Ademidun, A., & Sangodoyin, T. (2020). Online learning platforms’ induced education inequalities and special education students’ learning attitude during COVID-19 pandemic homestay in the University of Ibadan. Online Learning, 12(23), 61–67.

Mr. Muhammad Afzaal – Artificial intelligence in Education – Best Researcher Award

Professional Profiles

SCOPUS 

Early Academic Pursuits 

Muhammad Afzaal's academic journey began in Islamabad, Pakistan, where he earned a Master's degree in Computer Science from SZABIST in 2018. His master's thesis focused on developing a recommendation system for tourists based on their opinions and behaviors, showcasing his early interest in machine learning and AI applications. In 2024, he completed his Ph.D. at Stockholm University, Sweden, specializing in Explainable AI in Education. His doctoral research aimed to develop and evaluate AI-based self-regulated learning tools, underscoring his commitment to enhancing educational technologies.

Professional Endeavors 

Muhammad's professional career is marked by significant contributions to both academia and industry. From September 2019 to March 2024, he served as a Ph.D. candidate and researcher at Stockholm University, focusing on Explainable AI in education. He also taught and supervised students, covering advanced topics such as NoSQL, Big Data Analytics, and Parallel Programming. Between January 2020 and October 2021, he worked on developing machine learning-based prototypes for school education, including auto-grading exams and analyzing teachers' lecture behaviors. Additionally, Muhammad has held the position of Machine Learning Researcher at EDAIDER, where he conducted research part-time.

Contributions and Research Focus 

Muhammad’s research interests span a wide range of AI and machine learning domains, including Explainable AI, Learning Analytics, Natural Language Processing, and Computer Vision. His work focuses on leveraging these technologies to improve educational outcomes. He has developed prototypes for auto-grading and lecture analysis, and his Ph.D. research included creating personalized learning tools. Muhammad’s selected publications reflect his contributions, Artificial intelligence in Education with journal and conference papers on topics like technology-enhanced learning and systematic reviews of learning analytics.

Accolades and Recognition 

Throughout his career, Muhammad has received numerous accolades for his research contributions. His publications in prominent journals such as "Technology, Knowledge and Learning" and "Frontiers in Artificial Intelligence" have established him as a respected voice in the field. His work has been recognized for its Artificial intelligence in Education innovative approach to integrating AI in education, particularly in developing explainable AI systems that support student self-regulation and personalized learning.

Impact and Influence 

Muhammad's work has had a significant impact on the academic and research community. As the Chair of the PhD Council at Stockholm University from December 2020 to December 2021, he played a pivotal role in advocating for the interests and rights of PhD students, contributing to a better work environment and overall well-being. His research has also influenced the development of AI-based educational tools, Artificial intelligence in Education which are used to enhance learning experiences and outcomes for students.

Legacy and Future Contributions 

Muhammad Afzaal's legacy is built on his dedication to advancing AI technologies in education. His work on explainable AI and learning analytics has paved the way for more transparent and effective educational tools. As he continues his career, Muhammad aims to push the boundaries of AI research further, developing innovative solutions that support personalized learning and improve educational practices. His future contributions are expected to drive impactful research projects and result in groundbreaking findings, inspiring future generations of researchers and educators.

NOTABLE PUBLICATIONS