Daniel, Dr. Ben

B.Sc (University of Juba); MSc (University of Twente); M.Phil.ED ( University of Oslo); PhD (University of Saskatchewan)

Director, CTLT
Phone
Office
TAL 3050
Campus
Prince George

Biography

Dr. Ben Kei Daniel is Professor specialising in Artificial Intelligence in Education (AIED), Research Methodologies, and Educational Technology.

Dr Daniel oversees CTLT's operational and strategic directions. Before joining ÂÜÀòÉäÇø, Dr Daniel spent 11 years as an academic/faculty developer, Full Professor and Head (Chair) of the Department of Higher Education Development Centre at the University of Otago, New Zealand.

Professional Memberships and Recognitions:

  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Association for Computing Machinery (ACM)
  • International Society for Artificial Intelligence in Education (IAIED)
  • New Zealand Council for Educational Research (NZCER)
  • National Centre for Research Methods (NCRM)—Pedagogy Network, UK

Research and Expertise

  • Artificial Intelligence in Education (AIED)
  • Big Data in Education
  • Learning Analytics
  • Data Science in Education
  • Educational Technology
  • Computer Science Education
  • Digital Transformation in Higher Education
  • Green Artificial Intelligence (GreenAI)
  • Pedagogy of Research Methodologies
  • Patient Research and methods
Research Fields
  • Computer Science
  • Education
  • Health
  • Information Studies
  • Integrated Knowledge Translation
Areas of Expertise
Artificial Intelligence in Education, Research Methodologies (Quantitative, Qualitative and Mixed Methods), Health and Patient Research, Scholarship of Teaching and Learning (SoTL).
Languages Spoken
  • English
  • Arabic
Currently accepting graduate students
Supervises In
MSc Health Sciences, PhD Health Sciences, MSc Computer Science, MEd Education, MA Interdisciplinary Studies, MSc Interdisciplinary Studies
Graduate Supervisor Details
Professional Memberships and Recognitions: Senior Member, Institute of Electrical and Electronics Engineers (IEEE), Association for Computing Machinery (ACM), International Society for Artificial Intelligence in Education (IAIED), Council of Australasian University Leaders in Learning and Teaching (CAULLT), New Zealand Council for Educational Research (NZCER), National Centre for Research Methods (NCRM)—Pedagogy Network, UK
Available to be contacted by the media as a subject matter expert

Selected Publications

Books

Daniel, BK. & Bisaso, R. (Ed) (2023). Higher Education in Sub-Saharan Africa in the 21st Century—Pedagogy, Research and Community-Engagement. Singapore: Springer

Daniel, B. K., & Harland, T. (2018). Higher Education Research Methodology: A Step-by-Step Guide to the Research Process. London: Routledge, 140 pages.

Daniel, B. K. (Ed.). (2017). Big Data and Learning Analytics in Higher Education: Current Theory and Practice. Springer. New York: Springer (ISBN 9783319065205, pp. 272).

Journal Articles

Liu, Q, Hu, A. & Daniel, BK. (forthcoming). Online Assessment in Higher Education: A Mapping Review and Narrative Synthesis. Research and Practice in Technology Enhanced Learning (RPTEL) Journal.

Daniel, B.K., Asil, M., & Carr, S. (2024). Psychometric Properties of the TACT Framework-Determining Rigour in Qualitative Research. Frontiers in Research Metrics and Analytics, 8, 1276446.

Mohammed, H., Daniel, B. K., & Farella, M. (2024). Smile analysis in dentistry and orthodontics–a review. Journal of the Royal Society of New Zealand, 1-14.

Stojanov, A., & Daniel, B. K. (2023). A decade of research into the application of big data and analytics in higher education: A systematic review of the literature. Education and Information Technologies, 1-25.

Varadarajan, S., Koh, J. H. L., & Daniel, B. K. (2023). A systematic review of the opportunities and challenges of micro-credentials for multiple stakeholders: learners, employers, higher education institutions and government. International Journal of Educational Technology in Higher Education, 20(1), 13.

Koh, J.HL. Daniel, B.K. & Angela C. Greenman, A.C. (2023): Online teaching dexterity-implications for post-pandemic higher education online teaching competencies. Innovations in Education and Teaching International, DOI: 10.1080/14703297.2023.2297022

Demmans Epp, C., Daniel, B., & Muldner, K (2023). Preface for the Special Issue on Data-informed Adaptation of Learning. In Frontiers in Education (Vol. 8, p. 1240377). Frontiers.

Friedlander, L., Hunt, G., Chandler, N., & Daniel, B. (2023). Students' experience and perceptions of undergraduate endodontic education in New Zealand. Australian Endodontic Journal. Advance online publication. doi: 10.1111/aej.12770

Koh, J. H. L., Daniel, B. K., & Greenman, A. C. (2023). Adaptiveness for Online Learning: Conceptualising ‘Online Learning Dexterity’from Higher Education Students’ Experiences. New Zealand Journal of Educational Studies, 1-19. Available:

Wafaie, K., Rizk, M. Z., Basyouni, M. E., Daniel, B., & Mohammed, H. (2023). Tele-orthodontics and sensor-based technologies: a systematic review of interventions that monitor and improve compliance of orthodontic patients. European Journal of Orthodontics, cjad004.

Varadarajan, S., Koh, J. H. L., & Daniel, B. K. (2023). A systematic review of the opportunities and challenges of micro-credentials for multiple stakeholders: Learners, employers, higher education institutions and government. International Journal of Educational Technology in Higher Education, 20, 13. doi: 10.1186/s41239-023-00381-x

Park, J. S., Daniel, B. K., Wong, P. Y., Abbott, P. V., & Ngo, H. C. (2023). Dental students' knowledge of and attitudes towards prescribing medication in Western Australia. European Journal of Dental Education, 27, 287-295. doi: 10.1111/eje.12802

Corre, P. H. C., Alexander, A., Daniel, B., & Wibowo, E. (2022). Job Prospects and Career Pathways for Human Anatomy Graduates from the University of Otago: Implications for Student Support and Professional Development. Anatomical Sciences Education. Retrieved from

Daniel, B. K. (2022). Common Challenges Postgraduate Students and Early-Career Academics face when Engaging with Scholarly Literature. The Electronic Journal of Business Research Methods, 20(3), pp. 142-15.