Vol. 9 No. 1 (2026): Journal of Applied Learning & Teaching
About
About the Journal
Editorial Team
Submissions
Contact
Current
Archives
News
Register
Login
Register
Login
https://doi.org/10.37074/jalt.2026.9.1
Journal of Applied Learning & Teaching
Vol. 9 No. 1 (2026)
Published Jan 21, 2026
Editorial
Dr Fiona Xiaofei Tang, Dr Jürgen Rudolph, Professor Tania Aspland, Vanessa Stafford, Dr Stewart Alford
5-10
Desk review explained: Editorial judgement, fit, and publishing
PDF
Commentary
Ahmed Tlili, Robert Farrow, Aras Bozkurt, Tel Amiel, David Wiley, Stephen Downes
11-19
The double-edged sword: Open educational resources in the era of Generative Artificial Intelligence
PDF
Interview Section
Professor Timothy Mitchison, Yulu Hou
20-30
When AI Joins the Lab: Reflections on ChatGPT in Research and Graduate Education. An Interview with Professor Timothy Mitchison.
PDF
Research Articles
Yanhong Zuo, Xiatinghan Xu, Leigh Ann Dunning
31-50
“Will AI steal my glory?”: Power relations perceived by college instructors when grappling with Generative AI
PDF
Associate Professor Kathie Ardzejewska, Professor Lauren Stephenson
51-67
Leading a curriculum design of care through courage in knowledge and action
PDF
Pourya Javahery, Muhammet Furkan Alpat, Jaber Kamali
68-87
#LearnEnglish: Social media, language learning, and the need for critical digital literacy
PDF
Elham Manzari, Michael J. Henderson, Lynette Pretorius
88-109
Affordances and constraints of synchronous and asynchronous computer-mediated collaborative writing formats in doctoral writing groups: A comparative literature review
PDF
Dyane Smith, Associate Professor Sanjeev Naguleswaran
110-133
Modelling optimal learning pathways: A Markov Decision Process approach to the pedagogy–heutagogy continuum
PDF
Opinion pieces
Dr Sam Choon-Yin
134-150
AI literacy in an uncertain world
PDF
Elena Tran
151-168
Well-being in crisis: Mindful practices for Canadian higher education instructors
PDF
Professor Junhong Xiao, Associate Professor David CL Lim
169-186
Is AI the solution to the problems that make higher education “ill” in the first place? Towards a technology-agnostic, future-proof approach
PDF
Book Reviews
Dr Fiona Xiaofei Tang
187-190
Book review of Catherine J. Denial (2024). A pedagogy of kindness. University of Oklahoma Press, Norman.
PDF
Shannon Tan
191-194
Book Review of Jasper Roe (2025). How to use Generative AI in educational research. Cambridge Elements. Research Methods in Education.
PDF
Preman Chandranathan
195-198
Book Review of S. Popenici, J. Rudolph, F. Ismail, & S. Tan (Eds., 2026). The Handbook of Artificial Intelligence in Higher Education. Edward Elgar.
PDF
Ali Mikaeili
199-207
Book Review of Sabbaghan, Soroush (Ed., 2025). Navigating Generative AI in Higher Education: Ethical, Theoretical and Practical Perspectives. Edward Elgar Publishing.
PDF
Dr John Francis Hulpke
208-213
Book Review of Max S. Bennett (2024). A Brief History of Intelligence: Why the Evolution of the Brain Holds the Key to the Future of AI. William Collins.
PDF
×
Username (lower-case alphanumeric characters)
*
Required
Password
*
Required
Forgot your password?
Keep me logged in
Login
No account?
Register here