-
I am positive about using AI for instruction and learning.
In instruction, AI contributes to the broader mix of teaching methods. It can help teachers reflect on what to teach, explore innovative ways of teaching, and strengthen more traditional forms of instruction.
In learning, AI can help learners become more fluent and independent in what they need to master. It can provide repetitive practice with immediate feedback and ask reflective, deeper-level questions that strengthen and consolidate learning.
At the same time, I also see the risks: AI may be used by instructors who are insufficiently skilled in applying it effectively, which can waste time and resources for both teachers and learners.
-
I am positive about using AI for course development.
I am a strong supporter of the 4C/ID model developed by Jeroen van Merriënboer. AI can deliver impressive results when developing task materials for this model, particularly in the fields of law and taxation.
For example, I used Perplexity Pro and was impressed by both the support it provided in formulating effective prompts to produce tasks as well as by the produced tasks themselves.
-
Instructors and course developers in law and tax are still, to put it mildly, hesitant to use AI.
The more specialized the field, the more AI tends to be ignored. In my experience, highly specialized experts in law and taxation are often not the strongest instructors. The complexity of their field places a heavy cognitive burden on them, leaving little time to focus on developments in instructional design, let alone AI.
One possible way to strengthen their AI expertise for teaching is to encourage them to join professional learning communities where they can interact with peer instructors and fellow legal/tax specialists.
-
AI-enhanced professional learning communities: A New Era of Personalized Teacher Education
M. Arefian (2026)
This article discusses some ideas that may also be valuable when legal/tax specialists instructors participate in professional learning communities.