Overview
Research by Biji Tharakan Thomas & Aiswarya Tharabhai. Based on educational technology analysis and pedagogical philosophy. Produced with human-machine collaboration where humans did the major role.
AI is not creating new problems in education — it is making the existing problems impossible to ignore.
AI is not creating new problems in education.
It is making the existing problems impossible to ignore.
Exposing Rote Learning
If a chatbot can generate the assignment, the assignment was never measuring learning — it was measuring recall and formatting. AI surfaces a problem that always existed.
The question is not how to stop students using AI. The question is: what should learning measure now that AI exists?
Amplifying Inequality
Students with access to better AI tools, better prompts, and better tutoring widen the gap. Education systems built on equal access to information now face unequal access to intelligence.
Questioning Assessment
Take-home essays, project work, and many traditional assessments lose meaning when AI can produce them in minutes. We need new ways to evaluate human thinking, not just human output.
Redefining Teacher Value
Teachers are no longer the gatekeepers of information. The new value is coaching judgment, modelling critical thinking, and shaping character — the human work AI cannot do.
Pedagogical Implications
What this means for schools, educators, and policy:
Who Should Read This
This research is for everyone shaping how the next generation learns: School Leadership, Educators & Teachers, Education Policymakers, and Parents & Guardians.
AI is not the threat. The threat is using AI as an excuse to avoid the conversations education has avoided for decades. The institutions that lean into this moment will produce graduates the world actually needs.