A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration
The rapid development of GenAI technologies is transforming learning, assessment, and academic production in higher education. Despite increasing student adoption, many institutions lack operational mechanisms to systematically align regulations and curricula with evolving generative artificial intelligence practices, creating regulatory ambiguity and academic integrity risks. This study investigates how students utilize generative artificial intelligence tools in computer science-oriented disci
Record details
Published: 23 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Children & education · Finance, VC & PE
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
arXiv · 14 April 2026
Enabling and Inhibitory Pathways of Students' AI Use Concealment Intention in Higher Education: Evidence from SEM and fsQCA
arXiv · 13 April 2026
Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
arXiv · 10 May 2026
Knowing the Rules Is Not Enough: Student Regulatory Awareness and Use of GenAI in Higher Education
arXiv · 16 May 2026
How unique are hallucinated citations offered by generative Artificial Intelligence models?
arXiv · 31 March 2026
Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
arXiv · 9 March 2026
How to cite this record
ethics.ai (23 April 2026), “A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration,” evidence record 5432, https://ethics.ai/record/5432 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.