Conceptualizations of GenAI and students’ professionalization: Within the multi-layered environment of learning for higher education
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Anselm Böhmer, Marcella Dillig, Daniel-Cosmin Andronache, Olga Beshlei, Stephen Bolaji, Illie Isso, Yurii Kovaliuk, Jon Mason, Adriana Laza Medina, Mirona-Horiana Stănescu, Olena Yaroshenko
Record details
Published: 14 July 2026
Source: Computers and Education: Artificial Intelligence
Category: Research
Topics: Children & education · Environment
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.
Commenting with Copilot: A Taxonomy and Multi-Year Analysis of Student Code-Generation Specifications
arXiv cs.CY · 14 July 2026
Multi-Turn On-Policy Distillation with Prefix Replay
HuggingFace Daily Papers · 15 July 2026
Large Language Models in Architecture Studio: A Framework for Learning Outcomes
arXiv cs.CY · 21 July 2026
Reimagining the Augmented Reality Accessibility Ecosystem for Deaf Students: Service Provider Perspectives in Experiential Learning
arXiv cs.HC · 23 July 2026
Leveling the Playing Field: Temporal Video Segmentation for Individuals with ADHD in Computing Education
arXiv cs.HC · 27 July 2026
The Bartlett Centre for Advanced Spatial Analysis
UCL Centre for Data Ethics and Innovation · 29 July 2026
How to cite this record
ethics.ai (14 July 2026), “Conceptualizations of GenAI and students’ professionalization: Within the multi-layered environment of learning for higher education,” evidence record 2170, https://ethics.ai/record/2170 (originally published by Computers and Education: Artificial Intelligence).
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.