The Efficiency Trap: Fragmented Curricula and AI-Driven Surface Learning in Higher EducationThe rapid integration of artificial intelligence (AI) into higher education has generated widespread institutional anxiety, largely addressed through technological surveillance and punitive anti-cheating frameworks.
- doi
- 10.1145/3800935.3830885
- isbn
- 979-8-4007-2564-7
- name
- The Efficiency Trap: Fragmented Curricula and AI-Driven Surface Learning in Higher Education
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830885
- authors
- Małgorzata Rataj, Iryna Berezovska
- doi_url
- https://doi.org/10.1145/3800935.3830885
- license
- CC BY 4.0
- summary
- The rapid integration of artificial intelligence (AI) into higher education has generated widespread institutional anxiety, largely addressed through technological surveillance and punitive anti-cheating frameworks.
- keywords
- Generative AI in education; academic rhythm; surface learning; quasi-productivity; Learning Management Systems (LMS); pedagogical heritage; dialogic mentorship; intellectual autonomy
- published
- 2026-09-14
- conference
- HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
- acm_html_url
- https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830885
- ccs_concepts
- CCS Concepts: • Human-centered computing → HCI theory, concepts and models ; • Human-centered computing → HCI design and evaluation methods ;
- displayAuthor
- Małgorzata Rataj, Iryna Berezovska
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Małgorzata Rataj and Iryna Berezovska. 2026. The Efficiency Trap: Fragmented Curricula and AI-Driven Surface Learning in Higher Education. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 4 Pages. https://doi.org/10.1145/3800935.3830885
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