Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Designing a human-AI collaborative model for precision teaching in undergraduate physiology laboratory education: a modified Delphi study. |
| Συγγραφείς: |
Wu H; National Demonstration Center for Experimental Basic Medical Education, Nanjing Medical University, Nanjing, China., Liu Y; School of Humanities and Law, Hebei University of Technology, Tianjin, China., Cui M; National Demonstration Center for Experimental Basic Medical Education, Nanjing Medical University, Nanjing, China., Cao X; National Demonstration Center for Experimental Basic Medical Education, Nanjing Medical University, Nanjing, China., Yuan Y; National Demonstration Center for Experimental Basic Medical Education, Nanjing Medical University, Nanjing, China. |
| Πηγή: |
Advances in physiology education [Adv Physiol Educ] 2026 Sep 01; Vol. 50 (3), pp. 679-690. Date of Electronic Publication: 2026 May 08. |
| Τύπος έκδοσης: |
Journal Article |
| Γλώσσα: |
English |
| Στοιχεία περιοδικού: |
Publisher: American Physiological Society Country of Publication: United States NLM ID: 100913944 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-1229 (Electronic) Linking ISSN: 10434046 NLM ISO Abbreviation: Adv Physiol Educ Subsets: MEDLINE |
| Imprint Name(s): |
Original Publication: Bethesda, MD : American Physiological Society, c1989- |
| Ιατρικοί όροι (MeSH): |
Physiology*/education , Delphi Technique* , Artificial Intelligence* , Teaching* , Cooperative Behavior* , Models, Educational*, Humans |
| Περίληψη: |
Artificial intelligence (AI) offers new possibilities for enhancing precision in undergraduate physiology laboratory education. However, ethical, pedagogical, and technical challenges remain in designing human-AI collaborative models. This study aimed to develop and validate a precision teaching framework grounded in expert consensus. The model consists of four core modules: precision learning analysis, precision teaching objective setting, precision teaching implementation and organization, and precision teaching evaluation and feedback. With a modified Delphi method, consensus on the scientific validity and feasibility of the model was reached through two rounds of consultations with 15 interdisciplinary experts. Results indicate that the theoretical framework received high recognition from experts, who also reached unified consensus on key practical pathways, including phased technological implementation, strengthening teacher leadership and ethical safeguards, development of a knowledge graph, and targeted teacher training. This study presents a theoretically sound and ethically grounded human-AI collaborative model for undergraduate physiology laboratory teaching. It offers a practical roadmap for institutions seeking to integrate AI while preserving teacher agency, pedagogical integrity, and equitable student support.NEW & NOTEWORTHY This study develops a human-AI collaborative precision teaching framework for undergraduate physiology labs with a four-module model. Through a two-round modified Delphi study with 15 experts, the study established consensus on scientific validity, feasibility, phased AI implementation, teacher leadership, ethical safeguards, knowledge graphs, and targeted training. The framework offers a practical, ethically grounded roadmap integrating AI while preserving teacher agency, pedagogical integrity, and equitable student support. |
| Grant Information: |
2024SJYB0230 2024 General Project of Philosophy and Social Sciences Research in Jiangsu Universities; 2025JGZZ38 2025 Jiangsu Higher Education Teaching Reform Research Project |
| Contributed Indexing: |
Keywords: artificial intelligence; human-AI collaboration; laboratory teaching; physiology education; precision teaching |
| Entry Date(s): |
Date Created: 20260508 Date Completed: 20260716 Latest Revision: 20260716 |
| Update Code: |
20260716 |
| DOI: |
10.1152/advan.00026.2026 |
| PMID: |
42102392 |
| Βάση Δεδομένων: |
MEDLINE |