2026-10-07T07:20:04Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33993100 2026-09-25T05:32:19Z category_343 portal_316 item_type_3 month_year_09_2026

Data Sheet 1_Feasibility of a teacher-supervised ChatGPT-assisted workflow for individualized exercise planning in university physical education: a two-phase study using a fuzzy Delphi process and a cluster pilot trial.docx Ruiqing Dong (22443273) Ying Liang (13730) Jianbo Sun (1597285) Fang Chen (34476) Qingzhen Hou (2742370) Xiaoqi Wang (164823) Yuanyan Huang (13789495) Wenjing Zhang (246857) Sports Medicine artificial intelligence ChatGPT exercise prescription feasibility study individualized instruction physical education pilot trial university students Background<p>University physical education can promote physical activity and fitness, but individualized instruction is difficult to implement in routine classes. This study developed a structured input framework for ChatGPT-assisted individualized fitness teaching and evaluated its feasibility, safety, acceptability, and preliminary effects.</p>Methods<p>This two-phase study involved non-sports-major university students. Phase I used a two-round fuzzy Delphi process to develop the framework. Phase II was a 6-week cluster pilot trial involving two intact classes allocated by coin toss to either AI-assisted instruction (n = 30) or conventional instruction (n = 30). The AI group received teacher-supervised, AI-generated fitness plans. Primary outcomes included feasibility, safety, implementation, and acceptability.</p>Results<p>The final framework comprised 49 items, with 96.4% achieving a consensus rate ≥75%. Follow-up completion rates were 96.7% and 93.3% in the AI and control groups, respectively. Attendance, completion rate, and perceived exertion were similar between groups. Time in the target heart-rate zone was higher in the AI group (33.95 ± 4.33 vs. 32.60 ± 3.74 min, P = 0.033), as was perceived personalization (4.0 ± 0.7 vs. 3.2 ± 1.0, P = 0.001). No serious adverse events occurred, and most physical and functional outcomes did not differ significantly between groups.</p>Conclusions<p>ChatGPT-assisted individualized fitness instruction was feasible, safe, and acceptable within a structured teacher-supervised workflow, with its primary short-term benefit being improved perceived personalization.</p><p>Clinical Trial Registration: Chinese Clinical Trial Registry ChiCTR2500107730.</p> 2026-09-25T05:32:19Z Dataset Dataset 10.3389/fspor.2026.1896856.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Feasibility_of_a_teacher-supervised_ChatGPT-assisted_workflow_for_individualized_exercise_planning_in_university_physical_education_a_two-phase_study_using_a_fuzzy_Delphi_process_and_a_cluster_pilot_trial_docx/33993100 CC BY 4.0