2026-10-14T03:52:32Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33718840 2026-09-14T05:38:09Z category_173 portal_316 item_type_3 month_year_09_2026

Supplementary file 1_Teacher-reviewed generative AI action-analysis materials for university dance training: action understanding, body awareness, feedback uptake, and revised performance.pdf Tianhang Qi (24868219) Applied Psychology action understanding dance education feedback adoption generative artificial intelligence higher education immediate body awareness mixed-effects model motor learning Introduction<p>University dance training requires beginners to translate demonstration, verbal correction, and bodily sensation into revised movement attempts. This study examined whether teacher-reviewed generative artificial intelligence (GenAI) action-analysis materials were associated with stronger action-unit learning than conventional teacher text cues in a university dance course.</p>Methods<p>A within-student crossover quasi-experimental design included 143 valid students and 827 valid action-unit records across six dance actions. Each student encountered both material conditions on different action units. The primary outcome was teacher-rated revised training quality after feedback, while process variables included action understanding, immediate body awareness, and feedback adoption. Two teachers independently scored each action-unit performance. Mixed-effects and repeated-measures ordinal models were used to account for repeated action-unit records.</p>Results<p>Teacher-reviewed GenAI action-analysis materials were associated with higher revised training quality than conventional teacher text cues (estimate = 5.09, 95% CI [4.14, 6.03]), higher action understanding (estimate = 1.97, 95% CI [1.62, 2.32]), and higher immediate body awareness (estimate = 0.36, 95% CI [0.28, 0.43]). A long-format phase-by-material sensitivity model also showed a larger initial-to-revised change under the GenAI condition (interaction = 1.68, 95% CI [1.01, 2.34]). In the process model, initial performance had the largest standardized coefficient, while action understanding, immediate body awareness, and feedback adoption remained positive predictors of revised training quality.</p>Discussion<p>Teacher-reviewed GenAI action-analysis materials were associated with stronger revised performance and more favorable learning-process indicators than conventional teacher text cues. The findings suggest that GenAI-supported action analysis may be useful when incorporated into teacher-mediated dance instruction, particularly as a structured aid for interpreting feedback and refining movement attempts.</p> 2026-09-14T05:38:09Z Dataset Dataset 10.3389/fpsyg.2026.1929537.s001 https://figshare.com/articles/dataset/Supplementary_file_1_Teacher-reviewed_generative_AI_action-analysis_materials_for_university_dance_training_action_understanding_body_awareness_feedback_uptake_and_revised_performance_pdf/33718840 CC BY 4.0