{"id":"W4381433776","doi":"10.5430/ijhe.v12n3p97","title":"Using Active Learning to Develop the Problem- Solving Ability of Chinese College Students Majoring in Physical Education","year":2023,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ningbo University","keywords":"Mathematics education; Class (philosophy); Physical education; Psychology; Medical education; Teaching method; Active learning (machine learning); Experimental research; Medicine; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004303259,0.0004691956,0.0003950361,0.0003764864,0.0003504045,0.0003202848,0.0004154253,0.0002622931,0.0016391],"category_scores_gemma":[0.0009191788,0.00015101,0.0003583285,0.0001696442,0.0002172025,0.0003009019,0.0004127696,0.0003629174,0.0001601025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150529,"about_ca_system_score_gemma":0.001202328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788403,"about_ca_topic_score_gemma":0.002938141,"domain_scores_codex":[0.9997835,0.0000405441,0.00001931774,0.00005414112,0.00004757744,0.00005505091],"domain_scores_gemma":[0.9996536,0.00007514017,0.00006578458,0.00002929006,0.0000406301,0.0001356272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002712722,0.1533451,0.09535681,0.002103452,0.0002464405,0.0004415905,0.008995282,0.0008512833,0.1137935,0.0006320126,0.001166164,0.6203558],"study_design_scores_gemma":[0.002879182,0.08486727,0.866011,0.0003378596,0.0005477461,0.0005466486,0.003616862,0.002661926,0.02908886,0.001083793,0.008281983,0.0000769442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990126,0.000113709,0.0002393719,0.00003942116,0.000008611315,0.0001559035,0.000008323131,0.000004842585,0.0004171529],"genre_scores_gemma":[0.9925438,0.0006061199,0.00451882,0.00007885058,0.00002201591,0.000316211,0.00007542813,0.000002411107,0.001836346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001788403,"threshold_uncertainty_score":0.005483329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311056089487909,"score_gpt":0.4152608498329813,"score_spread":0.3841552408841905,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}