{"id":"W4411795242","doi":"10.1007/s11528-025-01112-x","title":"AI Meets Academia: Enhancing Statistics Education with ChatGPT in Undergraduate Courses","year":2025,"lang":"en","type":"article","venue":"TechTrends","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Educational technology; Mathematics education; Higher education; Statistics education; Computer science; Engineering ethics; Medical education; Psychology; Political science; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004939653,0.0008983304,0.0005476301,0.002070436,0.001345345,0.004719289,0.002812817,0.001333472,0.03527909],"category_scores_gemma":[0.03406703,0.0005231176,0.0004586518,0.001487274,0.0004161651,0.006026688,0.006635466,0.002475292,0.01491508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117793,"about_ca_system_score_gemma":0.004763598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236701,"about_ca_topic_score_gemma":0.004346404,"domain_scores_codex":[0.9963911,0.001729714,0.0001461253,0.0005222169,0.0007994481,0.0004113322],"domain_scores_gemma":[0.9562396,0.02183461,0.001857198,0.003504921,0.003060738,0.01350304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00125451,0.01042686,0.02109515,0.0006815682,0.00004414295,0.0006456769,0.005637387,0.003249999,0.009198017,0.004449727,0.08660268,0.8567142],"study_design_scores_gemma":[0.002482788,0.01260225,0.1196301,0.002065766,0.000452373,0.003259358,0.02233273,0.09891996,0.05014318,0.07684702,0.6105733,0.0006911671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5789679,0.000759106,0.1552132,0.01509095,0.001943129,0.001975296,0.002220008,0.06717099,0.1766596],"genre_scores_gemma":[0.7315056,0.0007017576,0.2022388,0.004211485,0.0009467265,0.001271507,0.003309222,0.002789009,0.05302592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03527909,"threshold_uncertainty_score":0.1180204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005124898696698565,"score_gpt":0.3061648894889882,"score_spread":0.3010399907922897,"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."}}