{"id":"W3196638781","doi":"10.1088/1361-6552/ac1c48","title":"Utilizing active learning to engage engineering students in a freshman physics service course taught in an EFL environment","year":2021,"lang":"en","type":"article","venue":"Physics Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics education; Memorization; Attendance; Class (philosophy); Comprehension; Active listening; Active learning (machine learning); Physics education; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203967,0.0001237559,0.0001509189,0.00005934787,0.000199892,0.0000822974,0.000218434,0.00004862534,0.00001823157],"category_scores_gemma":[0.0002255556,0.000165292,0.00002117114,0.0009532562,0.00001873829,0.0004444782,0.00008196339,0.0005269802,0.0000191012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000666081,"about_ca_system_score_gemma":0.0003617833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213342,"about_ca_topic_score_gemma":0.001042951,"domain_scores_codex":[0.9980294,0.0008371282,0.0001693941,0.0003095401,0.0003695349,0.000285041],"domain_scores_gemma":[0.9994038,0.0001677197,0.00008022591,0.0001804388,0.00009582369,0.00007194328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001352417,0.002232637,0.1372178,0.00004378968,0.00002381258,0.000004052651,0.6429919,0.02798718,0.05168116,0.02723361,0.00001786148,0.1105527],"study_design_scores_gemma":[0.0007049531,0.00006688693,0.6658249,0.0003871238,0.00003303464,4.126646e-7,0.2846345,0.005053948,0.02871708,0.008730713,0.004972667,0.0008737244],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935179,0.00001725139,0.004198853,0.0004152826,0.0003018774,0.0002607409,0.000001592283,0.00003409125,0.001252396],"genre_scores_gemma":[0.989169,0.000006583303,0.009978136,0.0002230047,0.0003915095,0.00007743426,0.00003297232,0.00002314385,0.00009821257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5286071,"threshold_uncertainty_score":0.6740411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.049620508677704,"score_gpt":0.4141624263409634,"score_spread":0.3645419176632594,"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."}}