{"id":"W1980339299","doi":"10.2304/plat.2011.10.1.32","title":"Incorporating Active Learning Techniques in an Introduction to Psychology Course","year":2011,"lang":"en","type":"article","venue":"Psychology Learning & Teaching","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Section (typography); Active learning (machine learning); Mathematics education; Course (navigation); Psychology; Computer science; Engineering; Artificial intelligence","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":[0.00371309,0.0005546223,0.0007443737,0.0007572474,0.0003897148,0.001376382,0.001051772,0.0006369138,0.001719525],"category_scores_gemma":[0.01144255,0.0003963949,0.0005770626,0.000555468,0.00029711,0.0008870617,0.00130172,0.0009140508,0.000401429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569527,"about_ca_system_score_gemma":0.0009871394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003311763,"about_ca_topic_score_gemma":0.00100761,"domain_scores_codex":[0.9980192,0.0004523317,0.0001844166,0.0004106688,0.0006927836,0.0002406186],"domain_scores_gemma":[0.9879918,0.006147528,0.001891022,0.001352305,0.000999857,0.001617572],"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":[0.004927961,0.06176766,0.09255438,0.001172759,0.0004016623,0.000501453,0.005640696,0.002443767,0.06895519,0.0004274969,0.001131653,0.7600753],"study_design_scores_gemma":[0.001851168,0.1665354,0.7593728,0.000369134,0.000774463,0.001250867,0.002228814,0.003471159,0.04687699,0.000979137,0.01610372,0.0001862877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9973955,0.0001759674,0.001394666,0.00004466873,0.00003288982,0.0001778816,0.00002005348,0.00004062707,0.0007177145],"genre_scores_gemma":[0.976445,0.000403858,0.01926902,0.0001727264,0.00009710254,0.0003521437,0.0001613851,0.00001373833,0.003084952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00371309,"threshold_uncertainty_score":0.01963693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08590962958737045,"score_gpt":0.4742979776127039,"score_spread":0.3883883480253335,"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."}}