{"id":"W2603880765","doi":"","title":"TEACHING LARGE ONLINE CLASSES: HOW CAN PROFESSORS PROMOTE ACTIVE LEARNING WITHOUT EXHAUSTING THEMSELVES?","year":2014,"lang":"en","type":"article","venue":"","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Session (web analytics); Formative assessment; Pace; Class (philosophy); Active learning (machine learning); Workload; Selection (genetic algorithm); Mathematics education; Computer science; Online learning; Psychology; Multimedia; Medical education; World Wide Web; 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":[0.01024045,0.0006284275,0.0005908926,0.000405509,0.003214502,0.007596639,0.001958086,0.00440076,0.009210841],"category_scores_gemma":[0.0133976,0.0003391962,0.0006228461,0.0004080661,0.002145924,0.008837952,0.005148352,0.004700926,0.003645833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543837,"about_ca_system_score_gemma":0.002314268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003919456,"about_ca_topic_score_gemma":0.001333715,"domain_scores_codex":[0.9960282,0.002552806,0.00009837313,0.0003172702,0.0003839171,0.0006194652],"domain_scores_gemma":[0.9919335,0.003330495,0.0005292685,0.0002997397,0.0005365914,0.003370367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003320769,0.003444927,0.004786138,0.002301401,0.00005350087,0.0009955253,0.06346998,0.000531607,0.0103911,0.02807543,0.2335472,0.6520711],"study_design_scores_gemma":[0.0002109562,0.00178713,0.00610198,0.001074195,0.00005492835,0.0007895141,0.06499962,0.001131759,0.004705261,0.01952474,0.8994494,0.000170512],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1930428,0.01292299,0.05690298,0.5880716,0.01593008,0.003422943,0.0002241964,0.002170832,0.1273116],"genre_scores_gemma":[0.7825332,0.0124496,0.06058075,0.07389508,0.009266937,0.002526385,0.0001767569,0.0003219502,0.05824936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01024045,"threshold_uncertainty_score":0.05415732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980697234937399,"score_gpt":0.3527358073550083,"score_spread":0.3229288350056344,"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."}}