{"id":"W3008249056","doi":"","title":"Formative evaluation in the service of active learning","year":2019,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Formative assessment; Active learning (machine learning); Computer science; Artificial intelligence; Mathematics education; Psychology","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":[0.1241031,0.0009401619,0.0007691687,0.004073131,0.001801005,0.008115864,0.002906402,0.001411636,0.01084008],"category_scores_gemma":[0.2331976,0.0003030852,0.0004188719,0.003140032,0.001893992,0.005040314,0.003407357,0.00146434,0.001678664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00700488,"about_ca_system_score_gemma":0.01072983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005732796,"about_ca_topic_score_gemma":0.007721905,"domain_scores_codex":[0.8751495,0.100326,0.003058383,0.001793133,0.01815272,0.00152005],"domain_scores_gemma":[0.658911,0.227503,0.009595969,0.0161439,0.08083525,0.007010954],"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":[0.001714026,0.00168817,0.01265586,0.001033118,0.00008063146,0.00009810119,0.01174209,0.001569083,0.002097716,0.02430233,0.01473864,0.9282803],"study_design_scores_gemma":[0.003008213,0.02834942,0.1721217,0.009287973,0.0008646229,0.001427872,0.04673184,0.06841709,0.07771397,0.1349977,0.4562946,0.0007848837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.40528,0.007602625,0.3630764,0.0117513,0.002696903,0.009062283,0.001781743,0.002946967,0.1958017],"genre_scores_gemma":[0.837728,0.001524832,0.1189723,0.0008509785,0.000522088,0.004101443,0.0008574186,0.0002738316,0.03516911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1241031,"threshold_uncertainty_score":0.6563278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214773643652993,"score_gpt":0.307724342708377,"score_spread":0.2862469783430777,"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."}}