{"id":"W3110063457","doi":"10.3390/app10228196","title":"Development of Adaptive Formative Assessment System Using Computerized Adaptive Testing and Dynamic Bayesian Networks","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Formative assessment; Computer science; Personalized learning; Computerized adaptive testing; Adaptive learning; Artificial intelligence; Learning analytics; Online assessment; Machine learning; Reliability (semiconductor); Teaching method; Psychology; Mathematics education; Psychometrics","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":[0.005379396,0.0007120263,0.000584165,0.002019762,0.0004004099,0.001129417,0.001333031,0.0007474661,0.002166992],"category_scores_gemma":[0.0148386,0.0003227745,0.0005213261,0.0009644768,0.0003967216,0.001964265,0.0008675804,0.00075647,0.0007010414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007516261,"about_ca_system_score_gemma":0.001289656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003353221,"about_ca_topic_score_gemma":0.002196908,"domain_scores_codex":[0.9961295,0.001637493,0.0003371448,0.0005517486,0.001247643,0.00009641732],"domain_scores_gemma":[0.9930112,0.003351897,0.0004931555,0.0005770429,0.002368237,0.0001985015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006335512,0.0007363733,0.02792995,0.0002726364,0.0001707986,0.0002248868,0.0006021319,0.03292172,0.02425903,0.004806304,0.003738304,0.9037043],"study_design_scores_gemma":[0.0002204005,0.0007707986,0.02409253,0.0001111756,0.0002432832,0.0006988233,0.0002480542,0.9159561,0.03930379,0.006894137,0.01129648,0.000164467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05999215,0.0001403413,0.9305037,0.0002165358,0.00005622804,0.0008788545,0.0002063426,0.005329409,0.002676376],"genre_scores_gemma":[0.3962765,0.0001708396,0.6001589,0.000115714,0.00004022073,0.001029173,0.0005026482,0.0001219955,0.001584063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005379396,"threshold_uncertainty_score":0.0284493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04777870028958599,"score_gpt":0.2839728680549296,"score_spread":0.2361941677653436,"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."}}