{"id":"W4399860875","doi":"10.1145/3660650.3660659","title":"Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education","year":2024,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universitas Brawijaya","keywords":"Computer science; Bridging (networking); Adaptive learning; 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":[0.04661688,0.0008738859,0.0006973968,0.001306972,0.000937041,0.003377206,0.002956047,0.001749861,0.006751996],"category_scores_gemma":[0.126597,0.0006720921,0.000721906,0.0009288613,0.002355268,0.005019921,0.003549757,0.002157492,0.0008202689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260245,"about_ca_system_score_gemma":0.002705389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005593835,"about_ca_topic_score_gemma":0.0008647627,"domain_scores_codex":[0.9587359,0.03401075,0.001485901,0.002484717,0.002429108,0.0008535785],"domain_scores_gemma":[0.7793297,0.182632,0.009328135,0.02148029,0.004288445,0.002941508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005588667,0.01866379,0.01802046,0.002582127,0.0004644436,0.0002021001,0.005361261,0.02653584,0.03229681,0.02720112,0.005565789,0.8575177],"study_design_scores_gemma":[0.01339934,0.07945061,0.1114559,0.004365853,0.00110622,0.0007749379,0.008431773,0.1476813,0.1148337,0.3488395,0.1684285,0.001232337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5557674,0.002091802,0.4006609,0.007064337,0.0006508518,0.007111668,0.0004858907,0.004441892,0.02172523],"genre_scores_gemma":[0.7230241,0.0004350926,0.2700121,0.0008993242,0.000117586,0.004042217,0.0001517675,0.0001494021,0.00116831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04661688,"threshold_uncertainty_score":0.2465366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483684689529977,"score_gpt":0.3266726733182112,"score_spread":0.2783042043652135,"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."}}