{"id":"W4401313252","doi":"10.18260/1-2--47903","title":"Providing High-Quality Formative Feedback for Database Assignments","year":2024,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Formative assessment; Computer science; Database; Quality (philosophy); 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":[0.01701488,0.001879786,0.0008859665,0.002364886,0.0007630341,0.003538715,0.002543999,0.001633275,0.007478566],"category_scores_gemma":[0.1203964,0.0005636576,0.0005700046,0.001090768,0.0005900863,0.002437728,0.002287414,0.001831475,0.003104461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186538,"about_ca_system_score_gemma":0.001462532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358069,"about_ca_topic_score_gemma":0.001963683,"domain_scores_codex":[0.9790196,0.00989475,0.001980313,0.001848957,0.006420738,0.0008357255],"domain_scores_gemma":[0.8208784,0.1024889,0.01239281,0.01624931,0.04232791,0.005662537],"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":[0.001802703,0.006641063,0.02541616,0.001356384,0.0001062079,0.0007594624,0.007147534,0.01210139,0.08485074,0.0006712832,0.02123813,0.837909],"study_design_scores_gemma":[0.00120974,0.01760517,0.1590597,0.00176748,0.0004195969,0.001724342,0.006768181,0.211406,0.5124697,0.004955838,0.08154929,0.001065101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7739084,0.0003229902,0.1827524,0.001570922,0.0004557475,0.001712556,0.001214695,0.02795548,0.01010675],"genre_scores_gemma":[0.7607779,0.0001517679,0.2301929,0.000293502,0.000110356,0.0006243713,0.0009060228,0.001134508,0.005808583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01701488,"threshold_uncertainty_score":0.08998436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615484423489214,"score_gpt":0.3430416268192918,"score_spread":0.2968867825843997,"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."}}