{"id":"W4399489501","doi":"10.22318/icls2024.217962","title":"Using an Evidence-Centered Design Approach to Examine the Alignment of Computer Science Curricula with Standards","year":2024,"lang":"en","type":"article","venue":"Proceedings.","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"National Science Foundation","keywords":"Curriculum; Computer science; Engineering ethics; Mathematics education; Software engineering; Human–computer interaction; Engineering; Psychology; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002325099,0.0001354982,0.0001309241,0.0002251009,0.0002289845,0.0008750799,0.000925596,0.00002079097,0.000004388636],"category_scores_gemma":[0.00002910514,0.00007829614,0.00002210746,0.00175162,0.00008755914,0.001771685,0.0001921206,0.00007022511,0.000006923296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165171,"about_ca_system_score_gemma":0.0006569719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000766708,"about_ca_topic_score_gemma":1.386307e-7,"domain_scores_codex":[0.9978535,0.00001775213,0.0003189761,0.0003687692,0.001185236,0.000255725],"domain_scores_gemma":[0.9987169,0.00001784863,0.0001038106,0.0001968029,0.000828739,0.0001359074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007063449,0.001074907,0.002100815,0.001768934,0.0001673711,0.000005780963,0.3384004,0.01368038,0.01264897,0.4273912,0.01967864,0.183012],"study_design_scores_gemma":[0.0001682333,0.0002974146,0.00117752,0.001057798,0.00001315329,0.0001464846,0.001974184,0.9798977,0.0107354,0.00007654173,0.004146696,0.0003089007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03623211,0.00007565031,0.9610915,0.0002202328,0.0003783191,0.0006461461,0.000001138496,0.0001005682,0.001254372],"genre_scores_gemma":[0.7538482,0.000002514681,0.2458564,0.0001558862,0.00005902557,0.00005280064,3.066509e-7,0.000005121695,0.00001978439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9662173,"threshold_uncertainty_score":0.8438416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044334136393412,"score_gpt":0.3290491672214039,"score_spread":0.2246157535820627,"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."}}