{"id":"W2184074535","doi":"10.18260/1-2--7955","title":"Student Prediction And Tracking Of Learning Progress Through An Assembly Language Programming Course","year":2024,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Course (navigation); Computer science; Tracking (education); Artificial intelligence; Mathematics education; Programming language; Engineering; Pedagogy; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005203339,0.0001085273,0.0001306968,0.00005539935,0.0001094535,0.0004718518,0.0001992262,0.00004453306,0.000003613306],"category_scores_gemma":[0.0000118323,0.00008864493,0.00003757419,0.0001955182,0.00003024562,0.001136684,0.00009128286,0.0002044526,0.000003917166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002301069,"about_ca_system_score_gemma":0.00002962853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005486027,"about_ca_topic_score_gemma":0.000004983502,"domain_scores_codex":[0.9988739,0.0000875848,0.0002180356,0.0003340123,0.000286634,0.0001997854],"domain_scores_gemma":[0.9996303,0.00004829402,0.00006171963,0.0001507616,0.00006588623,0.00004304693],"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":[0.000003276455,0.0001484301,0.04056413,0.0002781834,0.00009695406,0.00009638844,0.05598858,0.0007493932,0.004490148,0.416153,0.0000137922,0.4814177],"study_design_scores_gemma":[0.0009932953,0.004710675,0.09461375,0.004771078,0.0001897973,0.0004831393,0.07939339,0.5847198,0.05171151,0.0004149579,0.1763395,0.001659158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5481396,0.002497599,0.4469844,0.00008737951,0.0004730433,0.0002337073,4.586091e-7,0.000643178,0.000940583],"genre_scores_gemma":[0.9841595,0.00001574169,0.01433166,0.000005296014,0.0001443978,0.00001426151,0.000001597866,0.00001248341,0.001315014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5839704,"threshold_uncertainty_score":0.4550078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234494914280988,"score_gpt":0.3288837727895071,"score_spread":0.3065388236466973,"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."}}