{"id":"W3003015357","doi":"10.24908/pceea.vi0.13863","title":"THE IMPORTANCE OF INCLUDING RECOGNITION OF PATTERNS ACTIVITIES IN LEARNING PROBLEM-SOLVING IN ENGINEERING CLASSROOMS","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Memorization; Calculator; Process (computing); Mathematics education; Class (philosophy); Strategist; Computer science; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002091494,0.0000885063,0.0001678744,0.0003534929,0.0001150961,0.00004863462,0.0002664385,0.0001089772,0.00002222877],"category_scores_gemma":[0.002400184,0.0000842314,0.00005163991,0.0005353359,0.0000187011,0.0002398319,0.00002467165,0.0003006106,5.784343e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527307,"about_ca_system_score_gemma":0.0005370568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01524652,"about_ca_topic_score_gemma":0.03699776,"domain_scores_codex":[0.9989184,0.00002547803,0.0004086501,0.0001124059,0.000297826,0.0002373083],"domain_scores_gemma":[0.9987673,0.0002801057,0.000606086,0.00006956573,0.0002258406,0.00005115492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001133159,0.00003367135,0.9506094,0.0003440229,0.00001301604,9.42532e-9,0.01801799,0.0003193173,0.001526749,0.02840618,0.00009782406,0.0006306824],"study_design_scores_gemma":[0.0007076152,0.0000784479,0.8701294,0.00687855,0.0000605883,0.00000182285,0.06670754,0.01002376,0.01680133,0.01512552,0.01248304,0.001002408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915418,0.00004031409,0.00003169082,0.001003478,0.000291528,0.0004174321,0.000003302174,0.00003180253,0.006638672],"genre_scores_gemma":[0.9984352,0.00004154184,0.0009323754,0.00001378206,0.00003467724,0.00004219371,0.000002287698,0.00001566808,0.0004822664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08048002,"threshold_uncertainty_score":0.991311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262103030385371,"score_gpt":0.2526426932675587,"score_spread":0.240021662963705,"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."}}