{"id":"W2168412156","doi":"10.24908/pceea.v0i0.3949","title":"USING MASTERY LEARNING TO TEACH THE ENGINEERING DESIGN PROCESS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trilogy; Capstone; Process (computing); Engineering design process; Computer science; Design process; Conceptual design; Engineering management; Mathematics education; Engineering; Work in process; Psychology; Operations management; Human–computer interaction; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002747383,0.001672752,0.0007132377,0.002100375,0.001619164,0.004581784,0.002414587,0.001891091,0.02622034],"category_scores_gemma":[0.007094664,0.0006384368,0.0007654677,0.000801593,0.001483105,0.003812262,0.004757252,0.004182061,0.01129804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649162,"about_ca_system_score_gemma":0.00494099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008230111,"about_ca_topic_score_gemma":0.002801327,"domain_scores_codex":[0.9974915,0.000477952,0.0001072113,0.0004646611,0.001052829,0.0004058875],"domain_scores_gemma":[0.9949633,0.001359702,0.0005529502,0.0006225438,0.000843596,0.001657951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001446526,0.006021871,0.004602323,0.001128629,0.0000478589,0.0004795423,0.007304115,0.004354276,0.01199654,0.06098415,0.1224497,0.7804863],"study_design_scores_gemma":[0.0001878302,0.001905205,0.008632017,0.001740856,0.00005150371,0.001668769,0.003594135,0.01028873,0.02023558,0.200063,0.7515175,0.0001148532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.128698,0.00617941,0.3656336,0.02138657,0.002182971,0.002115255,0.0005216674,0.00534845,0.4679341],"genre_scores_gemma":[0.3319625,0.01166284,0.4284028,0.0124723,0.001117349,0.002204599,0.001078427,0.000922527,0.2101768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02622034,"threshold_uncertainty_score":0.0877158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030816950448912,"score_gpt":0.2314710473699916,"score_spread":0.2011628778655025,"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."}}