{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008977743,0.0002170227,0.0001668368,0.0003546227,0.0002176371,0.0001411923,0.0004711821,0.0001420437,0.00006756697],"category_scores_gemma":[0.00153042,0.000196407,0.00006985802,0.0009101644,0.000009785642,0.0004048049,0.00002068011,0.0004786602,0.00002769201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147779,"about_ca_system_score_gemma":0.0004747406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127739,"about_ca_topic_score_gemma":0.0002299208,"domain_scores_codex":[0.9987314,0.00001596599,0.0003238344,0.0001865537,0.0003151131,0.0004271251],"domain_scores_gemma":[0.9988701,0.0001079968,0.000185183,0.0001352534,0.0004405596,0.0002608964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001728124,0.0001541812,0.03587609,0.0009625189,0.0005180343,4.324863e-7,0.05606829,0.8187132,0.03510811,0.006080028,0.04314708,0.003354779],"study_design_scores_gemma":[0.0006409026,0.0001135703,0.1270635,0.00107345,0.0005596002,0.00008546506,0.0114339,0.5367512,0.07150113,0.000458354,0.2477203,0.002598571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249813,0.0005545146,0.01349099,0.005902978,0.01315797,0.003623741,0.00002376083,0.001499941,0.03676482],"genre_scores_gemma":[0.9920535,0.000005853132,0.006229376,0.0002274362,0.0002281866,0.0001018467,0.000001800808,0.0000804298,0.001071545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.281962,"threshold_uncertainty_score":0.8009247,"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."}}