{"id":"W3002447953","doi":"10.24908/pceea.vi0.13768","title":"DEVELOPING A FRAMEWORK TO EVALUATE INDIVIDUAL LEARNING IN ENGINEERING DESIGN PROBLEMS – PART 1: TEACHING THROUGH SIMULACRA OF REAL-WORLD PROBLEMS","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Cornerstone; Capstone; Dilemma; Context (archaeology); Problem-based learning; Engineering education; Computer science; Mathematics education; Engineering design process; Preference; Simple (philosophy); Engineering management; Engineering; Mathematics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01949886,0.001241186,0.0008421267,0.005502021,0.001709214,0.006387183,0.002179186,0.001604814,0.004585555],"category_scores_gemma":[0.0394128,0.0003986265,0.001281149,0.002841085,0.006206454,0.004938192,0.004375653,0.002050886,0.0006192582],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007781295,"about_ca_system_score_gemma":0.004636485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005601406,"about_ca_topic_score_gemma":0.005390782,"domain_scores_codex":[0.9826561,0.01089411,0.0008807862,0.001221186,0.003632518,0.0007152333],"domain_scores_gemma":[0.9727814,0.01700093,0.002589672,0.001842081,0.00478856,0.0009973308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00093939,0.007319825,0.09980188,0.001898533,0.0003289037,0.0002619892,0.03980599,0.05516623,0.01995656,0.3296366,0.004804464,0.4400797],"study_design_scores_gemma":[0.0009357147,0.009715118,0.1281069,0.001858996,0.0003668,0.0007506305,0.06448794,0.3559631,0.05202873,0.3000727,0.08515104,0.0005622649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3937234,0.0004956116,0.494522,0.0009076062,0.0001137571,0.008319784,0.0004539904,0.0008009337,0.1006629],"genre_scores_gemma":[0.5985209,0.0001474625,0.3915892,0.0001074359,0.000008704385,0.006137617,0.0003051997,0.00008809263,0.003095476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9922187,"threshold_uncertainty_score":0.103121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669677142628352,"score_gpt":0.2430823749507485,"score_spread":0.2263856035244649,"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."}}