{"id":"W2908627370","doi":"10.24908/pceea.v0i0.12976","title":"Experiential Learning vs Systematic Prescriptions in Engineering Design: A Crossroads for Education","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Experiential learning; Creativity; Intuition; Domain (mathematical analysis); Empirical research; Empirical evidence; Engineering ethics; Computer science; Management science; Knowledge management; Psychology; Mathematics education; Engineering; Epistemology; Cognitive science; Mathematics; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0203685,0.0006684153,0.0006519423,0.002061649,0.001583138,0.00936085,0.002050344,0.002681802,0.003708021],"category_scores_gemma":[0.03046824,0.0005399236,0.000466171,0.002042892,0.03418109,0.01106647,0.005900966,0.004871763,0.0006599391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005450699,"about_ca_system_score_gemma":0.009828255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528472,"about_ca_topic_score_gemma":0.002145736,"domain_scores_codex":[0.9816066,0.01266658,0.0007105988,0.0007205264,0.003711987,0.0005836748],"domain_scores_gemma":[0.9564572,0.03526799,0.001641729,0.003314164,0.002041272,0.00127755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004176959,0.0001558058,0.001311911,0.0006769282,0.0000115982,0.00004554584,0.01396281,0.0008919998,0.0003320241,0.8813343,0.001179237,0.100056],"study_design_scores_gemma":[0.0000464119,0.0002562826,0.001551435,0.001368585,0.000008899118,0.000138281,0.01250124,0.001714058,0.0008456907,0.9281731,0.05335995,0.00003603549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09758148,0.03639272,0.5008055,0.07892502,0.0008836466,0.0004960998,0.00006901235,0.0003228486,0.2845238],"genre_scores_gemma":[0.8625259,0.01242012,0.1084814,0.00347251,0.0002612924,0.0005503609,0.0000384774,0.00008990969,0.01216008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0203685,"threshold_uncertainty_score":0.1077202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009950769797779119,"score_gpt":0.2309230020725444,"score_spread":0.2209722322747653,"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."}}