{"id":"W1935141251","doi":"10.24908/pceea.v0i0.5789","title":"ENGINEERS AS LIFE-LONG LEARNERS: PEDAGOGICAL TOOLS FOR ENGINEERING GRADUATE ATTRIBUTE DEVELOPMENT","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Toolbox; Experiential learning; Mathematics education; Bloom's taxonomy; Curriculum; Psychology; Taxonomy (biology); Computer science; Engineering education; Cognition; Pedagogy; Engineering; Engineering management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01326341,0.0009804323,0.0004892651,0.003952759,0.0007914274,0.00456014,0.001759735,0.0008819296,0.004235837],"category_scores_gemma":[0.04717708,0.0005454955,0.0006207316,0.001581709,0.002500218,0.008834261,0.005610797,0.0016493,0.001673659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094862,"about_ca_system_score_gemma":0.002204964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004265763,"about_ca_topic_score_gemma":0.0009527249,"domain_scores_codex":[0.994555,0.003553673,0.0005135938,0.000502163,0.0007188242,0.0001567679],"domain_scores_gemma":[0.9538349,0.0355829,0.00278917,0.003804939,0.002194518,0.001793509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001403563,0.001055065,0.0344778,0.0007331764,0.00003664313,0.0004518515,0.03688804,0.003068505,0.007296466,0.08037415,0.008511287,0.8269668],"study_design_scores_gemma":[0.0002963389,0.001740618,0.0541685,0.00321746,0.00012316,0.003565448,0.0395203,0.1102016,0.02078801,0.4294055,0.3364722,0.0005009996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06137788,0.0003159253,0.9154633,0.002692658,0.00008266025,0.0005845993,0.0002961459,0.005636555,0.01355024],"genre_scores_gemma":[0.1445856,0.0001922049,0.8516946,0.0001377547,0.00002348657,0.0009331304,0.0002441874,0.0001942492,0.001994837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01326341,"threshold_uncertainty_score":0.07014441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06439392543325248,"score_gpt":0.2610895494365659,"score_spread":0.1966956240033134,"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."}}