{"id":"W2145877192","doi":"10.24908/pceea.v0i0.5775","title":"AN EXPERIENTIAL LEARNING ACTIVITY TO PROMOTE SKILL DEVELOPMENT IN FIRST YEAR ENGINEERING STUDENTS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Experiential learning; Mentorship; Engineering education; Variety (cybernetics); Work (physics); Engineering; Psychology; Medical education; Mathematics education; Engineering management; Computer science; Medicine; Mechanical engineering; Artificial intelligence","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":[0.001298605,0.001044857,0.0003540915,0.0007809287,0.001446336,0.00201623,0.001399179,0.001117684,0.01351187],"category_scores_gemma":[0.00276795,0.0002815124,0.0004088742,0.0003066243,0.0006649972,0.001131678,0.003786704,0.00168519,0.004070255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005004217,"about_ca_system_score_gemma":0.001710103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810819,"about_ca_topic_score_gemma":0.001101212,"domain_scores_codex":[0.9989837,0.0002668815,0.00003339869,0.0001069405,0.0002747101,0.0003343533],"domain_scores_gemma":[0.9971698,0.0004080631,0.0001815826,0.0001380626,0.0002514438,0.001851019],"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":[0.0007875858,0.03996482,0.01384925,0.0009485097,0.00002842306,0.001669883,0.02301409,0.001379866,0.03149121,0.00885233,0.09041125,0.7876028],"study_design_scores_gemma":[0.0007899649,0.01671308,0.08588211,0.001426787,0.00008530595,0.006256864,0.02747598,0.005651728,0.06092428,0.01936726,0.7751154,0.0003112069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7911263,0.001157434,0.04097072,0.004076589,0.001485431,0.001893535,0.000299352,0.001866681,0.1571239],"genre_scores_gemma":[0.812425,0.001920577,0.07623085,0.002153952,0.000372625,0.001222962,0.0005215751,0.0001583957,0.1049942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351187,"threshold_uncertainty_score":0.04520172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009297623980176428,"score_gpt":0.2465785529827556,"score_spread":0.2372809290025792,"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."}}