{"id":"W2604904332","doi":"10.24908/pceea.v0i0.6497","title":"PRE AND POST COURSE STUDENT SELF ASSESSMENT OF CEAB GRADUATE ATTRIBUTES – A TOOL FOR OUTCOMES ASSESSMENT, STUDENT SKILL AND COURSE IMPROVEMENT","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Capstone course; Medical education; Course (navigation); Capstone; Psychology; Self-assessment; Course evaluation; Student engagement; Mathematics education; Higher education; Curriculum; Computer science; Engineering; Pedagogy; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006662115,0.0005696184,0.0006389021,0.003217029,0.0008385114,0.001155516,0.0005503157,0.000351536,0.008795456],"category_scores_gemma":[0.01207278,0.0002944545,0.0006756191,0.001420925,0.0002849273,0.0006593729,0.001375195,0.00111549,0.004888896],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714432,"about_ca_system_score_gemma":0.001441112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955643,"about_ca_topic_score_gemma":0.00517061,"domain_scores_codex":[0.9969296,0.0006200713,0.0003401656,0.0002833895,0.001492449,0.0003344575],"domain_scores_gemma":[0.9749877,0.003757984,0.003886711,0.002043378,0.01215217,0.003172022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009731498,0.008670877,0.6032255,0.000149387,0.00007004788,0.000109226,0.002623502,0.0006397523,0.009383607,0.0002854021,0.01300007,0.3608695],"study_design_scores_gemma":[0.00003480082,0.003121521,0.9830287,0.00002054382,0.00001863411,0.00004840022,0.0009734701,0.0009567045,0.005269556,0.0001097205,0.006376954,0.00004116336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710216,0.00004953625,0.004941436,0.000202097,0.00008874601,0.002604407,0.003390903,0.0007065867,0.01699471],"genre_scores_gemma":[0.9509455,0.0001307714,0.01624161,0.0001641747,0.0000694265,0.004057966,0.00450012,0.0001502136,0.02374013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9993286,"threshold_uncertainty_score":0.03523308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007468394728388686,"score_gpt":0.2885413883443275,"score_spread":0.2810729936159388,"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."}}