{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006025375,0.0002429697,0.0003087329,0.0001402374,0.0002664614,0.0002479243,0.000343694,0.0001092234,0.000004684174],"category_scores_gemma":[0.0001587833,0.0002325403,0.00007679129,0.0001006114,0.00002276439,0.0002596165,0.00006299798,0.0001888147,3.133397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440235,"about_ca_system_score_gemma":0.0006435883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005094449,"about_ca_topic_score_gemma":0.0005443851,"domain_scores_codex":[0.9986269,0.000004033327,0.0004196645,0.0002214577,0.0004067958,0.0003210916],"domain_scores_gemma":[0.9984747,0.00006452787,0.0003915604,0.0001943322,0.0006765305,0.0001983415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[6.99902e-7,0.0002296923,0.9847589,0.0006518594,0.0005215898,4.630879e-8,0.001904046,0.0008505376,0.001733568,0.004881643,0.00342393,0.00104349],"study_design_scores_gemma":[0.0004054624,0.00003642984,0.9939961,0.0001265134,0.0001460915,0.000001143299,0.0006243913,0.003198096,0.000386444,0.00002833402,0.0008057788,0.00024521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943001,0.00009382789,0.00006541132,0.002613126,0.001517899,0.0009587944,0.00009215622,0.00008358763,0.0002751163],"genre_scores_gemma":[0.9952784,0.00006627639,0.003748216,0.00006347182,0.00007059862,0.0003053712,0.00001701154,0.00004246971,0.000408157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009237207,"threshold_uncertainty_score":0.9482719,"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."}}