{"id":"W3175846204","doi":"10.24908/pceea.vi0.14934","title":"Lessons Learned from Using Competency Based Assessment (CBA) in a First Year Engineering Statics Course","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovations in Medical Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mathematics education; Competence (human resources); Course (navigation); Computer science; Test (biology); Psychology; Medical education; Engineering; Medicine","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":[0.01627057,0.001261062,0.0008062446,0.001255336,0.002842468,0.00493933,0.004354777,0.002988301,0.0037245],"category_scores_gemma":[0.03302472,0.0007132479,0.0007952664,0.0009932214,0.001941114,0.005830429,0.004337229,0.007224055,0.002475112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00401894,"about_ca_system_score_gemma":0.005746309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137951,"about_ca_topic_score_gemma":0.03056925,"domain_scores_codex":[0.9836372,0.00957674,0.0008564315,0.001339397,0.003813023,0.000777265],"domain_scores_gemma":[0.9782647,0.01098327,0.0005151516,0.001744484,0.005452987,0.003039512],"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":[0.0001711957,0.004121753,0.0116852,0.001757132,0.00005795728,0.003199915,0.03116058,0.00402899,0.00480463,0.007209139,0.07621029,0.8555932],"study_design_scores_gemma":[0.0007121356,0.005942627,0.04996262,0.01061817,0.0002176759,0.01216817,0.08557842,0.02348541,0.01466588,0.05312227,0.7423236,0.001203076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2954603,0.01208933,0.3054043,0.2287686,0.008727939,0.006907075,0.0007048535,0.006430722,0.135507],"genre_scores_gemma":[0.235806,0.007429273,0.708617,0.01734931,0.001211935,0.001672999,0.0003970614,0.0008249506,0.02669141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01627057,"threshold_uncertainty_score":0.08604801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399710511115323,"score_gpt":0.3015190874138498,"score_spread":0.2775219823026965,"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."}}