{"id":"W3174475334","doi":"10.24908/pceea.vi0.14912","title":"IMPLEMENTING COMPETENCY-BASED ASSESSMENT IN A FIRST YEAR ENGINEERING DESIGN COURSE","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Grading (engineering); Flexibility (engineering); Competence (human resources); Scheme (mathematics); Course (navigation); Computer science; Engineering management; Medical education; Engineering; Psychology; Management; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005859791,0.0002236564,0.000223538,0.0003269998,0.0001099433,0.0001185073,0.0002626452,0.0001374175,0.0000819171],"category_scores_gemma":[0.0003527714,0.0002569289,0.00008648828,0.000998818,0.000006404452,0.0001925665,0.00002657885,0.000365078,0.000008275184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003343311,"about_ca_system_score_gemma":0.002165187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005177241,"about_ca_topic_score_gemma":0.004336343,"domain_scores_codex":[0.9984363,0.000006955112,0.0004343104,0.00021237,0.0003515142,0.000558578],"domain_scores_gemma":[0.9990663,0.00007514746,0.0001260539,0.0001378512,0.000391508,0.0002031426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000001280946,0.0002280089,0.2036155,0.001248305,0.0002219908,0.000001429825,0.001409046,0.7368649,0.006029778,0.02489048,0.02497284,0.0005164636],"study_design_scores_gemma":[0.0008486538,0.00001634177,0.5921893,0.001006637,0.00008947574,0.000009205562,0.001025904,0.3313725,0.01167923,0.0001430397,0.06058243,0.001037399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8822441,0.002234672,0.02120335,0.03323448,0.0260746,0.004721314,0.0001964066,0.002730343,0.02736079],"genre_scores_gemma":[0.9655454,0.00001795102,0.033668,0.00009137981,0.0001082853,0.0001612777,0.00002219095,0.00006621204,0.0003192941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4054924,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005406312357941047,"score_gpt":0.2107794604461314,"score_spread":0.2053731480881904,"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."}}