{"id":"W3002875345","doi":"10.24908/pceea.vi0.13769","title":"DEVELOPING A FRAMEWORK TO EVALUATE INDIVIDUAL LEARNING IN ENGINEERING DESIGN PROBLEMS – PART 2: ASSESSMENT OF INDIVIDUAL LEARNING IN TEAM ENVIRONMENTS","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Accreditation; Competence (human resources); Team-based learning; Dilemma; Computer science; Set (abstract data type); Outcome (game theory); Curriculum; Project-based learning; Function (biology); Knowledge management; Engineering management; Mathematics education; Engineering; Psychology; Medical education; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0406452,0.001583325,0.0009871522,0.006247532,0.001953061,0.007157633,0.002405332,0.001909294,0.002437891],"category_scores_gemma":[0.03871219,0.0004748235,0.001723466,0.00240821,0.004257455,0.004498906,0.004797343,0.002469454,0.000821746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007141822,"about_ca_system_score_gemma":0.008977174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007608364,"about_ca_topic_score_gemma":0.007155031,"domain_scores_codex":[0.9690541,0.01931056,0.002116359,0.00164862,0.006789836,0.001080523],"domain_scores_gemma":[0.9628736,0.01618237,0.003739329,0.002145574,0.01375173,0.0013074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003818789,0.002670819,0.07540646,0.001864825,0.0002874661,0.0003075001,0.03002101,0.03365535,0.01461431,0.1392003,0.0100165,0.6915736],"study_design_scores_gemma":[0.0003690718,0.005871906,0.180895,0.005023529,0.0003539707,0.001296238,0.07050268,0.260851,0.05657862,0.2264963,0.1909474,0.0008142678],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09320035,0.0006199789,0.8506902,0.001817504,0.0001350053,0.007167188,0.0004427315,0.001088642,0.04483837],"genre_scores_gemma":[0.2638463,0.0002175718,0.7265482,0.0001603922,0.00001440002,0.005949331,0.0003991261,0.00007360341,0.002791069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0406452,"threshold_uncertainty_score":0.2149549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158993156493036,"score_gpt":0.2306812639887513,"score_spread":0.219091332423821,"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."}}