{"id":"W2604550880","doi":"10.24908/pceea.v0i0.6544","title":"ASSESSING STUDENT EXPERIENCES: ASSIGNMENT DESIGN TO ENCOURAGE STUDENT REFLECTION AND FEEDBACK ON PROGRAM-LEVEL EFFECTIVENESS","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Curriculum; Reflection (computer programming); Medical education; Engineering management; Computer science; Engineering; Mathematics education; Psychology; Pedagogy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02793133,0.001768979,0.00137661,0.002042061,0.001544634,0.001500217,0.001790579,0.001298536,0.01209073],"category_scores_gemma":[0.06324346,0.001021251,0.0007368349,0.001245337,0.001546292,0.0007693497,0.003016368,0.002202884,0.003459992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288299,"about_ca_system_score_gemma":0.001762868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003118175,"about_ca_topic_score_gemma":0.0006320378,"domain_scores_codex":[0.9743453,0.01445316,0.003206655,0.003196914,0.003354663,0.001443271],"domain_scores_gemma":[0.9393947,0.02513604,0.005432072,0.007904067,0.01813515,0.00399817],"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":[0.02587626,0.06315538,0.02234217,0.00268029,0.0002151089,0.0001689122,0.01093578,0.006490911,0.04481779,0.003037506,0.01759645,0.8026834],"study_design_scores_gemma":[0.05364361,0.1914034,0.2511864,0.001265098,0.0008500046,0.0003121278,0.01212758,0.08838622,0.1457618,0.01708716,0.2370118,0.0009647349],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.3919281,0.0001736391,0.174964,0.000550189,0.001591949,0.4151915,0.00113232,0.002593091,0.01187522],"genre_scores_gemma":[0.1606995,0.00009739645,0.1622767,0.0003679878,0.0002215751,0.6691619,0.0004788349,0.000204067,0.006492057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02793133,"threshold_uncertainty_score":0.1477168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663958700470557,"score_gpt":0.3177766343105273,"score_spread":0.2911370473058217,"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."}}