{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007158753,0.0002563555,0.0002277406,0.000260058,0.0004782311,0.0008309869,0.0004714244,0.0001393979,0.000006930261],"category_scores_gemma":[0.0005307607,0.0002601331,0.00005745056,0.0002116221,0.00002203293,0.000499364,0.00006280839,0.000291963,0.000006084515],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004072506,"about_ca_system_score_gemma":0.0001326449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005711237,"about_ca_topic_score_gemma":0.0001958538,"domain_scores_codex":[0.9985433,0.0000156551,0.0002726183,0.0002845389,0.0004912996,0.0003926419],"domain_scores_gemma":[0.9990481,0.00007995584,0.0002025367,0.0002023999,0.0001938925,0.0002731547],"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":[0.00002927079,0.0007188386,0.1614637,0.001222139,0.000846354,0.000002172537,0.0524646,0.4992861,0.2409463,0.003034249,0.005614015,0.03437221],"study_design_scores_gemma":[0.0004172836,0.0001529097,0.9040383,0.0009626973,0.00005013219,0.000005210473,0.004865434,0.009705333,0.07640936,0.00002106326,0.002747359,0.0006248765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925065,0.00006051464,0.0008343142,0.0003048448,0.002355151,0.001111269,0.000003448393,0.0002281984,0.002595754],"genre_scores_gemma":[0.9946574,0.000007195232,0.004217039,0.00003361675,0.0001452223,0.0006876637,0.000001594706,0.00006387384,0.0001863735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7425746,"threshold_uncertainty_score":0.9999851,"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."}}