{"id":"W3003108497","doi":"10.24908/pceea.vi0.13827","title":"ON THE USE OF REFLECTIVE WRITING EXERCISES FOR IMPROVING STUDENT LEARNING OF CONCEPTUAL AND TECHNICAL PROBLEMS IN ENGINEERING","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Reflection (computer programming); Reflective writing; Mathematics education; Reflective thinking; Computer science; Engineering education; Engineering ethics; Psychology; Engineering; Engineering management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0123417,0.0007013598,0.000330844,0.001571185,0.00111439,0.002435694,0.001857064,0.001077819,0.004619204],"category_scores_gemma":[0.0501759,0.0003064881,0.0006233283,0.0007901004,0.001369324,0.00232788,0.003429013,0.001278734,0.001475036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009759031,"about_ca_system_score_gemma":0.002499317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009301574,"about_ca_topic_score_gemma":0.002493179,"domain_scores_codex":[0.9825833,0.01137927,0.0007555823,0.000699238,0.004109014,0.0004734434],"domain_scores_gemma":[0.9537436,0.0351781,0.002726736,0.003416152,0.00362006,0.001315361],"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":[0.0001903828,0.003371276,0.005316019,0.001012183,0.00004855855,0.0001028309,0.01038393,0.0006054239,0.005250064,0.002235579,0.004603678,0.96688],"study_design_scores_gemma":[0.001457291,0.0269521,0.2843722,0.02312499,0.001275217,0.003837568,0.05221908,0.01204135,0.1026497,0.03770701,0.4536235,0.0007399764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7377622,0.005862983,0.09877767,0.008724088,0.0005862801,0.003477857,0.0001361891,0.001040018,0.1436328],"genre_scores_gemma":[0.8211237,0.00903625,0.1460301,0.002188251,0.0001296544,0.001410919,0.0001676119,0.0002165123,0.01969703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123417,"threshold_uncertainty_score":0.06526995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035482276149958,"score_gpt":0.2986166967848813,"score_spread":0.2782618740233817,"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."}}