{"id":"W3036351670","doi":"10.24908/pceea.vi0.14166","title":"A COMPARISON OF THE TEACHING PRACTICES OF NOVICE EDUCATORS IN ENGINEERING AND OTHER POST-SECONDARY DISCIPLINES","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Thematic analysis; Engineering education; Rank (graph theory); Descriptive statistics; Mathematics education; Professional development; Perception; Student engagement; Psychology; Pedagogy; Medical education; Engineering; Qualitative research; Sociology; Mathematics; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003120074,0.0001666497,0.0002511689,0.0002237278,0.00005348839,0.00003573063,0.0003150812,0.0001078275,0.00001229749],"category_scores_gemma":[0.001514565,0.0001470485,0.00006263024,0.0005752293,0.00001532615,0.0001853663,0.00003880761,0.0003944905,8.440161e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005028885,"about_ca_system_score_gemma":0.000433534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873217,"about_ca_topic_score_gemma":0.00140183,"domain_scores_codex":[0.998928,0.000007325732,0.0004690303,0.0001441195,0.0002407875,0.0002107358],"domain_scores_gemma":[0.9990483,0.00008196111,0.0004437288,0.00009271743,0.0001942203,0.0001390742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004293309,0.0001549822,0.8548857,0.003701687,0.000197429,3.373048e-8,0.03415244,0.04880431,0.04531764,0.005442412,0.006003183,0.001335903],"study_design_scores_gemma":[0.0003487977,0.00002734183,0.8925184,0.0008477722,0.00008348175,0.000003567849,0.006190337,0.0506076,0.02108588,0.00002128582,0.02775156,0.0005139782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940652,0.0003414234,0.00001241992,0.003365111,0.0009296001,0.0002775345,0.00002053003,0.00005091512,0.0009372689],"genre_scores_gemma":[0.9986934,0.000006525433,0.0009656173,0.0001204639,0.00008917067,0.00002955515,0.000002428209,0.00003685138,0.00005596519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03763271,"threshold_uncertainty_score":0.5996464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008951190517053393,"score_gpt":0.2496432505231531,"score_spread":0.2406920600060997,"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."}}