{"id":"W2613342477","doi":"10.18260/1-2--12372","title":"Engineering Faculty Teaching Styles And Attitudes Toward Student Centered And Technology Enabled Teaching Strategies","year":2020,"lang":"en","type":"article","venue":"","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Learning styles; Context (archaeology); Engineering education; Modalities; Perception; Active learning (machine learning); Computer science; Session (web analytics); Psychology; Mathematics education; Engineering; Engineering management; Artificial intelligence; Sociology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001563863,0.0002101371,0.0002653986,0.00009399767,0.0001726883,0.00021246,0.0001579582,0.0001104701,0.0001308669],"category_scores_gemma":[0.00009683434,0.0001696468,0.00002742978,0.00006366594,0.00007188514,0.0001411084,0.0001918047,0.0005775492,0.00001671124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040931,"about_ca_system_score_gemma":0.00001088773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009106306,"about_ca_topic_score_gemma":0.0000125602,"domain_scores_codex":[0.9988649,0.00008749792,0.0001901448,0.0004446226,0.0001125055,0.0003003603],"domain_scores_gemma":[0.9996346,0.00009015117,0.00005638771,0.00009224132,0.00002777967,0.00009881057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006171234,0.0002111824,0.571648,0.0001830124,0.0005874421,0.00007444531,0.03994653,0.00002139289,0.0086615,0.3210477,0.0003963103,0.05716076],"study_design_scores_gemma":[0.001964066,0.0006828683,0.7791297,0.0001459397,0.00008988589,0.00004502668,0.210283,0.0005410806,0.0002518473,0.0003606209,0.005835336,0.0006706099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845029,0.0004338005,0.002019446,0.002182661,0.00005668191,0.0001566105,0.00000829589,0.0003156004,0.01032407],"genre_scores_gemma":[0.9984041,0.00002223233,0.000948445,0.000198533,0.00007020346,0.00002056434,0.000009089695,0.00001864557,0.0003081671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3206871,"threshold_uncertainty_score":0.6917996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390079097893931,"score_gpt":0.3389939768577658,"score_spread":0.2999860670683727,"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."}}