{"id":"W3002243231","doi":"10.24908/pceea.vi0.13787","title":"EFFECTIVE LEARNING ENVIRONMENTS: IS THERE ALIGNMENT BETWEEN THE IDEAL, THE ACTUAL, AND THE STUDENTS' PERSPECTIVE?","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Formative assessment; Rigour; Thematic analysis; Learning environment; Perspective (graphical); Value (mathematics); Ideal (ethics); Psychology; Active learning (machine learning); Mathematics education; Pedagogy; Engineering education; Qualitative research; Computer science; Engineering; Sociology","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":[0.0167315,0.0002317562,0.0004257677,0.001184217,0.002990572,0.01253433,0.001274218,0.002330551,0.002201952],"category_scores_gemma":[0.02380797,0.000259449,0.0002158482,0.001148152,0.01230702,0.01664029,0.005844935,0.001781089,0.0003843036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004253219,"about_ca_system_score_gemma":0.00614707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352889,"about_ca_topic_score_gemma":0.001936505,"domain_scores_codex":[0.9711776,0.02199987,0.0009082336,0.0009595842,0.003007403,0.001947246],"domain_scores_gemma":[0.9821121,0.01139453,0.001975802,0.0008435735,0.001807692,0.001866395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008088008,0.0002698854,0.02629399,0.00146054,0.0000234002,0.001291314,0.5888761,0.0002642323,0.001270136,0.2297522,0.00949505,0.1409222],"study_design_scores_gemma":[0.00001162178,0.0001100077,0.005772372,0.00119142,0.000008957591,0.0006755042,0.8799736,0.0003954003,0.000489079,0.03443253,0.07689865,0.00004084162],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6284553,0.0119331,0.04670277,0.1744202,0.0009602905,0.0002842888,0.0002349099,0.0001297777,0.1368794],"genre_scores_gemma":[0.9903101,0.001294899,0.003537735,0.002978037,0.00004930155,0.0001193203,0.00003356646,0.00001594474,0.001661135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167315,"threshold_uncertainty_score":0.08848572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154287958065078,"score_gpt":0.3050509786378932,"score_spread":0.2935080990572425,"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."}}