{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005501743,0.000133403,0.0001493061,0.00007209387,0.001277531,0.0004016269,0.0007241156,0.000102937,0.00008203091],"category_scores_gemma":[0.004532522,0.00007705981,0.00008429377,0.0002762887,0.0001380871,0.0003455101,0.00007742937,0.0005006483,0.00003020981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622897,"about_ca_system_score_gemma":0.0003467262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05275113,"about_ca_topic_score_gemma":0.004310225,"domain_scores_codex":[0.9981415,0.0002188852,0.0002084085,0.000202846,0.0009592368,0.00026909],"domain_scores_gemma":[0.9976987,0.001272966,0.0005787097,0.000135088,0.0002205817,0.00009396632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008760522,0.00004340656,0.7352275,0.00003167482,0.0005048197,1.391753e-8,0.177286,0.0003974225,0.0001140176,0.0731502,0.01146462,0.0017716],"study_design_scores_gemma":[0.0003889814,0.00002169225,0.6746203,0.00006353715,0.0001831522,3.898776e-7,0.05764179,0.0001792182,0.0001078076,0.001198945,0.2654321,0.0001619709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298455,0.0005221656,0.00000635898,0.1576942,0.0006574432,0.001732411,0.000006315122,0.00003295342,0.009502667],"genre_scores_gemma":[0.9928563,0.0001120608,0.00002672887,0.0007131412,0.0002624453,0.000113729,0.000001053318,0.00001921016,0.005895322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2539676,"threshold_uncertainty_score":0.9825865,"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."}}