{"id":"W4403794138","doi":"10.24908/pceea.2023.17016","title":"Improving the Student Laboratory Experience Through Constructive Alignment","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Constructive; Mathematics education; Computer science; Psychology; Programming language; Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002828045,0.0001639166,0.0001199772,0.0001280845,0.0001292472,0.000186909,0.0003276966,0.000128299,0.00002855082],"category_scores_gemma":[0.0002284376,0.0001275297,0.00006665171,0.0006967727,0.00003797015,0.0002908535,0.00002447424,0.0002987543,0.00001337157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002357709,"about_ca_system_score_gemma":0.0004141443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636192,"about_ca_topic_score_gemma":0.0003298238,"domain_scores_codex":[0.9989075,0.000004315525,0.0002555115,0.0001746537,0.000358763,0.0002992749],"domain_scores_gemma":[0.9994217,0.00005981495,0.00006702599,0.0001136859,0.0002063909,0.0001313589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005727855,0.0002777439,0.0432809,0.008675388,0.001780982,0.000001730445,0.1248816,0.02240283,0.1349843,0.2039454,0.4349259,0.02483747],"study_design_scores_gemma":[0.0004790011,0.00005885937,0.1702012,0.00196573,0.0003733124,0.00003292337,0.01435548,0.0805229,0.07556447,0.001502255,0.6530489,0.001894913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649053,0.002923475,0.0005296309,0.005653856,0.01901071,0.0008346476,0.00008158241,0.0007857742,0.005274988],"genre_scores_gemma":[0.9982986,0.00003996085,0.0005234168,0.0001433754,0.0003827493,0.0001473914,0.000004280898,0.00003930702,0.0004209308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.218123,"threshold_uncertainty_score":0.6165326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003666944073661881,"score_gpt":0.2030343030570967,"score_spread":0.1993673589834348,"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."}}