{"id":"W2130308440","doi":"10.1080/03043797.2014.944101","title":"Consensus-based course design and implementation of constructive alignment theory in a power system analysis course","year":2014,"lang":"en","type":"article","venue":"European Journal of Engineering Education","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Course (navigation); Computer science; Constructive; Process (computing); Mathematics education; Ranking (information retrieval); Course evaluation; Rank (graph theory); Higher education; Psychology; Artificial intelligence; Engineering; Mathematics; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01011541,0.00006326052,0.0001450594,0.0002560534,0.00005186119,0.00003179456,0.00008954483,0.00001355875,0.0000266724],"category_scores_gemma":[0.0005332011,0.00006341148,0.00004135771,0.0002292576,0.00005468084,0.0001226895,0.000005620739,0.00009297447,0.0000011407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116528,"about_ca_system_score_gemma":0.0004189232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005226429,"about_ca_topic_score_gemma":0.00001085247,"domain_scores_codex":[0.997141,0.00204823,0.0003767596,0.00007647255,0.0002716544,0.00008586788],"domain_scores_gemma":[0.998385,0.0006596742,0.0005829463,0.00007643811,0.0002314752,0.00006450283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003114566,0.0009174582,0.1482282,0.0002975112,0.001928199,0.0000196242,0.1180015,0.4445159,0.005153507,0.2196641,0.000981668,0.05998079],"study_design_scores_gemma":[0.002122565,0.0005635902,0.8497476,0.0006057668,0.001906782,0.00002521116,0.1259134,0.01532978,0.001098699,0.0001961685,0.002099508,0.0003909838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788643,0.0001866454,0.118678,0.0009157188,0.0004187668,0.0001686504,0.000001297461,0.0000133231,0.0007531856],"genre_scores_gemma":[0.9848177,0.00000535504,0.01508029,0.00001958225,0.00005688607,0.000001287602,9.659925e-7,0.000008048943,0.000009917691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7015194,"threshold_uncertainty_score":0.3505819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247654474858188,"score_gpt":0.3666980074995546,"score_spread":0.3419325600137357,"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."}}