{"id":"W3173649727","doi":"10.24908/pceea.vi0.14945","title":"COVID-19: A MOTIVATOR FOR CHANGE IN ENGINEERING EDUCATION?","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Best practice; Faculty development; Set (abstract data type); Medical education; Psychology; Instructional design; Pedagogy; Professional development; Medicine; Political science; Computer science","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":[0.01911004,0.0003328568,0.0003634516,0.001620794,0.006845457,0.005875594,0.001887713,0.002680263,0.004708761],"category_scores_gemma":[0.05954128,0.000377106,0.0004981886,0.0008836928,0.006282655,0.002996937,0.007078854,0.00404462,0.0004920878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005306804,"about_ca_system_score_gemma":0.009066682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003789761,"about_ca_topic_score_gemma":0.008188293,"domain_scores_codex":[0.9753518,0.01228817,0.001125694,0.00175692,0.005607919,0.003869464],"domain_scores_gemma":[0.9365461,0.0225799,0.01419739,0.002703442,0.007700372,0.01627272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001674697,0.001048116,0.6092745,0.000502823,0.00006624342,0.001309854,0.2412536,0.0001237644,0.001814093,0.01504215,0.01364067,0.1157568],"study_design_scores_gemma":[0.00004014729,0.000729259,0.2719065,0.0006284085,0.00003835414,0.001195774,0.6488594,0.0008501211,0.001586893,0.005141507,0.06886452,0.0001591459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450746,0.0006225317,0.002564444,0.03450855,0.000502005,0.0003861403,0.00007329958,0.00009423438,0.01617412],"genre_scores_gemma":[0.9921394,0.0001154811,0.001693348,0.003060026,0.00006674712,0.0001478534,0.00002808387,0.00002335791,0.002725732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01911004,"threshold_uncertainty_score":0.1010647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020573509133503,"score_gpt":0.2458599555668874,"score_spread":0.2356542204755524,"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."}}