{"id":"W4308713180","doi":"10.24908/pceea.vi.15957","title":"Curriculum Integration of the Canadian Engineering Grand Challenges in a First-year Undergraduate Design Course Using Multi-layered Peer Learning: A Methodology","year":2022,"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 Alberta","funders":"","keywords":"Curriculum; Inclusion (mineral); Class (philosophy); Engineering education; Peer learning; Grand Challenges; Active learning (machine learning); Engineering; Mathematics education; Engineering ethics; Engineering management; Computer science; Pedagogy; Sociology; Psychology; Artificial intelligence","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":[0.001354746,0.0002292961,0.0002730569,0.0005898466,0.000273466,0.00004759295,0.0004360746,0.0002059967,0.00001572661],"category_scores_gemma":[0.00151928,0.000219436,0.0001105193,0.001124779,0.00002454376,0.0001519597,0.00004102708,0.000756043,0.000001292695],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004502441,"about_ca_system_score_gemma":0.0009157927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08412945,"about_ca_topic_score_gemma":0.1769174,"domain_scores_codex":[0.998377,0.00004552232,0.0004214466,0.000220548,0.0004675269,0.0004679394],"domain_scores_gemma":[0.9989473,0.0001009952,0.0002167132,0.0001431067,0.0003628278,0.0002290163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002657017,0.00009455519,0.03389018,0.000548027,0.0001365659,2.28436e-7,0.004336102,0.9502466,0.003759031,0.004052345,0.002366717,0.0005669994],"study_design_scores_gemma":[0.0007279468,0.00004784028,0.1099257,0.0004654771,0.0001365642,0.00002210606,0.003418357,0.8663694,0.002101319,0.0003197698,0.01575475,0.0007107232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342933,0.002822947,0.005239728,0.0384271,0.0150238,0.002847298,0.0001129205,0.0005075678,0.0007253012],"genre_scores_gemma":[0.9931594,0.00004619297,0.006254868,0.00002512817,0.00009526606,0.000134448,0.00001094312,0.00006070231,0.0002130131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09278791,"threshold_uncertainty_score":0.9993191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05227227345113362,"score_gpt":0.2517638003669107,"score_spread":0.199491526915777,"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."}}