{"id":"W2192959354","doi":"10.18260/1-2--18541","title":"Redesign of Freshman Electrical Engineering Courses for Improved Motivation and Early Introduction of Design","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; National Science Foundation","keywords":"Teamwork; Class (philosophy); Computer science; Curriculum; Engineering education; Project-based learning; Software engineering; Engineering design process; Mathematics education; Engineering management; Engineering; Pedagogy; Artificial intelligence; Mechanical engineering; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004775565,0.0009225791,0.0005325563,0.001939277,0.001873113,0.002985377,0.002468589,0.001370369,0.01724472],"category_scores_gemma":[0.01140595,0.0005322278,0.0008180766,0.0009331831,0.0006541762,0.002195555,0.002153615,0.002691362,0.005919568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340727,"about_ca_system_score_gemma":0.006633948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291271,"about_ca_topic_score_gemma":0.004790373,"domain_scores_codex":[0.9977187,0.0004081551,0.0002001964,0.0003975209,0.0007075079,0.0005679672],"domain_scores_gemma":[0.9820389,0.001656876,0.002472953,0.001459546,0.004534535,0.007837235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004358025,0.0142204,0.03557647,0.0007744648,0.00003260223,0.0006673181,0.003843579,0.002159748,0.03165371,0.003779946,0.0483885,0.8584674],"study_design_scores_gemma":[0.0008580452,0.01464581,0.3745846,0.001224749,0.000154518,0.0018134,0.009433904,0.01175757,0.05235208,0.01331877,0.5194669,0.0003896417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567405,0.001304406,0.06888709,0.01739082,0.004060666,0.00752721,0.0005936633,0.004287832,0.03920785],"genre_scores_gemma":[0.6445651,0.0012903,0.2709494,0.01156112,0.001336391,0.004076483,0.001421946,0.0006304506,0.06416882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01724472,"threshold_uncertainty_score":0.05768937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365150838678144,"score_gpt":0.2000964306223837,"score_spread":0.1864449222356023,"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."}}