{"id":"W2909151705","doi":"10.24908/pceea.v0i0.13082","title":"Teaching From 1 to 9: A Progressive Teaching and Learning Experience","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Syllabus; Popularity; Computer science; Course (navigation); Process (computing); Quality (philosophy); Instructional design; Analytics; Engineering management; Multimedia; Mathematics education; Engineering; Data science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001511397,0.0003177671,0.000354919,0.0004112947,0.001958592,0.003101955,0.001559138,0.0008496013,0.02526948],"category_scores_gemma":[0.004274196,0.0002036956,0.0003437285,0.0002652118,0.001043244,0.001984565,0.005246098,0.002263163,0.009347303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034979,"about_ca_system_score_gemma":0.001953125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008790314,"about_ca_topic_score_gemma":0.003339483,"domain_scores_codex":[0.9987875,0.0002498451,0.00004946822,0.0002003727,0.000429294,0.0002835304],"domain_scores_gemma":[0.9962429,0.0003883556,0.0002401951,0.0002312153,0.0004158742,0.002481401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001372359,0.005294228,0.0275419,0.0004525614,0.00003555997,0.002112089,0.03567538,0.001282139,0.06049321,0.01988577,0.12539,0.7204649],"study_design_scores_gemma":[0.0001856864,0.006509759,0.07373916,0.0006339736,0.00005395933,0.004922241,0.02819487,0.002896143,0.01883492,0.04037916,0.8233233,0.0003269172],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7109135,0.0005445465,0.06046708,0.009326405,0.001307246,0.0009225927,0.001018048,0.003943779,0.2115567],"genre_scores_gemma":[0.8223043,0.0004681074,0.0608904,0.001931435,0.0002155365,0.0003843549,0.0007384064,0.0005002659,0.1125672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02526948,"threshold_uncertainty_score":0.08453482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003429701936487774,"score_gpt":0.2166145220360168,"score_spread":0.213184820099529,"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."}}