{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004346516,0.0002025112,0.0001730271,0.0002613676,0.0004305951,0.0001584689,0.0002849601,0.0001270953,0.00002150031],"category_scores_gemma":[0.001743047,0.0002174268,0.00004384879,0.0002422843,0.00002321038,0.0002974839,0.00005608372,0.0007973034,0.00001315825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485742,"about_ca_system_score_gemma":0.000083217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008093661,"about_ca_topic_score_gemma":0.0007664237,"domain_scores_codex":[0.9988578,0.00001457646,0.00025057,0.0002321804,0.0002693924,0.0003754894],"domain_scores_gemma":[0.999267,0.00008294649,0.0001155518,0.00009224991,0.0001651379,0.0002771204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001147199,0.0001025595,0.1508302,0.0005650733,0.0004700067,8.494164e-7,0.1773946,0.04020525,0.5701985,0.0109365,0.01888705,0.03039787],"study_design_scores_gemma":[0.0008427067,0.0002473703,0.230102,0.002698408,0.0001608174,0.00003306084,0.01608696,0.2322293,0.1135875,0.0002591688,0.4009661,0.002786552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907026,0.000171344,0.0001454416,0.0005484605,0.00113911,0.0002708861,0.000006444327,0.0003193966,0.006696334],"genre_scores_gemma":[0.9839256,0.000001640024,0.01456702,0.0001284111,0.0004412403,0.00008131358,0.000003669707,0.00006740612,0.000783735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4566111,"threshold_uncertainty_score":0.9985116,"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."}}