{"id":"W4308802389","doi":"10.24908/pceea.vi.15843","title":"Student-Teacher Becomes the Teacher-Student: Educator Preparation for Post-Secondary Students to Enrich High School Student STEM Learning in the Discovery Educational Initiative","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Collaborative Teaching and Inclusion","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Rubric; Discovery learning; Curriculum; Mathematics education; General partnership; Active learning (machine learning); Pedagogy; Psychology; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.003632064,0.0004634532,0.0004516149,0.0005779468,0.004329754,0.003496421,0.001893649,0.001665019,0.01339615],"category_scores_gemma":[0.007162826,0.0004529022,0.0004569863,0.0003205099,0.001076296,0.001830867,0.004863504,0.002345226,0.006830056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622547,"about_ca_system_score_gemma":0.007260567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146291,"about_ca_topic_score_gemma":0.008869615,"domain_scores_codex":[0.9977997,0.0007558427,0.00009339034,0.0003650112,0.0004272709,0.000558775],"domain_scores_gemma":[0.9935693,0.0008164996,0.0004239121,0.0003533408,0.0007691137,0.0040678],"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":[0.0007134583,0.01359878,0.03984778,0.0009130327,0.00003352336,0.003720325,0.2667485,0.0004053332,0.04882141,0.006375996,0.07653493,0.542287],"study_design_scores_gemma":[0.0004456877,0.009227728,0.06173523,0.0008854877,0.0001117089,0.003265624,0.1822723,0.001714846,0.05227568,0.00567401,0.6821793,0.0002123486],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803543,0.0004425051,0.03865704,0.01086458,0.0008171104,0.002756404,0.0002934852,0.00208834,0.06372616],"genre_scores_gemma":[0.8541848,0.0006828813,0.06775965,0.003244507,0.0001744981,0.001684628,0.0004172373,0.0004309958,0.07142074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01339615,"threshold_uncertainty_score":0.04481459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010178043430759,"score_gpt":0.3091442383986954,"score_spread":0.2990424579643878,"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."}}