{"id":"W1760020508","doi":"10.24908/pceea.v0i0.4918","title":"Using Peer Instruction Pedagogy for Teaching Dynamics: Lessons Learned from Pre-Class Reading Quizzes","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Class (philosophy); Reading (process); Peer instruction; Mathematics education; Dynamics (music); Psychology; Pedagogy; Teaching method; Active learning (machine learning); Computer science; Peer feedback","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002632755,0.0001622236,0.0002101657,0.0003593128,0.001028258,0.0003013551,0.0003959253,0.0002598455,0.00003816784],"category_scores_gemma":[0.01166044,0.0001760871,0.00009777219,0.0004436237,0.00005709417,0.0006992604,0.00002982327,0.000448981,0.000003451216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007329558,"about_ca_system_score_gemma":0.001351128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.312026,"about_ca_topic_score_gemma":0.05787536,"domain_scores_codex":[0.9983733,0.00007104996,0.000346781,0.0002712649,0.0004818446,0.0004557789],"domain_scores_gemma":[0.9973531,0.0002816352,0.0005973107,0.0001045576,0.001495307,0.0001681156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007553262,0.00008317874,0.1668926,0.000167523,0.0002559536,2.339174e-8,0.06251037,0.001253564,0.01903784,0.6993281,0.01653238,0.03393087],"study_design_scores_gemma":[0.001410559,0.0000695024,0.4671954,0.0009623687,0.0004347583,0.000003751544,0.07526691,0.1586827,0.004854176,0.06422326,0.2247793,0.002117317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487507,0.00001979478,0.002285194,0.03494491,0.003019852,0.0008999566,0.0000540978,0.0001408187,0.009884723],"genre_scores_gemma":[0.9567091,0.000002802649,0.03675386,0.0001862039,0.0007209782,0.00009623099,0.00002524899,0.00004620992,0.005459385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6351049,"threshold_uncertainty_score":0.9966648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04876239893260556,"score_gpt":0.3742123658993149,"score_spread":0.3254499669667094,"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."}}