{"id":"W2809657765","doi":"10.5539/jel.v7n5p11","title":"Instructional Selection of Active Learning and Traditional Courses Increases Student Achievement in College Mathematics","year":2018,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Mathematics education; Selection (genetic algorithm); Student achievement; Instructional design; Academic achievement; Teaching method; Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335072,0.00005154921,0.0001275774,0.0002550853,0.0003742145,0.00002371899,0.00003883477,0.0000379945,0.0001113627],"category_scores_gemma":[0.001237845,0.00004951659,0.00001756029,0.0002531289,0.0001895314,0.000216742,0.000009723608,0.0003816847,2.564063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346339,"about_ca_system_score_gemma":0.0004322095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001161289,"about_ca_topic_score_gemma":0.00006424896,"domain_scores_codex":[0.9986609,0.0006485873,0.0002697786,0.00006319929,0.000280112,0.0000774589],"domain_scores_gemma":[0.9987024,0.0003915062,0.0004558081,0.00001269844,0.0003948579,0.00004275043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201502,0.001602012,0.6895949,0.00004648803,0.0001010857,7.348442e-7,0.1085128,0.00007931637,0.00420497,0.1216119,0.0001793934,0.07394622],"study_design_scores_gemma":[0.0004272653,0.0004168644,0.8126374,0.0001682488,0.00002192815,0.00004363247,0.1756971,0.00008761598,0.000283291,0.002243533,0.007893352,0.00007975663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995935,0.00004483392,0.0004586461,0.0003714429,0.0002113839,0.00005989442,6.044601e-7,0.000004028756,0.002914167],"genre_scores_gemma":[0.9805576,0.00004802804,0.01864045,0.0000233468,0.0003984542,0.000001780499,9.207939e-7,0.000004034607,0.0003253421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230425,"threshold_uncertainty_score":0.2878193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388570895559123,"score_gpt":0.4095076091354707,"score_spread":0.3656219001798795,"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."}}