{"id":"W2908846368","doi":"10.24908/pceea.v0i0.13039","title":"A Study of Blended Learning in a First-Year Chemistry for Engineers Course","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Blended learning; Pace; Mathematics education; Chemistry education; Course (navigation); Diversity (politics); Engineering education; Active learning (machine learning); Computer science; Educational technology; Chemistry; Multimedia; Engineering; Psychology; Engineering management; Physics; Sociology","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":[0.00230291,0.00009114523,0.00015612,0.0001815353,0.0002554236,0.00003669339,0.0002778167,0.00011948,0.00002005411],"category_scores_gemma":[0.006968596,0.0001009049,0.00004386176,0.0008339015,0.00003794327,0.0001270719,0.00001456604,0.0002216956,8.186755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893543,"about_ca_system_score_gemma":0.001398337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01661926,"about_ca_topic_score_gemma":0.03297779,"domain_scores_codex":[0.9990104,0.00002077115,0.0002576618,0.0001444168,0.000292689,0.000274104],"domain_scores_gemma":[0.99841,0.0001440819,0.0003464689,0.00006022763,0.0009559003,0.0000833115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001365184,0.0004246503,0.8181098,0.0003501036,0.0001619547,4.888786e-8,0.1480451,0.00104714,0.003842057,0.0198796,0.007297357,0.0008286003],"study_design_scores_gemma":[0.002081795,0.0002437532,0.7724067,0.0005549063,0.000169915,8.282365e-7,0.1491268,0.003271289,0.010437,0.001083031,0.05978977,0.0008342296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902217,0.000009116609,0.00003668418,0.002507479,0.0005677986,0.0005973614,0.000005131322,0.00004406166,0.006010655],"genre_scores_gemma":[0.995707,0.000001131133,0.002211877,0.00002135653,0.0002315996,0.00007224853,0.000001507817,0.00001886835,0.001734365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05249241,"threshold_uncertainty_score":0.9899291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447869273575178,"score_gpt":0.3023535882780431,"score_spread":0.2878748955422913,"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."}}