{"id":"W2788628136","doi":"10.1007/s40692-018-0099-8","title":"Investigating the impact of blended learning on academic performance in a first semester college physics course","year":2018,"lang":"en","type":"article","venue":"Journal of Computers in Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Blended learning; Mathematics education; Context (archaeology); Active learning (machine learning); Educational technology; Higher education; Implementation; Learning sciences; Computer science; Pedagogy; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004059921,0.00006971467,0.0001509385,0.0001563639,0.0001817117,0.00001684644,0.000267544,0.00005611732,0.000003672638],"category_scores_gemma":[0.0005397273,0.00005137143,0.00004293617,0.0007274945,0.0002366504,0.0002958552,0.0000192353,0.0007516308,8.641579e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226824,"about_ca_system_score_gemma":0.001544476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001459195,"about_ca_topic_score_gemma":0.00004065265,"domain_scores_codex":[0.9983969,0.0007357235,0.0003850428,0.00006686385,0.0002664946,0.0001490017],"domain_scores_gemma":[0.9984864,0.0004939305,0.0006653211,0.00006908755,0.0002534885,0.00003176658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003358143,0.0002074779,0.8087188,0.00001726109,0.00002023718,3.499071e-7,0.133093,0.009120769,0.0003413329,0.004861763,0.001319975,0.04226546],"study_design_scores_gemma":[0.0003596975,0.0004136208,0.9781166,0.0009415491,0.000006450537,0.000005098509,0.007648689,0.006945588,0.0003163693,0.004641611,0.0005109356,0.00009374062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952137,0.00002010359,0.0008281357,0.001714914,0.0007527708,0.0001057493,2.133916e-7,0.000003595376,0.00136081],"genre_scores_gemma":[0.9909541,0.00002057722,0.008013042,0.0001222333,0.0008565278,0.000001453511,2.534559e-7,0.000005759463,0.00002603277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693978,"threshold_uncertainty_score":0.3265503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594506025057493,"score_gpt":0.4246542938868837,"score_spread":0.3787092336363088,"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."}}