{"id":"W3107360877","doi":"10.22606/jaer.2021.61004","title":"The Role of Learning Analytic in Education Reform","year":2020,"lang":"en","type":"article","venue":"Journal of Advances in Education Research","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learning analytics; Educational data mining; Field (mathematics); State (computer science); Data science; Analytics; Higher education; Public relations; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006195,0.00004920948,0.0001281507,0.0003922853,0.00008206394,0.00007242899,0.0007390961,0.00002694512,0.000003923004],"category_scores_gemma":[0.001433681,0.00003522897,0.00003960437,0.001577792,0.00006259149,0.0006118193,0.00007599963,0.0008332727,0.000004758023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208104,"about_ca_system_score_gemma":0.001743698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003476085,"about_ca_topic_score_gemma":0.00003100239,"domain_scores_codex":[0.9984494,0.0002807096,0.0004453349,0.0001130493,0.0005325119,0.0001790221],"domain_scores_gemma":[0.9985681,0.0003158243,0.0002828469,0.0001502223,0.0006014134,0.00008161252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002978928,0.0003030641,0.04318898,0.00003826176,0.000005414258,0.000001347737,0.003142965,0.00739807,0.0003499509,0.02579059,0.0001364033,0.9196151],"study_design_scores_gemma":[0.0006873579,0.001357617,0.03221185,0.000888752,0.00000857611,0.00004206807,0.122551,0.1786704,0.001852409,0.1361494,0.5252962,0.0002843927],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7545859,0.07797294,0.003263013,0.139656,0.00154731,0.0003595548,4.101919e-7,0.00002298958,0.02259194],"genre_scores_gemma":[0.9914379,0.003639939,0.004408083,0.00004711885,0.0002246228,0.000002566032,3.759316e-7,0.000004096274,0.0002352721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9193308,"threshold_uncertainty_score":0.3620202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152717270724748,"score_gpt":0.4206938004191266,"score_spread":0.3991666277118792,"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."}}