{"id":"W2889617524","doi":"10.1109/iset.2018.00047","title":"Learning Analytics Intervention: A Review of Case Studies","year":2018,"lang":"en","type":"review","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University; University of Hong Kong","keywords":"Learning analytics; Intervention (counseling); Analytics; Remedial education; Computer science; Medical education; Phone; Knowledge management; Data science; Psychology; Mathematics education; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001260835,0.0002975442,0.001953842,0.0002121094,0.00008217242,0.00004472241,0.0007478512,0.0001030345,0.00004366774],"category_scores_gemma":[0.0008250166,0.0002060204,0.001000905,0.0009788066,0.00008788401,0.0001064363,0.0006239112,0.0004413822,0.000122492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004809651,"about_ca_system_score_gemma":0.0001287523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000500316,"about_ca_topic_score_gemma":0.000002828947,"domain_scores_codex":[0.9976705,0.0004041151,0.001060065,0.0004233425,0.0002469685,0.0001950568],"domain_scores_gemma":[0.9976131,0.0002798697,0.0009209848,0.0006949538,0.0004280677,0.0000629945],"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":[4.354609e-8,0.0000231119,3.083417e-7,0.2203707,0.0003150705,0.0002774565,0.00002518621,7.018382e-7,2.928182e-10,0.001039755,0.003323139,0.7746245],"study_design_scores_gemma":[0.00002765065,0.0001300482,5.29777e-9,0.2362929,0.0007388489,0.001423579,0.00002321943,0.0008391323,2.888028e-8,0.00006136756,0.7602986,0.0001645747],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.764511e-8,0.9908392,0.007810806,0.0001455023,0.0002051282,0.0001544571,0.000002128618,0.000102776,0.0007399667],"genre_scores_gemma":[4.994396e-7,0.982882,0.01095701,0.00005949602,0.0001582498,0.000007040044,0.00001077665,0.00001600429,0.005908965],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7744599,"threshold_uncertainty_score":0.8401269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186319631485784,"score_gpt":0.4528898998226731,"score_spread":0.3342579366740947,"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."}}