{"id":"W2143959207","doi":"10.1177/0002764213498851","title":"Learning Analytics","year":2013,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Learning analytics; Analytics; Personalization; Data science; Big data; Scope (computer science); Computer science; Field (mathematics); Adaptation (eye); Cultural analytics; Knowledge management; Data analysis; Engineering ethics; Semantic analytics; World Wide Web; Psychology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005284057,0.001025679,0.0008426408,0.004605424,0.001373583,0.01039208,0.003075007,0.001756996,0.08791787],"category_scores_gemma":[0.0228025,0.0003759431,0.0009213493,0.005580769,0.0009750973,0.008919608,0.006683427,0.002636798,0.06537065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307158,"about_ca_system_score_gemma":0.003560118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218114,"about_ca_topic_score_gemma":0.001875532,"domain_scores_codex":[0.9919071,0.002130217,0.0005654182,0.001437823,0.003485811,0.0004735394],"domain_scores_gemma":[0.9886205,0.003606585,0.000562781,0.002937918,0.003504541,0.0007676233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009582369,0.00009819305,0.002629157,0.0007672005,0.00004717037,0.000115689,0.0004764156,0.00164676,0.0005530973,0.1107253,0.3107288,0.5721164],"study_design_scores_gemma":[0.00001027125,0.0000258849,0.0006644716,0.000259404,0.000009777365,0.0000974834,0.00027181,0.002951656,0.0005559447,0.0390691,0.9560649,0.00001923847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.006162286,0.01744798,0.2313016,0.03724912,0.004794623,0.001487054,0.02782435,0.02304082,0.6506922],"genre_scores_gemma":[0.1754116,0.03058159,0.2538347,0.0193327,0.007167493,0.001945598,0.1018835,0.004357706,0.4054851],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.08791787,"threshold_uncertainty_score":0.2941145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392242987391283,"score_gpt":0.296129721985789,"score_spread":0.2822072921118762,"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."}}