{"id":"W4390738608","doi":"10.3390/educsci14010082","title":"A Current Overview of the Use of Learning Analytics Dashboards","year":2024,"lang":"en","type":"article","venue":"Education Sciences","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet","keywords":"Learning analytics; Analytics; Computer science; Data science; Big data; Value (mathematics); Cultural analytics; Data analysis; Knowledge management; Semantic analytics; World Wide Web; Machine learning; Data mining","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":[0.008909476,0.001279214,0.001269068,0.01062279,0.0008080555,0.0068271,0.001493908,0.002138366,0.01199434],"category_scores_gemma":[0.02855271,0.0008713553,0.00193445,0.01276198,0.001102641,0.00915972,0.002544039,0.002021793,0.004476718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668788,"about_ca_system_score_gemma":0.004017949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002752525,"about_ca_topic_score_gemma":0.002949669,"domain_scores_codex":[0.9920425,0.0028101,0.001549109,0.0009814524,0.002218483,0.0003983869],"domain_scores_gemma":[0.946214,0.04176624,0.002796952,0.0015863,0.006847957,0.0007886047],"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":[0.0001293942,0.00007675897,0.002013614,0.03209318,0.000127528,0.00007850645,0.0007955733,0.0004854889,0.001273885,0.01066013,0.02224124,0.9300247],"study_design_scores_gemma":[0.00001053277,0.0001004908,0.002721427,0.02861068,0.0002557266,0.0003038424,0.0006498136,0.0003783501,0.00122402,0.00349594,0.9621977,0.00005138635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00319907,0.9464368,0.01590815,0.005197281,0.001060797,0.0002610112,0.001331462,0.000704786,0.02590076],"genre_scores_gemma":[0.01739393,0.9559255,0.01696577,0.002670467,0.0007130117,0.0004198907,0.001569976,0.0002754886,0.004065993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01199434,"threshold_uncertainty_score":0.04711837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1767914305131757,"score_gpt":0.4232965423344824,"score_spread":0.2465051118213067,"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."}}