{"id":"W4387366040","doi":"10.1007/s10639-023-12163-z","title":"How teachers’ self-regulation, emotions, perceptions, and experiences predict their capacities for learning analytics dashboard: A Bayesian approach","year":2023,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Learning analytics; Perception; Dashboard; Psychology; Analytics; Path analysis (statistics); Test (biology); Process (computing); Mathematics education; Self-regulated learning; Computer science; Knowledge management; Data science","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":[0.0002819032,0.0001261164,0.0001211234,0.000536902,0.0005249101,0.0006385293,0.000228403,0.0001185268,0.000001308931],"category_scores_gemma":[0.0003624613,0.0001074612,0.00003198093,0.0006134621,0.0001592712,0.002534634,0.00009235502,0.0001606571,0.000003130212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003121772,"about_ca_system_score_gemma":0.00009540716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003048583,"about_ca_topic_score_gemma":4.963761e-7,"domain_scores_codex":[0.9992886,0.00002909296,0.0002095389,0.0001695813,0.0001333026,0.0001699294],"domain_scores_gemma":[0.9993961,0.00006395207,0.0001500774,0.0002084063,0.0001457469,0.00003575216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000002183258,0.00009065102,0.005574864,0.0001995361,0.00005542055,4.335247e-8,0.2963036,0.0007301666,0.00003910332,0.1108365,0.01121741,0.5749506],"study_design_scores_gemma":[0.0001224406,0.00006623103,0.003971288,0.00002058595,0.00000902416,0.000008384804,0.5683371,0.3994228,0.00006850401,0.003834446,0.02398209,0.000157073],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3283888,0.0002086435,0.6415803,0.02393371,0.0002556793,0.0004412451,0.000007994212,0.004506091,0.0006774609],"genre_scores_gemma":[0.9427651,0.0003654032,0.05577613,0.00006873394,0.00003729419,0.0001455649,0.0001064653,0.000004881069,0.0007304665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6143762,"threshold_uncertainty_score":0.6157352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070254626104754,"score_gpt":0.2389342154927087,"score_spread":0.2282316692316611,"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."}}