{"id":"W4381144950","doi":"10.18608/hla22.008","title":"Learning Analytics for Self-Regulated Learning","year":2022,"lang":"en","type":"book-chapter","venue":"Solar eBooks","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Learning analytics; Metacognition; Computer science; Analytics; TRACE (psycholinguistics); Data science; Instrumentation (computer programming); Data analysis; Software analytics; Human–computer interaction; Software; Cognition; Data mining; Psychology; Software system","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000720757,0.0005048164,0.0006069268,0.000385035,0.0009056409,0.0002910131,0.001116118,0.0003693255,0.000115372],"category_scores_gemma":[0.0001018434,0.0005563898,0.0005051935,0.0000626373,0.00005645124,0.0001046917,0.0006675223,0.002373672,0.00008437777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727451,"about_ca_system_score_gemma":0.0003211579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006785643,"about_ca_topic_score_gemma":0.000004309065,"domain_scores_codex":[0.9973847,0.00009486471,0.0005107305,0.000864937,0.0005864467,0.0005582829],"domain_scores_gemma":[0.9981447,0.00025729,0.0005410009,0.0006779027,0.000209394,0.0001697396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002441826,0.00004756086,0.000102631,0.0002697238,0.001067354,0.0001656751,0.002678349,0.02507008,0.00007839574,0.8585535,0.001484122,0.1104581],"study_design_scores_gemma":[0.0003038683,0.0004201206,0.000002383865,0.0000669732,0.0001571292,0.00002079634,0.00002670449,0.1856643,0.00001674765,0.01586264,0.7968919,0.0005665031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001451341,0.0005238265,0.07496566,0.0009972353,0.0009919833,0.0007400307,0.00002011354,0.003040075,0.9185759],"genre_scores_gemma":[0.007742802,0.00004033988,0.01582065,0.0001157416,0.0004199639,0.00001620251,0.00009702916,0.0001651765,0.9755821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8426909,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159455934139385,"score_gpt":0.2411068340524697,"score_spread":0.2251612406385312,"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."}}