{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009970042,0.0008878282,0.000469592,0.00146677,0.0006760722,0.005028681,0.001013086,0.001345079,0.01467745],"category_scores_gemma":[0.002268743,0.0002883215,0.0004543798,0.002263943,0.002279097,0.006857666,0.002182736,0.002967025,0.005504341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802787,"about_ca_system_score_gemma":0.00106925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183677,"about_ca_topic_score_gemma":0.001193985,"domain_scores_codex":[0.9994034,0.000177952,0.0000309141,0.00009796954,0.0002548831,0.00003499787],"domain_scores_gemma":[0.9990397,0.0006339407,0.00003322403,0.0001273698,0.0001230111,0.00004263902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006499627,0.00002073735,0.0000847698,0.0002395158,0.000006975743,0.00005781222,0.0007999152,0.001202864,0.0003174694,0.8386655,0.04261358,0.1159844],"study_design_scores_gemma":[0.000002463397,0.000007865465,0.000145759,0.0002417415,0.00000322217,0.0001063636,0.0002376542,0.003636925,0.0002499755,0.5740075,0.421351,0.000009585117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00222173,0.05573065,0.3584757,0.01228483,0.001969754,0.0001655969,0.0004250668,0.001856774,0.5668699],"genre_scores_gemma":[0.1342938,0.07589591,0.2754166,0.005791498,0.003315335,0.0008815816,0.001577563,0.001290833,0.5015368],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01467745,"threshold_uncertainty_score":0.04910094,"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."}}