{"id":"W2579502535","doi":"","title":"Generating learning analytics to improve learners' metacognitive skills using nstudy trace data and the ICAP framework","year":2016,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metacognition; Learning analytics; Computer science; Analytics; TRACE (psycholinguistics); Data analysis; Data science; Psychology; Cognition; 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":[0.001948413,0.0009404778,0.0005501377,0.002152,0.0004873849,0.002203415,0.00133881,0.0006830579,0.002356255],"category_scores_gemma":[0.01231933,0.0002644095,0.0006677837,0.001203186,0.0005808674,0.00289914,0.002262981,0.001444713,0.0004935603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007496579,"about_ca_system_score_gemma":0.002909727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005761393,"about_ca_topic_score_gemma":0.008522912,"domain_scores_codex":[0.999061,0.0003384663,0.00004465401,0.000214625,0.0002738284,0.00006743769],"domain_scores_gemma":[0.9949973,0.002891729,0.0002768468,0.0007230737,0.0009032639,0.0002079057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005178617,0.001494863,0.02008755,0.0004185904,0.0001580192,0.0002751331,0.001254322,0.1229936,0.01283687,0.02598216,0.008296723,0.8056844],"study_design_scores_gemma":[0.00003680027,0.0001748803,0.002469279,0.00004091386,0.00004639058,0.00006693017,0.0002688326,0.9541516,0.01451939,0.02456886,0.003622877,0.00003327971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07854825,0.0001112072,0.9072565,0.0006724793,0.00007042255,0.0003422743,0.0008373339,0.007293866,0.004867623],"genre_scores_gemma":[0.5800656,0.0001180385,0.4160104,0.00007917493,0.00002836633,0.0003205677,0.001047881,0.0002586831,0.002071297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005761393,"threshold_uncertainty_score":0.01145571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600355802460363,"score_gpt":0.3169089075019419,"score_spread":0.2909053494773383,"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."}}