{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517084,0.0002027001,0.0003011872,0.0000971883,0.0003567335,0.0004267296,0.001130643,0.00007758636,0.00002767011],"category_scores_gemma":[0.002785733,0.0001055806,0.00005799852,0.0004889209,0.0001338803,0.000480635,0.00138429,0.0004205225,0.00003386939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002394551,"about_ca_system_score_gemma":0.00007302206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000438216,"about_ca_topic_score_gemma":0.00001096953,"domain_scores_codex":[0.997916,0.00032648,0.0003101269,0.0007295269,0.0003345096,0.0003833476],"domain_scores_gemma":[0.9972088,0.001418674,0.0001512246,0.0009411042,0.0001302082,0.0001499389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005091953,0.0002700613,0.0077233,0.00002872654,0.0006961201,0.0000433074,0.009812803,0.02330801,0.009860975,0.05550012,0.0003562278,0.8923494],"study_design_scores_gemma":[0.0006365251,0.00008669704,0.0001170527,0.00007585485,0.00009162057,0.00001004567,0.0009486455,0.994971,0.0002411023,0.001511808,0.00105695,0.0002527494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038678,0.0001066763,0.8864605,0.008851266,0.0001260938,0.0001572609,0.000003466003,0.0001166866,0.0003102545],"genre_scores_gemma":[0.7199323,0.00003865075,0.2767389,0.0007701037,0.0002503951,0.000002203195,0.000001011838,0.00001626804,0.002250177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9716629,"threshold_uncertainty_score":0.4305454,"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."}}