{"id":"W2964619789","doi":"10.18608/jla.2019.62.7","title":"nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning","year":2019,"lang":"en","type":"article","venue":"Journal of Learning Analytics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":51,"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; Computer science; Metacognition; Process (computing); Analytics; Self-regulated learning; Software analytics; Educational technology; Data science; Open learning; Scalability; TRACE (psycholinguistics); Software; Human–computer interaction; Cognition; Mathematics education; Cooperative learning; Teaching method; Psychology; Software development; Software development process; Database","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":[0.002927213,0.00167524,0.0008616725,0.001625906,0.0005813426,0.002322106,0.002854432,0.0009606343,0.02351856],"category_scores_gemma":[0.01232533,0.001097236,0.001988165,0.001202477,0.00103682,0.004937411,0.004436178,0.003294919,0.007514435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099909,"about_ca_system_score_gemma":0.001997615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004220752,"about_ca_topic_score_gemma":0.00462258,"domain_scores_codex":[0.9989867,0.0001960477,0.0001669465,0.0002591003,0.00030521,0.00008601304],"domain_scores_gemma":[0.9941031,0.003914373,0.0003682544,0.0009260886,0.000453931,0.0002343797],"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":[0.003330758,0.0008391979,0.01997674,0.005327124,0.0008340816,0.0009539774,0.007628471,0.03205212,0.02612804,0.1056601,0.3893211,0.4079483],"study_design_scores_gemma":[0.0007963442,0.0004072312,0.01566534,0.001215502,0.0002351301,0.0005733367,0.0006371513,0.2545587,0.03082115,0.1781838,0.5164263,0.0004799967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009436471,0.0002732096,0.5388007,0.0006315178,0.0002560428,0.001032165,0.02325646,0.4175476,0.008765779],"genre_scores_gemma":[0.1275139,0.001011026,0.7055863,0.001521679,0.0001688458,0.008004269,0.05692851,0.08105233,0.01821322],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02351856,"threshold_uncertainty_score":0.07867742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397613343434567,"score_gpt":0.2794756311545888,"score_spread":0.2654994977202432,"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."}}