{"id":"W3084004126","doi":"10.1007/s40593-020-00212-4","title":"Open Learner Models Working in Symbiosis With Self-Regulating Learners: A Research Agenda","year":2020,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Learning analytics; Computer science; Context (archaeology); Educational technology; Mathematics education; Process (computing); Knowledge management; Data science; Psychology","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":[0.008805702,0.0005592291,0.0005979354,0.0005958522,0.001807723,0.01525997,0.003170135,0.00304971,0.007640453],"category_scores_gemma":[0.02616133,0.0003090668,0.0005614816,0.0006805115,0.004875225,0.0204345,0.007784911,0.003241511,0.001192928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625682,"about_ca_system_score_gemma":0.004684527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010559,"about_ca_topic_score_gemma":0.001307038,"domain_scores_codex":[0.9948432,0.002980158,0.0001227978,0.0006572019,0.0008042271,0.000592424],"domain_scores_gemma":[0.9746465,0.01120307,0.002520926,0.003167097,0.002689116,0.005773275],"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":[0.000690622,0.003690487,0.07456891,0.0007896556,0.0004061296,0.0007786879,0.07367026,0.0143603,0.006051732,0.6097528,0.006399447,0.208841],"study_design_scores_gemma":[0.0002476767,0.001069337,0.01140369,0.000766054,0.0002446532,0.0007431445,0.1120156,0.08712268,0.004312838,0.7145706,0.06731576,0.0001878892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7082366,0.004238481,0.1382231,0.04996014,0.0007980273,0.000269693,0.00005752565,0.0003242007,0.09789228],"genre_scores_gemma":[0.9791074,0.0008657587,0.01479386,0.0005305582,0.00007830655,0.0000944813,0.00003002018,0.00002923792,0.00447031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525997,"threshold_uncertainty_score":0.04656959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2191725661841332,"score_gpt":0.4103694396827042,"score_spread":0.191196873498571,"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."}}