{"id":"W2569549648","doi":"10.1007/s40593-016-0131-y","title":"Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity","year":2017,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Generality; Leverage (statistics); Granularity; Learning environment; Human–computer interaction; Machine learning; Mathematics education","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":[0.009936245,0.0008111433,0.001075391,0.002029757,0.0009525352,0.005464082,0.002688649,0.001561922,0.001558597],"category_scores_gemma":[0.03811331,0.0005629323,0.001642456,0.001844292,0.001237504,0.006283063,0.004280508,0.002317145,0.0003750385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548926,"about_ca_system_score_gemma":0.002784739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207379,"about_ca_topic_score_gemma":0.0095719,"domain_scores_codex":[0.9944946,0.002809521,0.0005693383,0.0008213422,0.001007834,0.0002974076],"domain_scores_gemma":[0.9743998,0.01597691,0.001154013,0.005320088,0.002393731,0.0007554208],"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":[0.001958153,0.001526259,0.042846,0.0004935397,0.0005888438,0.0002990029,0.005966498,0.4051037,0.01766799,0.07191338,0.002583718,0.4490529],"study_design_scores_gemma":[0.00004422462,0.000142724,0.001516596,0.00004241816,0.00008649996,0.00005708755,0.0004947015,0.9705718,0.004249177,0.02075804,0.002000741,0.00003598661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06603375,0.0000902212,0.9303643,0.00041395,0.00002440568,0.0002188034,0.0002677651,0.001762895,0.0008239044],"genre_scores_gemma":[0.5025643,0.00009365473,0.4957653,0.00009828812,0.00001549672,0.0002159372,0.0004829066,0.0002676491,0.0004965034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01207379,"threshold_uncertainty_score":0.05254853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2928015355692027,"score_gpt":0.4329109154882736,"score_spread":0.1401093799190709,"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."}}