{"id":"W4392153281","doi":"10.1109/upcon59197.2023.10434888","title":"Improving Personalized Education: A Machine Learning Method for Flexible Learning Environments","year":2023,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Personalized learning; Artificial intelligence; Machine learning; Robot learning; Human–computer interaction; Multimedia; Teaching method; Open learning; Mathematics education; Robot; Cooperative learning; Mobile robot","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":[0.001946001,0.0007543816,0.0006964264,0.00108221,0.0009649806,0.002034249,0.001765201,0.001319559,0.008333903],"category_scores_gemma":[0.007670511,0.0004626064,0.001016813,0.001268269,0.0009081742,0.003081328,0.002806532,0.001977825,0.002088197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009757455,"about_ca_system_score_gemma":0.0009051583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380676,"about_ca_topic_score_gemma":0.001856411,"domain_scores_codex":[0.9980562,0.0007531678,0.0001059903,0.0004669533,0.0004907022,0.0001270765],"domain_scores_gemma":[0.9975935,0.001165809,0.0001325648,0.0007292457,0.0002617507,0.0001170614],"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":[0.0001489822,0.0003152307,0.001859792,0.000211321,0.00006395631,0.0001696427,0.0009058528,0.07470855,0.00480157,0.04148576,0.005980439,0.8693489],"study_design_scores_gemma":[0.000106429,0.0003091383,0.002056066,0.0001475677,0.0001087233,0.0004125983,0.0003898445,0.7905278,0.01148677,0.1340842,0.06027153,0.00009941591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005070116,0.000102446,0.989026,0.0002026259,0.00005081949,0.0001302731,0.00004939287,0.001832779,0.003535522],"genre_scores_gemma":[0.1602149,0.0002144822,0.8321398,0.0001771365,0.00006850885,0.0004789053,0.0001536128,0.0003528075,0.006199821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008333903,"threshold_uncertainty_score":0.02787966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010527971335934,"score_gpt":0.3227371523356509,"score_spread":0.3026318726222916,"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."}}