{"id":"W4390430476","doi":"10.4018/979-8-3693-0066-4.ch004","title":"Enhancing Self-Regulated Learning With Artificial Intelligence-Powered Learning Analytics","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in early childhood and K-12 education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Concordia University of Edmonton","funders":"","keywords":"Transformative learning; Learning analytics; Analytics; Intersection (aeronautics); Computer science; Data science; Artificial intelligence; Knowledge management; Engineering; Psychology; Pedagogy","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":[0.0008243847,0.0004161706,0.0002335098,0.0005724757,0.0004640832,0.003731185,0.0008351568,0.0007174614,0.006397598],"category_scores_gemma":[0.001527847,0.0001627002,0.000381081,0.0004586238,0.00144999,0.00423931,0.002668963,0.001644271,0.002086727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008331565,"about_ca_system_score_gemma":0.001206457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004241501,"about_ca_topic_score_gemma":0.0008150082,"domain_scores_codex":[0.9995717,0.0001428141,0.0000118,0.00004957032,0.0001844478,0.00003960316],"domain_scores_gemma":[0.9993081,0.0004796129,0.00002900123,0.00006399719,0.00007003611,0.00004930693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001555364,0.0001131266,0.0005001816,0.0005164539,0.00001464596,0.000147467,0.003999551,0.003757275,0.00362019,0.65938,0.01935475,0.3085809],"study_design_scores_gemma":[0.00001119794,0.00006693559,0.0006750637,0.0007856174,0.00001256667,0.0002768322,0.001499526,0.01285575,0.005227003,0.4030271,0.5755289,0.0000335264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02279778,0.01311975,0.318853,0.009878765,0.0007190645,0.0002634297,0.0001445866,0.001634686,0.632589],"genre_scores_gemma":[0.3838095,0.03561411,0.2860261,0.003453505,0.0007657679,0.00067595,0.0004440488,0.0006558902,0.2885551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006397598,"threshold_uncertainty_score":0.02140212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00857664996571464,"score_gpt":0.2502261036348031,"score_spread":0.2416494536690885,"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."}}