{"id":"W4307732762","doi":"10.18608/jla.2022.7571","title":"Examining the Interplay between Self-regulated Learning Activities and Types of Knowledge within a Computer-simulated Environment","year":2022,"lang":"en","type":"article","venue":"Journal of Learning Analytics","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metacognition; Task (project management); Domain knowledge; Self-regulated learning; Computer science; Domain (mathematical analysis); Task analysis; Psychology; Knowledge level; Cognitive psychology; Mathematics education; Cognition; Knowledge management","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006996837,0.00019431,0.0005332408,0.0003955498,0.0005674725,0.00003858578,0.000284783,0.00008342861,0.0002133032],"category_scores_gemma":[0.0002731258,0.0001512679,0.0001055585,0.0004028401,0.0001572259,0.00006445847,0.0002266724,0.003037639,0.000003748896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230545,"about_ca_system_score_gemma":0.00006312328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001733042,"about_ca_topic_score_gemma":3.36426e-7,"domain_scores_codex":[0.9939454,0.004516146,0.0007535127,0.0002007313,0.0003407104,0.0002435173],"domain_scores_gemma":[0.9962674,0.001918632,0.001490981,0.000167267,0.00009610994,0.00005964984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00016988,0.0001810962,0.3319349,0.00003151261,0.001899497,0.00003507601,0.1023236,0.5355167,0.0008895611,0.0002510205,0.0001692374,0.02659795],"study_design_scores_gemma":[0.005166815,0.01386801,0.4677303,0.0005336754,0.002338318,0.001031461,0.09067009,0.3246709,0.0005133749,0.0002384579,0.09203019,0.001208311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982421,0.0004362001,0.01593134,0.00009108476,0.0003333036,0.00006111189,0.000001169268,0.00004229661,0.0006825134],"genre_scores_gemma":[0.994694,0.000008863169,0.003056132,0.0000164661,0.0002287926,9.611279e-7,0.000003642882,0.00003771561,0.001953413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2108457,"threshold_uncertainty_score":0.9992624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237598826035349,"score_gpt":0.3488045816159463,"score_spread":0.3064285933555928,"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."}}