{"id":"W2074663968","doi":"10.1002/tl.449","title":"Self‐regulation of learning with computer‐based learning environments","year":2011,"lang":"en","type":"article","venue":"New Directions for Teaching and Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Educational technology; Experiential learning; Active learning (machine learning); Self-regulated learning; Psychology; Computer science; Mathematics education; Human–computer interaction; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003259397,0.0002689055,0.0003479189,0.0003689065,0.001692144,0.00003591543,0.0001092086,0.0001614512,0.0001645007],"category_scores_gemma":[0.0004143135,0.0002560415,0.00009662373,0.0002329529,0.000111123,0.000133087,0.00003043204,0.00250592,0.00001190352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005422216,"about_ca_system_score_gemma":0.00003517405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006735488,"about_ca_topic_score_gemma":0.00000473486,"domain_scores_codex":[0.9957963,0.00276933,0.0003615019,0.0005058918,0.0001841247,0.0003828179],"domain_scores_gemma":[0.998428,0.0008149336,0.0004318479,0.0001782532,0.0000431827,0.0001037986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005223561,0.000454837,0.1717746,0.0001027839,0.0004598093,0.000003596252,0.1022183,0.02889773,0.003106354,0.00570374,0.0001825111,0.6865734],"study_design_scores_gemma":[0.004062128,0.004440101,0.324498,0.0003034268,0.0003250782,0.00006572558,0.007319194,0.05127918,0.0006385192,0.0001369258,0.6060318,0.000899867],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3708361,0.0001039238,0.6145278,0.00003047759,0.0002508316,0.0002185976,5.472805e-7,0.0004425032,0.01358932],"genre_scores_gemma":[0.7515844,0.000002808781,0.2362717,0.00002143744,0.0001841809,0.00002703462,0.00002464121,0.0000635371,0.01182031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6856735,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03413495330654818,"score_gpt":0.3134182946824152,"score_spread":0.279283341375867,"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."}}