{"id":"W2156059217","doi":"10.5539/ies.v2n4p3","title":"Understanding the Technology Enhanced Learning Environments from A Cognitive Perspective","year":2009,"lang":"en","type":"article","venue":"International Education Studies","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Cognition; Cognitive architecture; Computer science; Architecture; Cognitive science; Learning sciences; Human–computer interaction; Conceptual framework; Psychology; Educational technology; Knowledge management; Mathematics education; Artificial intelligence; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374652,0.0005324812,0.0002366122,0.001482343,0.000807222,0.007242981,0.001172108,0.0016296,0.003252443],"category_scores_gemma":[0.001954783,0.0002304034,0.0004502353,0.0009300098,0.007426875,0.009687562,0.002485029,0.00190747,0.0003220331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230558,"about_ca_system_score_gemma":0.001222785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023815,"about_ca_topic_score_gemma":0.0008758006,"domain_scores_codex":[0.99921,0.0003652884,0.00003703926,0.0000922906,0.0001965945,0.00009886052],"domain_scores_gemma":[0.9988851,0.0006976104,0.0001234183,0.00008570176,0.00009969929,0.0001085301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004574242,0.00002026956,0.0002060361,0.00009930435,0.000003658877,0.00007940818,0.003536287,0.001496792,0.0003395767,0.9819959,0.0002919667,0.01192616],"study_design_scores_gemma":[0.00001324608,0.00006127214,0.001097105,0.0003008325,0.00001104312,0.0003624928,0.005722019,0.005132808,0.0006216902,0.9178692,0.06878538,0.00002299358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05575911,0.008112255,0.6412789,0.01439965,0.0002832974,0.000145227,0.00008463895,0.0001575153,0.2797794],"genre_scores_gemma":[0.832071,0.006322827,0.145641,0.001129013,0.0002171482,0.0004029148,0.00007822667,0.00005417482,0.01408364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007242981,"threshold_uncertainty_score":0.01088053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402649855725691,"score_gpt":0.4575797510679028,"score_spread":0.3173147654953337,"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."}}