{"id":"W2931343988","doi":"","title":"Comparing Traditional Learning Materials with Those Created with Instructional Design and Universal Design for Learning Attributes: The Students’ Perspective","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Educational Practices and Challenges","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Perspective (graphical); Instructional design; Universal Design for Learning; Mathematics education; Learning design; Educational technology; Psychology; Learning sciences; Pedagogy; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01152341,0.0003032846,0.0004045877,0.002583921,0.00184928,0.007691777,0.001000504,0.001073104,0.003214607],"category_scores_gemma":[0.03888736,0.0002285455,0.0004885726,0.0020184,0.004093498,0.007131578,0.003379154,0.001439056,0.0004299358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003818856,"about_ca_system_score_gemma":0.002542423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487098,"about_ca_topic_score_gemma":0.002291086,"domain_scores_codex":[0.9876521,0.00682332,0.0006999374,0.0004886157,0.00343449,0.0009015634],"domain_scores_gemma":[0.9760794,0.01561817,0.002149356,0.0008987764,0.003954884,0.001299427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004481907,0.002129593,0.1108825,0.003021971,0.0001288147,0.00123285,0.4098878,0.001139577,0.007003614,0.07644655,0.006218676,0.3814599],"study_design_scores_gemma":[0.00009762608,0.00245293,0.1227381,0.00199375,0.0001231386,0.001325829,0.6914136,0.001632035,0.01237103,0.02047902,0.1452501,0.0001226927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917739,0.002276161,0.01562009,0.004317853,0.0002036165,0.0005040944,0.0001004007,0.0000779266,0.085126],"genre_scores_gemma":[0.9878083,0.0007393534,0.007685519,0.0003987505,0.00002220129,0.0001753948,0.00004902098,0.00002761486,0.00309365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152341,"threshold_uncertainty_score":0.06094235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5406480348896981,"score_gpt":0.5709470629651626,"score_spread":0.03029902807546447,"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."}}