{"id":"W3157373388","doi":"10.4018/978-1-7998-6940-5.ch008","title":"Exploring the Use of Universal Design for Learning to Support In-Service Teachers in the Design of Socially-Just Blended Teaching Practices","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Educational Innovations and Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Blended learning; Diversity (politics); Service-learning; Reflection (computer programming); Knowledge management; Pedagogy; Engineering ethics; Engineering; Sociology; Computer science; Psychology; Educational technology","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":[0.003552717,0.0004202378,0.0002312931,0.0006477571,0.001433168,0.005523377,0.001181914,0.0008907413,0.004290758],"category_scores_gemma":[0.005642931,0.0003049879,0.0004702135,0.0004831923,0.003513635,0.004741103,0.004488545,0.001382127,0.0005918474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142344,"about_ca_system_score_gemma":0.002001505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319496,"about_ca_topic_score_gemma":0.001531142,"domain_scores_codex":[0.9972179,0.001979806,0.00009878506,0.0001560208,0.0003622195,0.0001853121],"domain_scores_gemma":[0.9978566,0.001539817,0.00009171711,0.0001889796,0.0001616523,0.0001612047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009999461,0.000331443,0.002836029,0.001565622,0.00003506986,0.0007165657,0.1555194,0.004450707,0.009956392,0.4051204,0.007376939,0.4119916],"study_design_scores_gemma":[0.00009224723,0.0006981785,0.003249225,0.002375802,0.00008269738,0.00197486,0.0694197,0.01410678,0.009329026,0.1780941,0.7204958,0.00008154512],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2009777,0.004718476,0.5952747,0.004865227,0.0005027808,0.0008566271,0.00006916234,0.0008016991,0.1919336],"genre_scores_gemma":[0.6142351,0.002837873,0.3342203,0.0008623194,0.00004181742,0.0008863311,0.000110822,0.0002990878,0.04650642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005523377,"threshold_uncertainty_score":0.01878881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1901745868560124,"score_gpt":0.3274902322550384,"score_spread":0.137315645399026,"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."}}