{"id":"W4253325898","doi":"10.4018/978-1-5225-7365-4.ch001","title":"Addressing Digital Competencies, Curriculum Development, and Instructional Design in Science Teacher Education","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Practicum; Timeline; Curriculum; Digital literacy; Computer science; Resource (disambiguation); Variety (cybernetics); Process (computing); Mathematics education; Multimedia; Pedagogy; Psychology; World Wide Web","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":[0.00325409,0.0002749442,0.0003031647,0.0008004972,0.001089878,0.003132801,0.0005067053,0.000712843,0.003113899],"category_scores_gemma":[0.00935593,0.0001639683,0.0001542445,0.0006671546,0.001322859,0.001384333,0.002643309,0.001092496,0.0003674582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236523,"about_ca_system_score_gemma":0.003788671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004390491,"about_ca_topic_score_gemma":0.001904324,"domain_scores_codex":[0.9979281,0.001380314,0.00007998489,0.0001227181,0.0002912102,0.0001977047],"domain_scores_gemma":[0.9920824,0.006528915,0.0004484457,0.0001416638,0.0002712925,0.0005273275],"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":[0.00007032781,0.003282631,0.0219784,0.001370647,0.00001185777,0.0003594013,0.07355548,0.0004462019,0.004206757,0.01832139,0.00268581,0.873711],"study_design_scores_gemma":[0.0001703332,0.007236103,0.1961634,0.006565007,0.0001249815,0.003176573,0.3528879,0.003602882,0.02357265,0.04345946,0.3629462,0.00009454304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895955,0.007063422,0.01574881,0.003605867,0.0001400947,0.0006131897,0.00003041584,0.00006175362,0.07678143],"genre_scores_gemma":[0.9443575,0.005148925,0.03317567,0.0009303014,0.00005360421,0.0006894898,0.00004146714,0.00001777498,0.0155852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00325409,"threshold_uncertainty_score":0.01720947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493824209716702,"score_gpt":0.2722408006325037,"score_spread":0.2473025585353367,"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."}}