{"id":"W2768288880","doi":"10.19173/irrodl.v18i7.3037","title":"Designing Authentic Learning Activities to Train Pre-Service Teachers About Teaching Online","year":2017,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Authentic learning; Educational technology; Instructional design; Synchronous learning; Higher education; Blended learning; Computer science; Experiential learning; Active learning (machine learning); Mathematics education; Teaching method; Multimedia; Pedagogy; Psychology; Cooperative learning","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":[0.004493597,0.0001990937,0.0002556011,0.0004605635,0.001493873,0.002148419,0.00117525,0.0009706421,0.002569299],"category_scores_gemma":[0.0112805,0.0002656162,0.0002742044,0.0003164022,0.001066033,0.002315798,0.002371712,0.001056058,0.001218624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005577094,"about_ca_system_score_gemma":0.003217909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004127706,"about_ca_topic_score_gemma":0.001271802,"domain_scores_codex":[0.9968036,0.002126667,0.0001351881,0.0002093292,0.0003383594,0.0003868917],"domain_scores_gemma":[0.9939798,0.002810392,0.0006625359,0.0004021964,0.0006923797,0.001452725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003333649,0.008306653,0.04878219,0.002473987,0.00004381199,0.001236556,0.1505469,0.001437696,0.01559352,0.008797235,0.008077263,0.7543708],"study_design_scores_gemma":[0.0006537671,0.01059694,0.0997839,0.003303793,0.0001666919,0.003661678,0.4364415,0.006624577,0.03259534,0.02804451,0.3779417,0.0001855247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123329,0.001193889,0.06290409,0.00155031,0.000124454,0.001585469,0.00002558799,0.0002010823,0.02008231],"genre_scores_gemma":[0.906539,0.00159119,0.08401289,0.0003709539,0.00002739151,0.0009291504,0.00006925075,0.00003094189,0.006429323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004493597,"threshold_uncertainty_score":0.02376467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101187433911044,"score_gpt":0.499171268119145,"score_spread":0.3890525247280406,"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."}}