{"id":"W1485994423","doi":"","title":"Synchronous Hybrid Learning Environments: Perspectives on Learning, Instruction, and Technology in Unique Educational Contexts","year":2015,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Educational technology; Experiential learning; Active learning (machine learning); Computer science; Mathematics education; Pedagogy; Knowledge management; Sociology; Psychology; 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":[0.001148077,0.0003474086,0.0002819384,0.0008786132,0.001601538,0.008390719,0.0008900368,0.001502327,0.004867038],"category_scores_gemma":[0.001510356,0.0001621319,0.0002469846,0.0009887839,0.004794427,0.006113564,0.004216795,0.0009981195,0.000359552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042389,"about_ca_system_score_gemma":0.0009418637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006158286,"about_ca_topic_score_gemma":0.001312833,"domain_scores_codex":[0.9989281,0.0006599983,0.00002585723,0.0001031254,0.0001387689,0.0001442135],"domain_scores_gemma":[0.9982935,0.001018345,0.0001263702,0.0001086803,0.000107585,0.000345552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002475735,0.0002297456,0.007137608,0.0005333541,0.00004600776,0.001321261,0.0864407,0.001922918,0.003688868,0.7701978,0.004882861,0.1233513],"study_design_scores_gemma":[0.00009825669,0.0005984181,0.01690517,0.0007220462,0.0001223637,0.003721009,0.2702795,0.008576294,0.004750735,0.4266512,0.2674842,0.00009074476],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4471036,0.02171505,0.08246648,0.01426346,0.0009093694,0.00006131618,0.0001547512,0.0002785247,0.4330474],"genre_scores_gemma":[0.9877885,0.001804412,0.003014747,0.0002166183,0.0001249725,0.00003137806,0.00001716751,0.00001884896,0.006983398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008390719,"threshold_uncertainty_score":0.0162819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123784021928295,"score_gpt":0.3127809203641105,"score_spread":0.300402518171281,"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."}}