{"id":"W2201285025","doi":"10.5539/ies.v8n11p1","title":"Use of Blended Learning for Effective Implementation of English-Medium Instruction in a Non-English Higher Education Context","year":2015,"lang":"en","type":"article","venue":"International Education Studies","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"EMI; Context (archaeology); Internationalization; Internationalization of Higher Education; Mathematics education; Blended learning; Higher education; Computer science; Pedagogy; Psychology; Political science; Business; Educational technology; Telecommunications; Electromagnetic interference","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":[0.004741411,0.0004743343,0.0003460508,0.0008306753,0.001331969,0.003152495,0.001504206,0.0007531906,0.003315749],"category_scores_gemma":[0.01109932,0.000281183,0.0005107268,0.0006505483,0.0007086874,0.002724885,0.00432026,0.001086353,0.0008176152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647098,"about_ca_system_score_gemma":0.005134023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009056299,"about_ca_topic_score_gemma":0.001316289,"domain_scores_codex":[0.9967085,0.001657901,0.000202151,0.0003685311,0.0007047034,0.0003582635],"domain_scores_gemma":[0.9959584,0.001627514,0.0005159669,0.0006387401,0.0004248686,0.0008344259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003978423,0.01080143,0.01339034,0.0003451464,0.00003808554,0.0002539389,0.01191521,0.002180369,0.007739575,0.007622574,0.001872353,0.9434431],"study_design_scores_gemma":[0.00373947,0.04798021,0.2519454,0.004121447,0.0007245059,0.002256561,0.1043524,0.1871083,0.1349457,0.0772279,0.1849627,0.0006354949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005489,0.000148676,0.06869549,0.001567392,0.00007939535,0.001862409,0.00006870957,0.0005209738,0.02650804],"genre_scores_gemma":[0.9101464,0.0001108673,0.08677747,0.0001214253,0.00001012705,0.0008400523,0.00003852871,0.00002923812,0.001925989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004741411,"threshold_uncertainty_score":0.02507532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06745577379359256,"score_gpt":0.3678838342868776,"score_spread":0.300428060493285,"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."}}