{"id":"W3194345283","doi":"10.5539/ies.v14n9p15","title":"Factors That Influence English Teachers’ Acceptance and Use of E-Learning Technologies","year":2021,"lang":"en","type":"article","venue":"International Education Studies","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Context (archaeology); Educational technology; Globe; Higher education; Technology integration; Unified theory of acceptance and use of technology; Psychology; Technology acceptance model; Mathematics education; Emerging technologies; Sociology; Pedagogy; Public relations; Social influence; Political science; Social psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0002816545,0.0001084535,0.0001990103,0.0003099835,0.0001121303,0.0001282602,0.0003434094,0.00008975896,0.00006805003],"category_scores_gemma":[0.03035473,0.00008474478,0.00004999778,0.0003920528,0.0003129836,0.0006755132,0.0003145415,0.000206162,0.000007740353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000488284,"about_ca_system_score_gemma":0.00009986702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166747,"about_ca_topic_score_gemma":0.0000285832,"domain_scores_codex":[0.9986634,0.00006308723,0.0003392821,0.0003255502,0.0005126708,0.00009602659],"domain_scores_gemma":[0.9950861,0.0008066932,0.0002858176,0.0002509701,0.003549631,0.00002081049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002151191,0.00005206191,0.9644675,0.000001499217,0.00004182316,6.297618e-7,0.004490235,0.00001408698,0.0001901589,0.002589065,0.001351626,0.02679919],"study_design_scores_gemma":[0.00007055357,0.000009290685,0.8016286,0.00002699683,0.000008651954,0.000003081904,0.1379019,0.000007363806,0.00319328,0.003551612,0.05351746,0.0000811529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947146,0.001291078,0.0001253278,0.002044031,0.001416422,0.0000455485,0.000007516386,0.0001497939,0.0002057247],"genre_scores_gemma":[0.9936091,0.0005772159,0.001713218,0.00007894372,0.00001290877,0.00001697301,0.000004414552,0.000004966673,0.003982282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1628388,"threshold_uncertainty_score":0.977813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360834371099865,"score_gpt":0.451959807630678,"score_spread":0.2158763705206915,"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."}}