{"id":"W2960578581","doi":"10.5430/wje.v9n4p30","title":"Impact of Using Technology on Teacher-Student Communication/Interaction: Improve Students Learning","year":2019,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology integration; Psychology; Narrative; Perception; Mathematics education; Educational technology; Information and Communications Technology; Sample (material); Technology acceptance model; Pedagogy; Computer science; Usability","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":[0.001224816,0.0004372062,0.0003143058,0.0008068868,0.0008801952,0.003044225,0.0004502604,0.0007472133,0.006196007],"category_scores_gemma":[0.005790836,0.000138902,0.0005459441,0.0005158841,0.000438033,0.001556182,0.001985124,0.0007411551,0.001003444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621569,"about_ca_system_score_gemma":0.001091383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005598217,"about_ca_topic_score_gemma":0.0006851494,"domain_scores_codex":[0.9969024,0.001475675,0.0001834266,0.0002783998,0.000713545,0.0004465906],"domain_scores_gemma":[0.9951636,0.002279764,0.000980498,0.0002627914,0.0006155298,0.0006978147],"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":[0.0004982801,0.003164607,0.2458571,0.001926952,0.0001469035,0.002167569,0.05879302,0.001654185,0.02552128,0.003729485,0.003413731,0.6531269],"study_design_scores_gemma":[0.0001137383,0.005461423,0.7170761,0.001542659,0.0005298413,0.003803358,0.1491215,0.004498289,0.03161663,0.004665897,0.08135974,0.0002108924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760341,0.0009196563,0.00280305,0.0008161775,0.00003705978,0.00004464732,0.00004570497,0.0000914208,0.01920812],"genre_scores_gemma":[0.9960401,0.0005968004,0.001501371,0.00006147484,0.00001402916,0.00003055205,0.00003051446,0.000009688125,0.001715558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006196007,"threshold_uncertainty_score":0.02072763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577341275063621,"score_gpt":0.4576732509449979,"score_spread":0.4318998381943617,"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."}}