{"id":"W2565058965","doi":"10.5539/ies.v10n1p39","title":"Examining Technology Perception of Social Studies Teachers with Rogers’ Diffusion Model","year":2016,"lang":"en","type":"article","venue":"International Education Studies","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Diffusion of innovations; Early adopter; Mathematics education; Social influence; Educational technology; Perception; Technology integration; Scale (ratio); Pedagogy; Social learning theory; Knowledge management; Sociology; Social psychology; Marketing; Social science; Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0002390383,0.0001394905,0.0001941394,0.0003964299,0.0001582838,0.00002290796,0.0004763008,0.00005852988,0.00001269371],"category_scores_gemma":[0.000618219,0.00009445663,0.00003256406,0.0002977417,0.0002811579,0.0004715876,0.0002091183,0.00008765718,0.00001990794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003890074,"about_ca_system_score_gemma":0.0002171657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005197001,"about_ca_topic_score_gemma":0.000004265844,"domain_scores_codex":[0.9987975,0.00004807303,0.0002901375,0.0003553923,0.0003654311,0.0001434446],"domain_scores_gemma":[0.9974287,0.0001542083,0.00031098,0.0002280784,0.00185516,0.00002288167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003445682,0.0006621534,0.09691695,0.00005344704,0.0007819801,7.823946e-7,0.1007172,0.0004624149,0.02342976,0.06850908,0.01087848,0.6975533],"study_design_scores_gemma":[0.004443733,0.00125429,0.3198005,0.002685624,0.0002708062,0.0001386499,0.5029947,0.01311222,0.009023426,0.1090936,0.03475879,0.002423681],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9075754,0.0003736007,0.0744435,0.01493543,0.00159707,0.000127605,0.000001555188,0.0001250888,0.0008207341],"genre_scores_gemma":[0.9635516,0.0002031077,0.0327183,0.0001301141,0.0001404527,0.0001767254,0.000002345012,0.00001042972,0.003066903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6951296,"threshold_uncertainty_score":0.385183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396882336658836,"score_gpt":0.3726280318035934,"score_spread":0.308659208437005,"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."}}