{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005686719,0.0003867838,0.0003280134,0.002377266,0.0006921702,0.002493743,0.0003752375,0.0008978418,0.002311248],"category_scores_gemma":[0.01608459,0.0003046876,0.0008835575,0.001114355,0.001009011,0.00256285,0.001155649,0.0009084906,0.0003304163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008827767,"about_ca_system_score_gemma":0.0008979765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182777,"about_ca_topic_score_gemma":0.001517474,"domain_scores_codex":[0.9961383,0.00193245,0.0003120159,0.0002947609,0.001018775,0.0003036438],"domain_scores_gemma":[0.9863755,0.009842949,0.001569957,0.000410697,0.001462439,0.0003384193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003058338,0.001195407,0.5861547,0.0006750708,0.0001480198,0.001000175,0.2643687,0.001993174,0.006843281,0.0168097,0.001156717,0.1193494],"study_design_scores_gemma":[0.0001324184,0.002324771,0.436677,0.0009364819,0.0002967492,0.002289052,0.4859549,0.02505689,0.005265807,0.01435963,0.02645302,0.0002532651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981876,0.0003699519,0.006686577,0.0005854251,0.00001720342,0.0001870105,0.00003508453,0.00001909653,0.01022375],"genre_scores_gemma":[0.9975503,0.0002668345,0.001452681,0.00003495717,0.000005333335,0.00007122088,0.00001853047,0.000003982688,0.000596187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005686719,"threshold_uncertainty_score":0.0300746,"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."}}