{"id":"W2587859126","doi":"10.21083/ajote.v5i1.3515","title":"KENYA PRIMARY SCHOOL TEACHERS’ PREPARATION IN ICT TEACHING: TEACHER BELIEFS, ATTITUDES, SELF-EFFICACY, COMPUTER COMPETENCE, AND AGE","year":2017,"lang":"en","type":"article","venue":"African Journal of Teacher Education","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Syllabus; Competence (human resources); Preparedness; Kenya; School teachers; Government (linguistics); Pedagogy; Mathematics education; Computer literacy; Technology integration; Medical education; Psychology; Teaching method; Computer science; Political science; Medicine","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":[0.00251933,0.000186932,0.0003154972,0.000364461,0.0008316117,0.0004113561,0.0008647115,0.0002253022,0.0000366542],"category_scores_gemma":[0.0005864366,0.000184108,0.00008170228,0.0001355809,0.0003002655,0.001153116,0.00009586503,0.0009186247,0.00001050478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006186145,"about_ca_system_score_gemma":0.001512748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008110753,"about_ca_topic_score_gemma":0.0003294382,"domain_scores_codex":[0.9978991,0.0005544643,0.0005247098,0.0002998066,0.0004030441,0.0003188807],"domain_scores_gemma":[0.9982053,0.00008084839,0.0008169639,0.0004952459,0.0001689878,0.000232673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002236393,0.003877598,0.7767881,0.00002158515,0.00009446239,0.000008164423,0.09673614,0.000006849371,0.0002398887,0.007863631,0.01264288,0.1016984],"study_design_scores_gemma":[0.0004353415,0.000147309,0.9574437,0.00008114975,0.00004840486,0.00003015766,0.008317964,0.00001520167,0.00001010217,0.0017406,0.03152167,0.0002083908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955016,0.0005679125,0.0003720982,0.008365207,0.001064077,0.0003710045,4.938721e-7,0.00007114022,0.03417205],"genre_scores_gemma":[0.9818055,0.0001445541,0.01525836,0.0001299285,0.001083587,0.00001637927,0.000005868409,0.00001683986,0.001538997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1806557,"threshold_uncertainty_score":0.7507705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096622401995095,"score_gpt":0.3426801232814035,"score_spread":0.3217138992614526,"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."}}