{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181406,0.000167323,0.0002184778,0.0004992606,0.001352889,0.001162596,0.0001825918,0.0004705343,0.003748178],"category_scores_gemma":[0.002832147,0.0002773246,0.0002061221,0.0003037494,0.0005662639,0.0006490954,0.0004118542,0.0005691569,0.000391209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007113964,"about_ca_system_score_gemma":0.00121749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241449,"about_ca_topic_score_gemma":0.03317511,"domain_scores_codex":[0.9996184,0.00009402731,0.00003016863,0.00003598945,0.0001124289,0.0001090789],"domain_scores_gemma":[0.9982131,0.0005356937,0.0005543858,0.00004935959,0.0002807822,0.0003666794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006711681,0.0006581162,0.9280061,0.0001448215,0.00001470951,0.0004821091,0.0522098,0.00003430156,0.001448075,0.0003269842,0.001086844,0.01552106],"study_design_scores_gemma":[0.000009339824,0.0001935612,0.9570743,0.0001353084,0.00001949104,0.0002352599,0.03795535,0.00005859349,0.0003871185,0.0001049047,0.003814219,0.00001249938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996031,0.0002507395,0.00003167216,0.0003241585,0.000007917045,0.00001959207,0.00002194894,0.000002021055,0.003310843],"genre_scores_gemma":[0.9979121,0.0002502523,0.00007988847,0.0000845037,0.000002831566,0.0000146304,0.00002550174,9.913489e-7,0.001629333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241449,"threshold_uncertainty_score":0.02468443,"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."}}