{"id":"W2065053989","doi":"10.5539/ies.v5n4p21","title":"Factors Affecting School Administrators’ Choices in Adopting ICT Tools in Schools – The Case of Malaysian Schools","year":2012,"lang":"en","type":"article","venue":"International Education Studies","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Information and Communications Technology; Technology integration; Government (linguistics); Set (abstract data type); ICTS; Investment (military); Process (computing); Task (project management); Business; Teaching method; Psychology; Mathematics education; Knowledge management; Computer science; Engineering; Political science","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":[0.004074855,0.0002078857,0.0002886241,0.001470242,0.003985326,0.004889452,0.0007504227,0.001075016,0.002646025],"category_scores_gemma":[0.008992832,0.0004744016,0.0005005489,0.001475807,0.00263627,0.001792325,0.001805704,0.001345577,0.0003030208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00331273,"about_ca_system_score_gemma":0.004015986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289717,"about_ca_topic_score_gemma":0.03612979,"domain_scores_codex":[0.9938375,0.003496191,0.0003475565,0.0003031367,0.0005752068,0.001440369],"domain_scores_gemma":[0.9901366,0.003305063,0.002961663,0.0002779391,0.001243295,0.002075454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001160032,0.0006781731,0.7347302,0.0001170023,0.00004724846,0.00461564,0.2454318,0.0003173788,0.0009060046,0.001571552,0.0005107414,0.01095828],"study_design_scores_gemma":[0.000008058848,0.0001428511,0.3691238,0.00008395215,0.00003311178,0.0007046587,0.6263255,0.0002880646,0.0003958976,0.0002039816,0.002650771,0.00003937404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989644,0.00003644785,0.00002925985,0.0001916529,0.00000205584,0.000006230595,0.000004574435,9.626405e-7,0.0007644583],"genre_scores_gemma":[0.9996709,0.00005450963,0.00004794158,0.00002803182,0.000001177398,0.000002906865,0.000004412886,8.279999e-7,0.0001894149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289717,"threshold_uncertainty_score":0.04552782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123433985245979,"score_gpt":0.4614589656709761,"score_spread":0.338024980424997,"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."}}