{"id":"W2780627324","doi":"","title":"Teachers’ Perceptions of Learning with Information Technology in Mathematics and Science Education","year":2014,"lang":"en","type":"article","venue":"Journal of Computing in Teacher Education","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Perception; IBM; Thematic analysis; Educational technology; Work (physics); Information technology; Pedagogy; Psychology; Sociology; Computer science; Qualitative research; Engineering; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004041249,0.0002577276,0.0003791914,0.001314105,0.002190099,0.005323629,0.0005430171,0.000996743,0.004401901],"category_scores_gemma":[0.01387855,0.0003830664,0.0003237067,0.0009798309,0.002354708,0.002001431,0.002233802,0.001498326,0.0007555597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764456,"about_ca_system_score_gemma":0.002063171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009815186,"about_ca_topic_score_gemma":0.01051046,"domain_scores_codex":[0.9959866,0.001938691,0.0002388072,0.0002225991,0.001043424,0.0005698272],"domain_scores_gemma":[0.985303,0.007347047,0.002233736,0.0003468608,0.001922672,0.002846657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001550971,0.0009921895,0.203335,0.0002926637,0.00002740286,0.001081512,0.7667402,0.0002630056,0.004331094,0.00166013,0.001131044,0.01999065],"study_design_scores_gemma":[0.00004075158,0.0005277879,0.1368561,0.0002827208,0.00004786097,0.0006765494,0.8352367,0.0007724031,0.001908568,0.0006124983,0.022983,0.00005503387],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943118,0.0001419285,0.0004103525,0.0004517241,0.000009340313,0.00001852634,0.00001634407,0.000009605373,0.004630251],"genre_scores_gemma":[0.9977174,0.0002169998,0.0001730676,0.00006645241,0.000004878954,0.0000173002,0.00001489579,0.000004684309,0.001784436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009815186,"threshold_uncertainty_score":0.02137244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009238679446251117,"score_gpt":0.32693437952933,"score_spread":0.3176957000830788,"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."}}