{"id":"W4410074618","doi":"10.33650/ijit.v1i1.3432","title":"Effects of Long-term Professional Development Training in Technology Integration on Teacher and Student Performance","year":2022,"lang":"en","type":"article","venue":"International Journal of Instructional Technology","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University; Louisiana State University","keywords":"Term (time); Training (meteorology); Professional development; Psychology; Mathematics education; Medical education; Pedagogy; Computer science; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003458612,0.00009390461,0.0001586821,0.002022043,0.0001027699,0.00001757759,0.0007995201,0.0000727757,0.0000505217],"category_scores_gemma":[0.0001138578,0.00008857502,0.00004361521,0.0004752442,0.0001014412,0.0002018503,0.0002868231,0.0006778249,0.000001565785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002670895,"about_ca_system_score_gemma":0.000290935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.171248e-7,"about_ca_topic_score_gemma":0.000002866076,"domain_scores_codex":[0.9986266,0.00006472717,0.0005332654,0.0001640684,0.0004996572,0.0001116038],"domain_scores_gemma":[0.9990828,0.00006248692,0.0004699084,0.000089267,0.0002703698,0.00002515012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008194937,0.0008042306,0.2634596,0.00002218491,0.000155859,0.00006521321,0.003519714,0.0005182035,0.00274915,0.1222634,0.00005356766,0.6063069],"study_design_scores_gemma":[0.001813486,0.0008291465,0.9717776,0.0004763637,0.000007818109,0.002395435,0.002676603,0.0005645245,0.01262727,0.004724931,0.001918266,0.0001885179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895229,0.0001052749,0.003531494,0.004118791,0.002539952,0.00008960111,5.722051e-7,0.00002757785,0.0000638495],"genre_scores_gemma":[0.9921165,0.00001737685,0.007512686,0.00006083563,0.00004805586,0.00004154792,0.000002112729,0.000005304407,0.0001956336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7083181,"threshold_uncertainty_score":0.3611984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136258846278393,"score_gpt":0.3170189619871857,"score_spread":0.3033930773593464,"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."}}