{"id":"W4229456833","doi":"10.1111/bjet.13232","title":"Teachers' trust in <scp>AI</scp> ‐powered educational technology and a professional development program to improve it","year":2022,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":446,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation","keywords":"Professional development; Psychology; Educational technology; Computer science; Mathematics education; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0136844,0.0001854721,0.0003062988,0.0008252564,0.002674562,0.004979991,0.0007291829,0.001229664,0.003360911],"category_scores_gemma":[0.05751511,0.0004280307,0.0003281732,0.0004061193,0.002412244,0.002641851,0.003506032,0.002014394,0.000657014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00371308,"about_ca_system_score_gemma":0.005427826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005955767,"about_ca_topic_score_gemma":0.006111532,"domain_scores_codex":[0.9798611,0.01359297,0.0008208434,0.0009776604,0.00343492,0.001312514],"domain_scores_gemma":[0.9196897,0.04608918,0.01092722,0.005275131,0.008841814,0.009176971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004089303,0.004459577,0.2039955,0.0007955271,0.00007821959,0.001380666,0.5597615,0.001725112,0.01139861,0.01260345,0.009069367,0.1943237],"study_design_scores_gemma":[0.0003376031,0.003193265,0.3161191,0.001497463,0.0001926641,0.001266093,0.5085348,0.01995812,0.01367392,0.01104279,0.123882,0.0003021156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974727,0.0001507471,0.004962141,0.003332417,0.00002426676,0.0001228516,0.00001262369,0.00008574726,0.01658217],"genre_scores_gemma":[0.9979978,0.00004971024,0.001046225,0.00009037024,0.000002517409,0.00003241999,0.000004232077,0.000005448531,0.0007711903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0136844,"threshold_uncertainty_score":0.07237095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006970709149090312,"score_gpt":0.2986372079026554,"score_spread":0.2916664987535651,"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."}}