{"id":"W4416041326","doi":"10.1016/j.caeo.2025.100307","title":"Intelligent-TPACK in teacher education: Examining preservice elementary teachers’ emerging views about AI classroom use","year":2025,"lang":"en","type":"article","venue":"Computers and Education Open","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Teaching method; Teacher education; Student teacher; Primary education; Knowledge level; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003427735,0.0001171592,0.0002402369,0.001086352,0.002174288,0.003738262,0.0004594237,0.0006664123,0.001353885],"category_scores_gemma":[0.009286745,0.0002928528,0.0001503865,0.0005587132,0.003360706,0.003359212,0.002900076,0.002530022,0.0002606793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242018,"about_ca_system_score_gemma":0.001619795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006233988,"about_ca_topic_score_gemma":0.0130694,"domain_scores_codex":[0.9984435,0.0006779816,0.0001153109,0.0001805232,0.0003696374,0.0002129206],"domain_scores_gemma":[0.9908297,0.004292404,0.001636658,0.0003833392,0.001451381,0.001406493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004680226,0.0001773597,0.1984969,0.00007162121,0.000007325036,0.0004513185,0.7831345,0.00007483645,0.002053984,0.001836826,0.0003563077,0.0132922],"study_design_scores_gemma":[0.000006601745,0.0001436459,0.09711439,0.00008858192,0.00001222221,0.0005257576,0.8934228,0.0003496864,0.000797675,0.0008659948,0.006652683,0.00002003089],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997025,0.000060585,0.0003134611,0.0002697963,0.000003026668,0.000006370442,0.000005687812,0.000002797102,0.002313347],"genre_scores_gemma":[0.9988028,0.00009800783,0.0001325067,0.00006778801,0.000001787902,0.000007562253,0.000008807893,0.00000276696,0.0008779448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006233988,"threshold_uncertainty_score":0.0181278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05447742741226728,"score_gpt":0.3466822652421671,"score_spread":0.2922048378298998,"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."}}