{"id":"W4401873916","doi":"10.19173/irrodl.v25i3.7785","title":"AI and the Future of Teaching: Preservice Teachers’ Reflections on the Use of Artificial Intelligence in Open and Distributed Learning","year":2024,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Curriculum; Narrative; Computer science; Literacy; Teacher education; Grounded theory; Pedagogy; Qualitative research; Mathematics education; Sociology; Psychology; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009972781,0.00011407,0.000298799,0.000150699,0.0002707962,0.0007440454,0.001849365,0.00004619264,0.00001619981],"category_scores_gemma":[0.004135068,0.0000608127,0.0000451666,0.0009277288,0.0003652878,0.000438776,0.002135353,0.001907495,0.000001335094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000456696,"about_ca_system_score_gemma":0.0001510783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297194,"about_ca_topic_score_gemma":0.0001355639,"domain_scores_codex":[0.9964176,0.002026901,0.0005091075,0.0003118106,0.000541442,0.0001931445],"domain_scores_gemma":[0.9956473,0.003603454,0.000176512,0.0002995195,0.0002294662,0.00004372064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002148611,0.000171366,0.00812909,0.0008775847,0.0001171564,0.00001303016,0.003674359,0.006576112,0.00009243792,0.8119135,0.001064361,0.1671562],"study_design_scores_gemma":[0.0005135974,0.0003385114,0.005019069,0.01595439,0.00003371979,0.00003326921,0.01066865,0.8276971,0.00008036452,0.03360236,0.1058479,0.0002110123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1768091,0.04593902,0.05906584,0.7104188,0.0003638502,0.003830675,0.0001931146,0.00006757223,0.003312059],"genre_scores_gemma":[0.9860783,0.01288644,0.000514593,0.000199318,0.00004754485,0.00003285781,0.00004125478,0.000007503104,0.0001921511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.821121,"threshold_uncertainty_score":0.8287224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1763777877169729,"score_gpt":0.4844324357439642,"score_spread":0.3080546480269913,"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."}}