{"id":"W4416024921","doi":"10.1007/s42438-025-00602-8","title":"A Multidisciplinary Research Agenda for Artificial Intelligence, Education, Learning, and Instruction","year":2025,"lang":"en","type":"article","venue":"Postdigital Science and Education","topic":"Digital Education and Society","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Mittuniversitetet","keywords":"Multidisciplinary approach; Literacy; Lifelong learning; Transformational leadership; Educational research; Stakeholder; Thematic analysis; Underpinning","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":[0.1053622,0.001338442,0.001822744,0.007641298,0.01860664,0.04225661,0.004265598,0.01542202,0.008217011],"category_scores_gemma":[0.03555499,0.0008038009,0.001708095,0.007287729,0.05742825,0.05672668,0.03068305,0.01915785,0.001331837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01956487,"about_ca_system_score_gemma":0.05391625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666673,"about_ca_topic_score_gemma":0.002707303,"domain_scores_codex":[0.9264776,0.05740246,0.002148625,0.004321949,0.005629497,0.004019898],"domain_scores_gemma":[0.8841845,0.08139946,0.00411901,0.00833657,0.01229168,0.009668699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003035723,0.0001338342,0.0009946225,0.0005873194,0.00002082842,0.0001556133,0.03792504,0.0004589066,0.0002880739,0.9176469,0.01007477,0.03168367],"study_design_scores_gemma":[0.00002200314,0.00007417538,0.001076701,0.00280086,0.00003061611,0.0001553366,0.1102479,0.0009226309,0.0003180903,0.6191595,0.2651489,0.0000431732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01451864,0.03773767,0.04031053,0.8288663,0.004100998,0.0003235272,0.00007951789,0.0001470899,0.07391565],"genre_scores_gemma":[0.7964549,0.03436675,0.08220839,0.05692593,0.00489317,0.001721057,0.0002246597,0.0001986366,0.02300659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1053622,"threshold_uncertainty_score":0.5572153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554800896870092,"score_gpt":0.4229983655131722,"score_spread":0.3674503565444712,"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."}}