{"id":"W4401873420","doi":"10.19173/irrodl.v25i3.7708","title":"“To Use or Not to Use?” A Mixed-Methods Study on the Determinants of EFL College Learners’ Behavioral Intention to Use AI in the Distributed Learning Context","year":2024,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foundation of Henan Educational Committee","keywords":"Context (archaeology); Psychology; Electronic learning; Mathematics education; Educational technology; Multimethodology; Distance education; Instructional design; Computer-mediated communication; Computer science; Pedagogy; World Wide Web; The Internet","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01410842,0.0001930838,0.0003829846,0.0004897555,0.0003114879,0.001358794,0.002553672,0.00004834561,0.00008521696],"category_scores_gemma":[0.01635322,0.0001091526,0.0001258924,0.00263302,0.0001179344,0.0006824699,0.001514508,0.001380744,0.00004510066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153082,"about_ca_system_score_gemma":0.0002354613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302585,"about_ca_topic_score_gemma":0.001035999,"domain_scores_codex":[0.9921135,0.005130847,0.000823511,0.0005323248,0.001026183,0.0003736168],"domain_scores_gemma":[0.9919338,0.006548734,0.000175092,0.0005684152,0.0006399055,0.0001340191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369034,0.003019243,0.7015954,0.001107999,0.0002418349,0.0002412313,0.02927903,0.001906438,0.0006409234,0.04401905,0.02942654,0.1871533],"study_design_scores_gemma":[0.0007129051,0.002334655,0.7618369,0.02069644,0.00003607355,0.00004059076,0.05206874,0.01200385,0.0001733968,0.0001024368,0.1496751,0.0003188416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539559,0.0002319759,0.01249054,0.03016351,0.0003049204,0.002679726,0.0001105555,0.00002826629,0.0000345321],"genre_scores_gemma":[0.9965067,0.000292804,0.0006886738,0.0008230484,0.00001499994,0.0003781047,0.00004374889,0.00001536043,0.001236557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1868345,"threshold_uncertainty_score":0.9996779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2831968720493134,"score_gpt":0.5568656582643878,"score_spread":0.2736687862150745,"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."}}