{"id":"W4394572777","doi":"10.1177/00472395241238693","title":"Learner Experiences of Mobile Apps and Artificial Intelligence to Support Additional Language Learning in Education","year":2024,"lang":"en","type":"article","venue":"Journal of Educational Technology Systems","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Mobile apps; Multimedia; Mobile device; Language acquisition; Human–computer interaction; Artificial intelligence; World Wide Web; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002705177,0.0002924186,0.0002455745,0.0004689787,0.001171755,0.003077033,0.0004811202,0.0006902872,0.001555933],"category_scores_gemma":[0.009309331,0.0002055258,0.0002679487,0.0002585191,0.001013599,0.002234854,0.002244865,0.0008104622,0.0003535144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004989321,"about_ca_system_score_gemma":0.00086394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671301,"about_ca_topic_score_gemma":0.002910842,"domain_scores_codex":[0.9980534,0.001140695,0.00007997739,0.00009601627,0.0004051444,0.0002247709],"domain_scores_gemma":[0.9959501,0.002545097,0.000458409,0.0001504804,0.0003672305,0.00052863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002342065,0.001507034,0.1426581,0.0004042865,0.00006305952,0.002141183,0.7078907,0.0005210917,0.005186804,0.00306104,0.002592406,0.13374],"study_design_scores_gemma":[0.00006440505,0.003021254,0.1302343,0.0006202983,0.0001684077,0.004704372,0.7582643,0.003236149,0.008442471,0.001789905,0.08926762,0.0001864384],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957823,0.0001581545,0.0005380683,0.0002649954,0.000007018115,0.00001857443,0.0000139318,0.00001494051,0.003202144],"genre_scores_gemma":[0.9966325,0.0002721954,0.0008950272,0.0001393718,0.000005485342,0.00002144621,0.00002135933,0.000008485337,0.002004182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003077033,"threshold_uncertainty_score":0.01430649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187541760571042,"score_gpt":0.3266676545737645,"score_spread":0.314792236968054,"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."}}