{"id":"W4414149828","doi":"10.1111/ejed.70241","title":"Exploring Chinese Secondary <scp>EFL</scp> Students' Self‐Regulated Learning and Task Engagement in <scp>AI</scp> ‐Assisted Classrooms: A Latent Growth Curve Modelling Study","year":2025,"lang":"en","type":"article","venue":"European Journal of Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Education Department of Henan Province","keywords":"Latent growth modeling; Task (project management); Metacognition; Reciprocal; Structural equation modeling; Task analysis; Comprehension; Longitudinal study","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":[0.00166308,0.0004415029,0.0002940502,0.001200826,0.0007175291,0.00146796,0.0006085997,0.0003768295,0.002043076],"category_scores_gemma":[0.003823534,0.0002142607,0.0004987752,0.001093205,0.0006203478,0.0007607355,0.001239307,0.0006851249,0.0003804649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510121,"about_ca_system_score_gemma":0.00239213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02666588,"about_ca_topic_score_gemma":0.02941245,"domain_scores_codex":[0.9995498,0.0001051904,0.00002931317,0.0001086118,0.0001173741,0.00008968248],"domain_scores_gemma":[0.9974268,0.0009175488,0.0005650704,0.0002836295,0.0004092375,0.0003977098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001098755,0.0005993556,0.9560273,0.00004061755,0.00004077824,0.0001709934,0.01725694,0.001249926,0.001970897,0.000786552,0.0002563331,0.02149054],"study_design_scores_gemma":[0.000005844384,0.0001813352,0.9772838,0.00002052197,0.00001650058,0.00004916776,0.009021806,0.01145489,0.0009971131,0.0003571208,0.000590655,0.00002124027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994487,0.000004380901,0.0002485065,0.00001099589,3.285252e-7,0.00001121282,0.00004867645,0.000004264535,0.000222973],"genre_scores_gemma":[0.9992613,0.000008300246,0.0003039939,0.000002538608,2.884326e-7,0.00003062024,0.0001200393,0.000002704917,0.000270214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02666588,"threshold_uncertainty_score":0.05302131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195067196193264,"score_gpt":0.2966287756900404,"score_spread":0.2646781037281077,"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."}}