Qiwei Ge, Xinyu Lu, Run Jiang, Yuyu Zhang, Xun Zhuang
Data mining and machine learning in HIV infection risk research: An overview and recommendations
Artificial intelligence in medicine
research aims investigate impact students language assessment literacy lal cognition study specifically examines different levels lal influence two critical factors test anxiety motivation learn second language achieve research objectives questionnaire administered sample 415 university students china questionnaire utilized fivepoint likert scale assess students levels lal test anxiety motivation learn second language descriptive data examined reveal students proficiency lal along levels test anxiety motivation multilevel regression analyses performed using mplus investigate whether students lal proficiency predict levels test anxiety motivation findings indicated participating students proficiency level approximately 60 content lal questionnaire analysis revealed relationships specific dimensions lal test anxiety second language motivation multilevel regression analysis suggested theoretical knowledge language language learning understanding impact social value language assessments uses assessments enhance learning positively predicted students extrinsic motivation furthermore students understanding uses assessments learn theoretical knowledge language learning identified positive predictors intrinsic motivation additionally observed students lal significantly predict test anxiety findings emphasize significance enhancing students lal due identified relationships lal dimensions motivation learn second language study suggests pedagogical implications improving lal focus specific dimensions positively impact students motivation absence significant relationship lal dimensions test anxiety prompts exploration consideration additional factors influencing students anxiety language assessments