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Kyung-Mi O. – Language Testing in Asia, 2024
This study examines the efficacy of artificial intelligence (AI) in creating parallel test items compared to human-made ones. Two test forms were developed: one consisting of 20 existing human-made items and another with 20 new items generated with ChatGPT assistance. Expert reviews confirmed the content parallelism of the two test forms.…
Descriptors: Comparative Analysis, Artificial Intelligence, Computer Software, Test Items
Suthathip Thirakunkovit – Language Testing in Asia, 2025
Establishing a cut score is a crucial aspect of the test development process since the selected cut score has the potential to impact students' performance outcomes and shape instructional strategies within the classroom. Therefore, it is vital for those involved in test development to set a cut score that is both fair and justifiable. This cut…
Descriptors: Cutting Scores, Culture Fair Tests, Language Tests, Test Construction
Alireza Ahmadi – Language Testing in Asia, 2024
The shift of focus from a cognitive to social view has drawn the attention of second language assessment researchers to delve into interactional competence as an intriguing topic in paired oral tests. To fill the gap on how interactional patterns compare across L1 and L2 interactions this study was specifically set to explore and compare 45 paired…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Native Language
Masumeh Rahimivand; Saeideh Ahangari; Nasrin Hadidi Tamjid – Language Testing in Asia, 2025
Writing comprehensibly, dynamically, and persuasively in a foreign language is a significant challenge for learners. Written communication assesses language and writing progress for various summative and developmental goals. Scenario-based assessment (SBA), as one of the methodologies of classroom-based assessment (CBA), aims to elicit both…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Shoeb Saleh; Abdullah Ibrahim Alsubhi – Language Testing in Asia, 2025
This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…
Descriptors: Self Esteem, Writing Skills, Artificial Intelligence, English (Second Language)
Khaled Ahmed Abdel-Al Ibrahim; Mohamed Ali Mohamed Kassem; Desta Lami – Language Testing in Asia, 2024
Few empirical research has attempted to determine the impact of Intelligent Computer-Assisted Language Assessment (ICALA) in philosophy-based language instruction (PBLI) on critical thinking, self-evaluation, and academic resilience, despite the significant role that higher-order thinking skills play in influencing English as a Foreign Language…
Descriptors: Computer Assisted Testing, Second Language Learning, Second Language Instruction, English (Second Language)
Shireen Jamal Mohammed; Maryam Waleed Khalid – Language Testing in Asia, 2025
While over the last couple of years, there has been a growing investigation into the use of Artificial Intelligence (AI) within language learning, very little has been written regarding how such AI feedback influences the complex experiences of EFL learners in terms of motivation, foreign language peace of mind (FLPoM), trait emotional…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Software, English (Second Language)