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Advancing Language Assessment with AI and ML--Leaning into AI Is Inevitable, but Can Theory Keep Up?
Xiaoming Xi – Language Assessment Quarterly, 2023
Following the burgeoning growth of artificial intelligence (AI) and machine learning (ML) applications in language assessment in recent years, the meteoric rise of ChatGPT and its sweeping applications in almost every sector have left us in awe, scrambling to catch up by developing theories and best practices. This special issue features studies…
Descriptors: Artificial Intelligence, Theory Practice Relationship, Language Tests, Man Machine Systems
L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
Liang, Yaqing; Li, Yanzhi; Sang, Zhonggang – Language Assessment Quarterly, 2023
This study investigated how peer-mediated Dynamic Assessment (DA) unfolded in translation revision competence (TRC) of students of Master's degree of Translation and Interpreting (MTI) in China. Thirty subjects first completed three revision tasks and were then rated as high- or low-level performers according to their average scores across the…
Descriptors: Translation, Student Evaluation, Peer Evaluation, Revision (Written Composition)

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