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Advancing Language Assessment with AI and ML--Leaning into AI Is Inevitable, but Can Theory Keep Up?
Peer reviewed
Direct linkXiaoming 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
Xu, Jing – Language Assessment Quarterly, 2018
In vocabulary research there has been a shift from focusing on single words to considering multiword sequences, such as collocations. Despite the general consensus among language researchers that collocation is essential to effective language use in real-world communication, particularly oral communication, language-testing researchers have made…
Descriptors: Communicative Competence (Languages), Language Tests, Second Language Learning, Second Language Instruction
