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Zahra Fakher Ajabshir

Zahra Fakher Ajabshir

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex: 0/00
Faculty: Faculty of Basic Sciences
Address:
Phone: 04137745000

Research

Title
Review of the Affordances and Challenges of Artificial Intelligence Technologies in Second Language Learning
Type
JournalPaper
Keywords
Artificial intelligence (AI), Automatic speech recognition (ASR), Automatic writing evaluation (AWE), Chatbot, Computerized dynamic assessment, Gamification, Natural language processing (NLP), Virtual reality
Year
2024
Journal Technology Assisted Language Education
DOI
Researchers Zahra Fakher Ajabshir

Abstract

The field of second language (L2) learning has witnessed a significant surge in the utilization of artificial intelligence (AI), which offers a wide range of advantages that can greatly enhance the language acquisition process. AI technology encompasses various applications such as chatbots, virtual tutors, speech recognition systems, language learning apps, and adaptive learning platforms. These advantages of AI in L2 learning provide learners with personalized and interactive experiences, real-time feedback, authentic language input, and the opportunity to practice language skills in a secure and supportive environment. By harnessing the potential of AI, language learners can benefit from tailored instruction, effective assessment, and engaging learning activities, ultimately expediting their proficiency in L2. This study aims to provide a review of AI in the English as a foreign language (EFL) context by summarizing the affordances and challenges associated with six prevailing types of AI technologies, including natural language processing (NLP), automatic writing evaluation (AWE), computerized dynamic assessment, automatic speech recognition (ASR), chatbots, gamification, and virtual reality. Some potential avenues for future research were also recommended to provide fresh perspectives for forthcoming studies