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ID : 323
Original submission :
Title : Artificial Intelligence Technology for EAP Speaking Skills: Student Perceptions of Opportunities and Challenges
Type : Paper (25 minutes)
Category : Individual session
Abstract :

This study explores university students’ perceptions of computer-assisted language learning (CALL); in particular, the potential of Artificial Intelligence (AI)-assisted mobile applications (apps) to support the development of speaking skills in assessed courses of English for Academic Purposes (EAP) in international Chinese Higher Education. This exploratory mixed methods study first surveyed higher education (HE) students’ perceptions of AI for EAP Speaking Skills needs and experiences. A second qualitative phase consisted in interviewing selected students on themes that emerged from the survey. The results of this study identified the absence of EAP assessment-focused AI applications in the Chinese market; moreover, that currently available apps are perceived as lacking accurate voice recognition and assessment-relevant feedback, and as expensive and dependent on network availability and range. The study contributes to an international focus on integrating real-time, assessment-relevant feedback technology with evidence-based pedagogical approaches to teaching EAP speaking skills, by documenting Chinese student perceived needs of EAP teaching and learning.


Keywords : Artificial Intelligence Technology, EAP speaking
Conference theme :
Presentation times :
Main presenter : Dr. Bin Zou
Name order :
Affiliation : Xi'an Jiaotong-Liverpool University (Suzhou, China)
Email address : bin.zou@xjtlu.edu.cn
Biography :

Dr. Bin Zou received his PhD from the University of Bristol (UK). He has taught EAP at Xi'an Jiaotong-Liverpool University, China since 2008. He is a fellow of UK Higher Education Academy and the Editor-in-Chief of the International Journal of Computer-Assisted Language Learning and Teaching published by IGI Global, USA.

Co-presenters : Co-presenter (2) : Dr. Sara Liviero (Xi'an Jiaotong-Liverpool University)
Added by :
Date added : Saturday, 9 March 2019, 5:55 PM
Date modified : Saturday, 9 March 2019, 5:55 PM
Message from the
Vetting Committee :
Peer review :
Submission status : Accepted
Schedule number : 306-P
Schedule day : Aug 10th (Sat)
Schedule time : 09: 00 - 09: 25
Schedule duration : 25 mins
Schedule room name : B102
Schedule room seats : 40 seats
Schedule audience :