Exploring English Language Education Major University Lecturers’ and Students’ Perceptions of AI-Based Applications in Post-Pandemic Learning

Authors

DOI:

https://doi.org/10.35961/salee.v4i2.843

Keywords:

AI-based applications, ELT, perceptions, post-pandemic learning

Abstract

This study investigated the lecturers’ and students’ perceptions and examined the affordances and challenges of AI-based applications in post-pandemic learning. The subject of this research is 6 lecturers and 211 sixth-semester students in English Language Education at Universitas Pendidikan Ganesha. The research method used was the Explanatory Sequential Mixed-Method. The questionnaire was used to investigate lecturers’ and students' perceptions. Furthermore, the interview method was used as a follow-up to some questionnaire respondents. This research contributed to the following questions: (1) the perceptions of lecturers and students of AI-based applications in post-pandemic learning, and (2) the affordances and challenges of AI-based applications in post-pandemic learning. The findings showed that the students tend to have positive perceptions of AI-based applications. The students think that AI-based applications are innovative and helpful for improving learning English skills. However, lecturers tend to have negative perceptions in a few statements regarding AI-based applications in post-pandemic learning. The lecturers think that the implementation of AI-based applications must still take into consideration student motivation, pedagogical competence, and technological competency. Through this study, the lecturer will get information to design effective and efficient learning objectives using AI-based applications and the students could learn how to improve their English language learning skills.

Author Biographies

Yohana Nova Enzelina, Student

Yohana Nova Enzelina graduated student at Universitas Pendidikan Ganesha, Bali, Indonesia, and majoring in English Language Education study program. She was a preservice teacher at DMMMSU Philippines Senior High School for 2 months. She is also one of the students who has participated in the Studi Independen Kampus Merdeka Batch 3 for 5 months which was held at PT. Mari Belajar Indonesia. She is interested in Computer Assited Language Learning (CALL) and Mobile Assited Language (MALL) which she has published articles with an interest in technology especially in the EFL scope.

Made Hery Santosa, Universitas Pendidikan Ganesha

Made Hery Santosa teaches in English Language Education study program, Universitas Pendidikan Ganesha while serving as the board director of Asia-Pacific Associations of Computer Assisted Language Learning (APACALL), Indonesia Technology Language Learning (iTELL), and Indonesia Extensive Reading Association (IERA). He has published in numerous journals and served as an article editor and a reviewer in reputable journals. His research interests include EFL, AI, Metaverse, CALL, and innovative pedagogies.

A.A. Gede Yudha Paramartha, Universitas Pendidikan Ganesha

A.A. Gede Yudha Paramartha, S.Pd., M.Pd. is an associate professor at the English Language Education Study Program, Faculty of Languages and Arts, Ganesha University of Education (Undiksha), Bali, Indonesia. In 2017, he had the opportunity to add competence in the field of educational assessment after taking part in a short-course on National Assessment and Computer-based Testing at the University of Adelaide, Australia. Have an interest in the field of educational assessment and measurement. The subjects taught are Language Assessment and Statistics in Education. His current research mainly focuses on English Language Assessment, especially English Assessment Literacy.

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Published

2023-07-12

How to Cite

Enzelina, Y. N., Santosa, M. H., & Paramartha, A. . G. Y. (2023). Exploring English Language Education Major University Lecturers’ and Students’ Perceptions of AI-Based Applications in Post-Pandemic Learning. SALEE: Study of Applied Linguistics and English Education, 4(2), 487–502. https://doi.org/10.35961/salee.v4i2.843

Issue

Vol. 4 No. 2 (2023)

Section

Articles