Ranking Potential AI Tools for Spoken ESL Improvement in Pakistan: A Fuzzy TOPSIS Approach

Authors

  • Yaghsha Sahar Grand Asian University, Sialkot
  • Dr. Aisha Farid Department of English, GC Women University Sialkot, Pakistan
  • Dr. Muhammad Sabboor Hussain Professor (English), University of Sialkot, Punjab, Pakistan

DOI:

https://doi.org/10.35993/ijitl.v12i1.7640

Abstract

The use of AI-based tools is imminent in learning the English language. This investigation aimed to explore the effectiveness of potential AI-based English-speaking tools in Pakistan. This study employed the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a Multi-Criteria Decision-Making (MCDM) method, to rank AI-based English-speaking tools for ESL learning in Pakistan. A ServQual questionnaire (Pursan, 2024) including 44 items was circulated to the target population of ESL teachers of Pakistan n=105. The results showed that the top alternative had the largest distance difference of 0.577 between the positive (3.76) and negative (5.13) values. In comparison, the lowest alternative had the smallest distance difference of 0.45 between the positive 5.12 and negative 5.11 values. The results ranked AI Chatbots, the Speak Google facility, and online games higher for speaking the English language. This study signified the golden future of AI-based speaking tools and highlighted the implications of pedagogical achievement through the Fuzzy TOPSIS approach.

Keywords: AI Tools, Spoken English, ESL, TOPSIS approach, Pakistan

Author Biographies

Yaghsha Sahar, Grand Asian University, Sialkot

Lecturer, Department of English, Grand Asian University Sialkot, Pakistan

Dr. Aisha Farid, Department of English, GC Women University Sialkot, Pakistan

Assistant Professor, Department of English, GC Women University Sialkot, Pakistan

Dr. Muhammad Sabboor Hussain, Professor (English), University of Sialkot, Punjab, Pakistan

Professor, Department of English, University of Sialkot, Pakistan

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Published

2026-06-30

Issue

Vol. 12 No. 1 (2026): International Journal of Innovation in Teaching and Learning (IJITL)

Section

Articles

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Copyright (c) 2026 International Journal of Innovation in Teaching and Learning (IJITL)

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