AI-POWERED ENGLISH FOR SPECIFIC PURPOSES: EMPOWERING LEARNERS THROUGH PERSONALISED RESUME WRITING INSTRUCTION

KAMSILAWATI  KAMLUN; ANNA LYNN  ABU BAKAR; WAN HURANI  OSMAN; NURUL NAZIRA  HAMZAH

doi:10.51200/manu.v36i2.7071

Authors

KAMSILAWATI KAMLUN
ANNA LYNN ABU BAKAR
WAN HURANI OSMAN
NURUL NAZIRA HAMZAH

DOI:

https://doi.org/10.51200/manu.v36i2.7071

Keywords:

Teaching and learning, English as a Second Language, Innovations, Technology, Artificial Intelligence, English for Specific Purposes, Resume Writing

Abstract

Abstract This study investigates the potential of Artificial Intelligence (AI) to revolutionise English for Specific Purposes (ESP) education by personalising learning experiences for Malaysian students. Focusing on resume writing, the research employs a mixed-methods approach to examine students' perceptions of AI-driven, personalised feedback in tailoring instruction to individual student needs and career goals. The study involved 60 ESP students who received simulated AI-powered feedback on their resume drafts, analysing grammar, vocabulary use, and the effectiveness of industry-specific keywords. Data were collected through resume draft analysis and focus group discussions to explore students' perceptions of engagement, learning outcomes, and job-market preparedness. Findings reveal that 88.3% of students perceived increased engagement and improved learning outcomes when using AI personalisation tools, with 80% expressing strong interest in AI analysis of industry-specific resume elements. Qualitative analysis of focus group discussions identified three main themes: appreciation for personalised feedback, challenges with technical vocabulary, and perceived improvement in job-market readiness. These findings suggest that AI-powered personalised feedback represents a promising pedagogical approach for ESP instruction, though further research is needed to assess actual learning outcomes and long-term effectiveness. The study provides foundational insights into student acceptance of AI in ESP contexts and identifies areas for improving AI tool design and implementation.

Author Biographies

KAMSILAWATI KAMLUN

Pusat Penataran Ilmu & Bahasa,
Universiti Malaysia Sabah, Jalan UMS,
88400 Kota Kinabau, Sabah.

ANNA LYNN ABU BAKAR

Pusat Penataran Ilmu & Bahasa,
Universiti Malaysia Sabah, Jalan UMS,
88400 Kota Kinabau, Sabah.

WAN HURANI OSMAN

Pusat Penataran Ilmu & Bahasa,
Universiti Malaysia Sabah, Jalan UMS,
88400 Kota Kinabau, Sabah.

NURUL NAZIRA HAMZAH

Pusat Penataran Ilmu & Bahasa,
Universiti Malaysia Sabah, Jalan UMS,
88400 Kota Kinabau, Sabah.

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