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A Framework-Based Analysis of Artificial Intelligence Tool Integration in Academic Writing and Its Effects on Critical Reasoning and Writing Competency in Malaysian Higher Education Faculty

https://doi.org/10.55640/ijnget-v03i08-02

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Dr. Haruto Nakamura ¹ , Prof. Aiko Tanaka ¹ ,

⁴ School of Robotics and AI Systems, Tokyo Metropolitan Institute of Technology, Tokyo, Japan

⁴ Department of Next-Generation Computing, Kyoto Advanced Science University, Kyoto, Japan

Abstract

The integration of Artificial Intelligence (AI) tools into academic writing practices has introduced transformative shifts in higher education, particularly in the domains of writing competency and critical reasoning development. This study develops a framework-based analytical model to examine the impact of AI-enabled writing tools on Malaysian university faculty members, focusing on how these tools influence cognitive engagement, academic expression, and evaluative thinking processes. Drawing on qualitative literature synthesis and interpretive methodological principles, the study conceptualizes AI as both an assistive and disruptive force within academic writing ecosystems. The findings indicate that AI tools enhance efficiency, linguistic accuracy, and structural coherence in academic outputs; however, they simultaneously raise concerns regarding reduced independent critical reasoning and over-reliance on automated suggestions. The framework proposed in this study integrates three core dimensions: cognitive engagement, writing proficiency enhancement, and ethical-academic dependency regulation. It further highlights institutional readiness and AI literacy as mediating factors shaping effective adoption outcomes. The study contributes to ongoing debates on AI in higher education by offering a structured model for balancing technological augmentation with intellectual autonomy. Limitations include the conceptual nature of the framework and reliance solely on secondary literature. Future research directions emphasize empirical validation and cross-cultural comparative analysis.

Keywords

Artificial Intelligence, Academic Writing, Critical Thinking, Higher Education

References

Z. S. Abu Zahri, P. V. Chanthiran, M. M. Yunus, and K. R. M. Rafiq, “ChatGPT: Investigating Academic Staff’s Awareness and Utilization in Teaching and Learning Strategies,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 13, no. 12, pp. 1347-1363, 2023.

A. Arista, L. Shuib, and M. A. Ismail, “An Overview ChatGPT in Higher Education in Indonesia and Malaysia,” in Proc. 2023 Int. Conf. Informatics, Multimedia, pp. 273-277, 2023.

V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qual. Res. Psychol., vol. 3, no. 2, pp. 77-101, 2006.

B. Flyvbjerg, “Five misunderstandings about case-study research,” Qual. Inquiry, vol. 12, no. 2, pp. 219-245, 2006.

B. Selvanathan and S. Narayanan, “ChatGPT in Higher Education Malaysia: An Opportunity or Threat to the Education System,” Int. J. Acad. Res. Prog. Educ. Dev., vol. 13, no. 3, pp. 290-308, 2024.

H. M. Saman, S. M. Noor, C. M. Mat Isa, O. C. Lian, and G. Narayanan, “Embracing Artificial Intelligence as a Catalyst for Change in Reshaping Malaysian Higher Education in the Digital Era: A Literature Review,” in Proc. Int. Conf. Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT), pp. 633-643, Nov. 2024.

J. W. Creswell and C. N. Poth, Qualitative Inquiry and Research Design: Choosing Among Five Approaches, 4th ed., Thousand Oaks, CA: Sage Publications, 2018.

J. Evans and A. Mathur, “The value of online surveys for qualitative data collection,” J. Res. Methods Educ., vol. 12, no. 1, pp. 23-35, 2018.

M. D. Leedy and J. E. Ormrod, Practical Research: Planning and Design, 12th ed., Boston, MA: Pearson, 2020.

M. Q. Patton, Qualitative Research and Evaluation Methods, 4th ed., Thousand Oaks, CA: Sage Publications, 2015.

S. Fusch and L. Ness, “Are we there yet? Data saturation in qualitative research,” Qual. Rep., vol. 20, no. 9, pp. 1408-1416, 2015.

M. A. Zainal and M. E. Matore, “Artificial Intelligence (AI) Literacy among Teachers Positive Outlook: The Huge Potential Talent has Landed,” Int. J. Acad. Res. Econ. Manag. Sci., vol. 13, no. 4, pp. 78-92, 2024.

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International Journal of Next-Generation Engineering and Technology

A Framework-Based Analysis of Artificial Intelligence Tool Integration in Academic Writing and Its Effects on Critical Reasoning and Writing Competency in Malaysian Higher Education Faculty

Abstract

Keywords

References

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