Vol. 2026 No. 1 (2026): 2026 Continuous Issue
Articles

Harnessing AI for Dissertation Success: A Chair and Methodologists's Guide

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  • Professor,
  • Dr.
Professor
California State University, San Bernardino
Bio
Dr.
Southern New Hampshire University

Published 2026-02-11

Keywords

  • Artificial Intelligence; Dissertation Supervision; Doctoral Education

How to Cite

Wang, V., & Ellington, L. (2026). Harnessing AI for Dissertation Success: A Chair and Methodologists’s Guide. International Journal of AI in Pedagogy, Innovation, and Learning Futures, 2026(1). Retrieved from https://journals.calstate.edu/ijaipil/article/view/6890

Copyright (c) 2026 Copyright will be assigned automatically to Viktor Wang, Linda Ellington when this is published.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This article explores the integration of artificial intelligence (AI) tools in the dissertation process, focusing on how dissertation chairs and methodologists can leverage AI to enhance efficiency, feedback quality, time management, and methodological rigor. By examining AI's practical applications, including tools for writing refinement, citation management, data analysis, and project tracking, the article offers insights into how AI can streamline academic workflows while fostering academic integrity and critical thinking. It also addresses ethical considerations, stressing the need for a balanced, thoughtful approach to using AI in the dissertation process.  Ultimately, the article provides actionable strategies for academic mentors to support doctoral students in producing high-quality research while maintaining rigorous scholarly standards.

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