AI-Assisted Academia: Unveiling Doctoral Students’ Perspectives on Dissertation in Practice Innovation

This action research study explores 73 doctoral students' perceptions of using Generative Artificial Intelligence (GAI) throughout their research journey in one educational doctorate (Ed.D) program. The first phase employed surveys, while the second incorporated semi-structured focus group interviews based on the survey data from a diverse sample of students across educational disciplines currently enrolled in the university's educational leadership doctoral program. In the study's first phase, the survey quantified educators' familiarity with, attitudes towards, perceived challenges, ethical considerations, and benefits of using GAI in doctoral research. The exploration of GAI in this practitioner-inspired doctoral program has uncovered essential insights into integrating emerging technologies in advanced academic settings. This study has highlighted the complexities and considerations accompanying the use of GAI tools in doctoral research, underscoring the need for a balanced approach aware of both the advantages and the challenges inherent in their adoption and offers possible solutions to increase ethical usage of GAI.

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Publication Details

Journal
Bulletin of Educational Studies
Published
2024-12-31
DOI
https://doi.org/10.61326/bes.v3i2.288
Citations
3
Primary Topic
Doctoral Education Challenges and Solutions
Type
article
Field-Weighted Citation Impact
2.55
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article

AI-Assisted Academia: Unveiling Doctoral Students’ Perspectives on Dissertation in Practice Innovation

Jennifer J Lesh, J.R. Lancaster
3 citations
Bulletin of Educational Studies
Doctoral Education Challenges and Solutions
2.55
article

AI-Assisted Academia: Unveiling Doctoral Students’ Perspectives on Dissertation in Practice Innovation

Jennifer J Lesh, J.R. Lancaster
article en
3 citations

Abstract

This action research study explores 73 doctoral students' perceptions of using Generative Artificial Intelligence (GAI) throughout their research journey in one educational doctorate (Ed.D) program. The first phase employed surveys, while the second incorporated semi-structured focus group interviews based on the survey data from a diverse sample of students across educational disciplines currently enrolled in the university's educational leadership doctoral program. In the study's first phase, the survey quantified educators' familiarity with, attitudes towards, perceived challenges, ethical considerations, and benefits of using GAI in doctoral research. The exploration of GAI in this practitioner-inspired doctoral program has uncovered essential insights into integrating emerging technologies in advanced academic settings. This study has highlighted the complexities and considerations accompanying the use of GAI tools in doctoral research, underscoring the need for a balanced approach aware of both the advantages and the challenges inherent in their adoption and offers possible solutions to increase ethical usage of GAI.

Bulletin of Educational StudiesVol. 3(2)
Lynn University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Doctoral Education Challenges and Solutions
2.55
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AI-Assisted Academia: Unveiling Doctoral Students’ Perspectives on Dissertation in Practice Innovation — Jennifer J Lesh, J.R. Lancaster · Bulletin of Educational Studies (2024) | TGRS Research Map | TGRS