Perceptions of Algerian PhD Students towards ChatGPT in Higher Education: An Innovative Educational Approach in the Generative Artificial Intelligence Era at Batna2 University
DOI:
https://doi.org/10.70091/atras/AI.30Keywords:
Artificial Intelligence, ChatGPT, Higher Education, Natural Language Processing, PhD students' perceptionsAbstract
ChatGPT, an artificial intelligence language model developed by OpenAI, has gained significant attention for its potential applications in higher educational contexts. This article aims to present the findings of a questionnaire conducted to explore the perceptions of PhD students at Batna 2 University across various departments regarding ChatGPT. Addressing this study could enhance our understanding of how emerging AI tools, particularly ChatGPT, are influencing academic attitudes and practices. It explores the potential impacts on the future role of technology in research and learning. The researchers used a combination of quantitative and qualitative methods to gather data. A questionnaire, validated for its psychometric properties, was utilized in this study and comprised three sections: knowledge about ChatGPT, students' attitudes toward ChatGPT, and students' concerns regarding its use as a learning tool. The study was conducted with a random sampling of 70 PhD students representing various disciplines and educational backgrounds. The results obtained via Google Forms reveal that, while students generally acknowledge ChatGPT’s value for academic support, they have significant concerns about its accuracy, privacy implications, and potential effects on traditional learning methods. The findings indicate a nuanced perspective among students, revealing that they have concerns about the extent to which GPT is used ethically, particularly within a restricted framework. The researchers recommended undertaking a more comprehensive study to explore its applications in greater detail.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 ATRAS journal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Licensing Framework
ATRAS utilizes the Creative Commons Attribution-NoCommercial 4.0 International License, which permits others to remix, tweak, and build upon the work non-commercially, as long as the original work is properly cited. All the journal’s content is under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4-0).
Importantly, the intellectual property rights of the submitted papers remain with the contributors. ATRAS, published by Saida University, Dr Moulay Tahar, Algeria, does not collaborate with any private publishing companies to promote its publications. This policy is in place to prevent deceptive publishing practices. Furthermore, ATRAS strictly prohibits the commercial use or marketing of its published material.
Authors retain the right to reproduce and distribute their articles in any format, without prior authorization, with the proper acknowledgement of the first publication.
Authors are encouraged to self-archive their articles online (in institutional repositories, personal websites, etc.). Any such posting must include an appropriate citation and a link to the journal’s website.
Copyright Holder
Researchers who publish their manuscripts in ATRAS agree to the following:
Copyright and Licensing:
Author (s) retain unrestricted copyrights and publishing rights of their works, which are made available under the Creative Commons Attribution-NonCommercial CC BY-NC 4.0 (CC BY-NC 4.0), permitting others to:
SHARE: Copy and redistribute the materials in any format and medium.
ADAPT: Remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as he follows the license terms, which are:
ATTRIBUTION: Proper credit must be given, with a link to the license, and any modifications noted. This should not imply endorsement by the licensor.
NONCOMMERCIAL: The material cannot be used for commercial purposes.
Additional Agreements: Researchers can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published versions of the work (e.g., post it in an institutional repository or publish it in a book) with acknowledgement of its initial publication in ATRAS.
Online Sharing: Authors are permitted and encouraged to share their works online (e.g., in institutional repositories or on their websites) prior to and during the submission process, promoting productive exchanges and increasing citations.
