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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Students’ Demand for Accessing ChatGPT in Learning During the Digital Transformation Era

Authors: Associate Professor, Dr. Hoang Thi Nga; Dr. Mai Thi Dung; MA Nguyen Ngoc Lan; MA Tran Thi Minh Que;

Students’ Demand for Accessing ChatGPT in Learning During the Digital Transformation Era

Abstract

Today, students are born and raised in a period when the country is deeply integrating into the world. They have access to various sources of information, knowledge, and rich experiences, as well as advanced and modern educational systems. Students nowadays possess creative thinking, dynamism, and a willingness to innovate. Furthermore, they are exposed to diverse cultures, which help shape unique and novel ideas. These factors contribute to the distinct characteristics of students currently. ChatGPT was officially launched on OpenAI's homepage in November 2022. This model is developed based on GPT-3.5, a significant language model lineage of OpenAI. The chatbot is fine-tuned using both reinforcement learning and supervised learning techniques, enhancing its ability to generate human-like text and respond to complex user inquiries. The emergence of ChatGPT has created a significant impact on various domains of life, including education and training. While ChatGPT brings numerous benefits and positively impacts students' learning processes, it also presents limitations and unintended consequences during their learning process. This article focuses on understanding the current demand for using ChatGPT, its impact on students' learning processes, and their scientific research. Therefore, it aims to forecast students’ trends in using ChatGPT in the future.

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Keywords

Demand, access, students, ChatGPT, Chatbot, learning.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green