A qualitative analysis of Chinese higher education students’ intentions and influencing factors in using ChatGPT: a grounded theory approach DOI Creative Commons
Zhaoyang Liu, Wenlan Zhang

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 5, 2024

The emergence of ChatGPT has significantly impacted the field education. While much existing research predominantly examined theoretical implications ChatGPT, there is a notable absence empirical studies substantiating these claims. As pivotal stakeholders in education and primary users exploring willingness influencing factors higher students to use can offer valuable insights into real-world needs student users. This, turn, serve as foundation for empowering with intelligent technologies future. This study focuses specifically on demographic Chinese who have utilized ChatGPT. Using semi-structured interviews grounded theory methodology, we aim comprehensively understand extent which embrace new technologies. Our objective elucidate behavioral inclinations findings this will contribute practical refining policy frameworks, expanding dissemination quality resources, optimizing upgrading products an enhanced user experience, fostering higher-order thinking skills adeptly navigate evolving technological landscapes. In conclusion, endeavors bridge gap between discussions applications.

Язык: Английский

The mechanisms of AI hype and its planetary and social costs DOI Creative Commons
Alva Markelius, Connor Wright,

Joahna Kuiper

и другие.

AI and Ethics, Год журнала: 2024, Номер 4(3), С. 727 - 742

Опубликована: Апрель 2, 2024

Abstract Our global landscape of emerging technologies is increasingly affected by artificial intelligence (AI) hype, a phenomenon with significant large-scale consequences for the AI narratives being created today. This paper aims to dissect hype in light its core mechanisms, drawing comparisons between current wave and historical episodes concluding that historically unmatched terms magnitude, scale planetary social costs. We identify discuss socio-technical mechanisms fueling including anthropomorphism, proliferation self-proclaimed “experts”, geopolitical private sector “fear missing out” trends overuse misappropriation term “AI” technologies. The second part seeks highlight often-overlooked costs hype. examine as exerts tremendous pressure on finite resources energy consumption. Additionally, we focus connection socio-economic injustices, perpetuation inequalities huge associated redistribution wealth human intelligence. In conclusion, offer insights into implications how mitigate moving forward. give recommendations developers, regulators, deployers public can navigate relationship innovation, investment scientific exploration, while addressing critical societal environmental challenges.

Язык: Английский

Процитировано

8

Generative AI in engineering education: understanding acceptance and use of new GPT teaching tools within a UTAUT framework DOI Creative Commons
Christopher D. F. Honig, Shannon A. Rios,

Aditya Desu

и другие.

Australasian journal of engineering education, Год журнала: 2025, Номер unknown, С. 1 - 13

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

1

Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments DOI
Shuzhen Yu,

Alexey Androsov,

Hanbing Yan

и другие.

Computers & Education, Год журнала: 2024, Номер 220, С. 105111 - 105111

Опубликована: Июль 11, 2024

Язык: Английский

Процитировано

7

Large language model to multimodal large language model: A journey to shape the biological macromolecules to biological sciences and medicine DOI Creative Commons
Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee

и другие.

Molecular Therapy — Nucleic Acids, Год журнала: 2024, Номер 35(3), С. 102255 - 102255

Опубликована: Июнь 15, 2024

After ChatGPT was released, large language models (LLMs) became more popular. Academicians use or LLM for different purposes, and the of is increasing from medical science to diversified areas. Recently, multimodal (MLLM) has also become Therefore, we comprehensively illustrate MLLM a complete understanding. We aim simple extended reviews LLMs MLLMs broad category readers, such as researchers, students in fields, other academicians. The review article illustrates models, their working principles, applications fields. First, demonstrate technical concept LLMs, principle, Black Box, evolution LLMs. To explain discuss tokenization process, token representation, relationships. extensively application biological macromolecules, science, MLLMs. Finally, limitations, challenges, future prospects acts booster dose clinicians, primer molecular biologists, catalyst scientists, benefits

Язык: Английский

Процитировано

6

A qualitative analysis of Chinese higher education students’ intentions and influencing factors in using ChatGPT: a grounded theory approach DOI Creative Commons
Zhaoyang Liu, Wenlan Zhang

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 5, 2024

The emergence of ChatGPT has significantly impacted the field education. While much existing research predominantly examined theoretical implications ChatGPT, there is a notable absence empirical studies substantiating these claims. As pivotal stakeholders in education and primary users exploring willingness influencing factors higher students to use can offer valuable insights into real-world needs student users. This, turn, serve as foundation for empowering with intelligent technologies future. This study focuses specifically on demographic Chinese who have utilized ChatGPT. Using semi-structured interviews grounded theory methodology, we aim comprehensively understand extent which embrace new technologies. Our objective elucidate behavioral inclinations findings this will contribute practical refining policy frameworks, expanding dissemination quality resources, optimizing upgrading products an enhanced user experience, fostering higher-order thinking skills adeptly navigate evolving technological landscapes. In conclusion, endeavors bridge gap between discussions applications.

Язык: Английский

Процитировано

6