The Dual Impact of ChatGPT on Learning and Ethics among Bachelor of Science in Information Technology (BSIT) Students DOI Creative Commons
Ruth G. Luciano

International Journal of Learning Teaching and Educational Research, Год журнала: 2024, Номер 23(12), С. 78 - 95

Опубликована: Дек. 30, 2024

This study examines the usage and perceptions of ChatGPT, an AI-driven language model, among Bachelor Science in Information Technology (BSIT) students at Nueva Ecija University (NEUST) Cabanatuan City, Philippines. Utilizing a descriptive research design, investigates both learning outcomes ethical concerns associated with ChatGPT's application academic professional tasks. The focuses on how ChatGPT influences students' knowledge acquisition, efficiency, satisfaction, along challenges perceived relation to integrity. Data were collected using structured survey from sample 200 selected via stratified random sampling ensure gender- year-level representation. analyzed weighted means measure satisfaction concerns, while qualitative responses underwent thematic analysis explore students’ perspectives implications tool. findings reveal that view as valuable aid enhancing efficiency accessing knowledge. However, they also acknowledge significant challenges, including risks dishonesty over-reliance AI. study’s key output is policy brief actionable recommendations for educators policymakers, outlining guidelines balanced AI frameworks support responsible integration technologies education.

Язык: Английский

Examining Faculty and Student Perceptions of Generative AI in University Courses DOI Creative Commons
Junghwan Kim, Michelle Klopfer, Jacob Grohs

и другие.

Innovative Higher Education, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Abstract As generative artificial intelligence (GenAI) tools such as ChatGPT become more capable and accessible, their use in educational settings is likely to grow. However, the academic community lacks a comprehensive understanding of perceptions attitudes students instructors toward these new tools. In Fall 2023 semester, we surveyed 982 76 faculty at large public university United States, focusing on topics perceived ease use, ethical concerns, impact GenAI learning, differences responses by role, gender, discipline. We found that did not differ significantly higher education, except regarding hedonic motivation, habit, interest exploring technologies. Students also used for coursework or teaching similar rates, although regular was still low across both groups. Among students, significant between males STEM majors females non-STEM majors. These findings underscore importance considering demographic disciplinary diversity when developing policies practices integrating contexts, may influence learning outcomes differently various groups students. This study contributes broader how can be leveraged education while highlighting potential areas inequality need addressed widely used.

Язык: Английский

Процитировано

2

Factors influencing Chinese pre-service teachers’ adoption of generative AI in teaching: an empirical study based on UTAUT2 and PLS-SEM DOI
Linlin Hu, Hao Wang, Yan Xin

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Язык: Английский

Процитировано

1

An Assessment of the Feasibility of Artificial Intelligence Replacing Human Labor in the Completion of Pre-university Education DOI Creative Commons

Yiyang He

Lecture Notes in Education Psychology and Public Media, Год журнала: 2025, Номер 78(1), С. 188 - 194

Опубликована: Янв. 15, 2025

Personalized education has discreetly entered our field of vision with the rise numerous AIs, including Chat-GPT4, Xiaodu, and MathGPTPro. The conventional educational paradigm may become obsolete, leading society to undergo significant transformations a refinement process. This paper examines use artificial intelligence (AI) in its influence on framework. analysis encompasses literature review empirical research application effects AI personalized learning, intelligent tutoring, academic decision-making. Additionally, it addresses technology's potential challenges future developmental trajectories within sphere. What obstacles does encounter supplanting human involvement education? In today's tailored education, children are happy using software for learning when environments match their interests, according poll. According teachers, will not improve students' independent skills or critical thinking, pupils prefer AI's training over traditional, comprehensive teaching techniques. study's findings indicate that while demonstrates promise continues limitations hinders ability support compulsory fully.

Язык: Английский

Процитировано

1

Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies DOI Creative Commons
Ruiqi Deng,

Mingyu Jiang,

Xiao Yu

и другие.

Computers & Education, Год журнала: 2024, Номер unknown, С. 105224 - 105224

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

6

A conceptual ethical framework to preserve natural human presence in the use of AI systems in education DOI Creative Commons

Werner Alexander Isop

Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 7

Опубликована: Янв. 21, 2025

In recent years, there has been a remarkable increase of interest in the ethical use AI systems education. On one hand, potential for such is undeniable. Used responsibly, they can meaningfully support and enhance interactive process teaching learning. other risk that natural human presence may be gradually replaced by arbitrarily created systems, particularly due to their rapidly increasing yet partially unguided capabilities. State-of-the-art frameworks suggest high-level principles, requirements, guidelines, but lack detailed low-level models concrete processes according properties involved actors response, this article introduces Unified Modeling Language (UML)-based ancillary framework includes novel set properties. Whilst not incorporated related work, behavior visual representation are intended improve transparency reduce misinterpretation misuse AIS. The primarily focuses on school education, resulting more restrictive model, however, reflects potentials challenges terms improving flexibility toward different educational levels. concludes with discussion key findings implications presented framework, its limitations, future research directions sustainably preserve

Язык: Английский

Процитировано

0

AI-Driven Telecommunications for Smart Classrooms: Transforming Education Through Personalized Learning and Secure Networks DOI Creative Commons

Christos Koukaras,

Paraskevas Koukaras, Dimosthenis Ioannidis

и другие.

Telecom, Год журнала: 2025, Номер 6(2), С. 21 - 21

Опубликована: Март 27, 2025

Advances in telecommunications and artificial intelligence (AI) are reshaping modern educational spaces. Drawing upon diverse resources, this systematic literature review examines how these new advances including 5G, Internet of Things (IoT), AI-based analytics can transform conventional classrooms into adaptive, secure, highly interactive environments. Real-time data collection personalized feedback systems found to significantly enhance engagement accessibility for learner populations. Furthermore, emerging security architectures, such as zero-trust frameworks AI-driven intrusion detection, mitigate cyber threats strengthen confidentiality. Nevertheless, it is that broader adoption limited due practical hurdles, which include budget allocation, professional development, regulatory compliance. In response, strategic recommendations provided guide the planning implementation intelligent different contexts while noting need responsible governance equitable access. By illustrating AI-assisted connectivity instruction safeguarding privacy, study offers a forward-looking perspective on pedagogical approaches balance technological innovation with ethical considerations.

Язык: Английский

Процитировано

0

Education 2070: A Conceptual Framework DOI
Inês Carvalho, Montserrat Iglesias, Stanislav Ivanov

и другие.

World Futures, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Март 26, 2025

Язык: Английский

Процитировано

0

Effects of Chinese College Students’ Academic Integrity Perceptions on the Intention To Disclose AI-Generated Outputs: A Moderated Mediation Model DOI
Xiaoqin Zhang, Jinbao Zhang, Mohamed Oubibi

и другие.

Journal of Academic Ethics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0

Can generative AI motivate management students? The role of perceived value and information literacy DOI
Emily Maria K. Jose,

Akshara Prasanna,

Bijay Prasad Kushwaha

и другие.

The International Journal of Management Education, Год журнала: 2024, Номер 22(3), С. 101082 - 101082

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

4

AI in ELT DOI

Nagamurali Eragamreddy

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 161 - 198

Опубликована: Янв. 31, 2025

Using data from 50 instructors, this chapter investigates AI especially ChatGPT's use in ELT. It draws attention to how it might enhance language skills, but also brings up issues with over-reliance, cultural sensitivity, and excessive usage. To effectively integrate into ELT, suggests taking flexible courses engaging organized professional development. Nonetheless, challenges such as a restricted number of participants feedback students indicate the need for further studies on academic accomplishments integration techniques.

Язык: Английский

Процитировано

0