Charming or chilling? A comprehensive review of ChatGPT’s in education sector DOI
Preeti Bhaskar, Chandan Kumar Tiwari

International Journal of Information and Learning Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 8, 2025

Purpose The purpose of this study is to conduct a comprehensive review ChatGPT in the education sector. By delving into published literature, research aims uncover benefits, drawbacks, present applications and prospective uses for various stakeholders. Design/methodology/approach employs quantitative methodologies. Utilizing Scopus database, authors applied Preferred Reporting Items Systematic Reviews Meta-Analyses framework gather data. Additionally, includes bibliometric analysis conducted through VOSviewer visualization tool R Studio achieve objectives. Findings making transformative impact on A thorough literature revealed that has several benefits drawbacks students educators. sheds light explores its key Research limitations/implications PRISMA methodology systematic reviews faces challenges handling publication bias evaluating quality. are limited by their inability comprehensively cover all relevant depend quality included studies. Bibliometric analyses may oversimplify landscapes, neglecting qualitative insights. relies existing introducing potential biases due varied accessibility. study’s focus database time constraints exclude recent significant Practical implications recommendations educational institutions, students, educators, administrative staff service providers. These collectively aim provide guidance stakeholders, fostering an environment where can effectively transform Originality/value This conducts examination sector, with primary emphasis exploring educators staff. highlighting stakeholders opportunities leverage transformation

Language: Английский

A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT DOI Creative Commons
Maram Abdaljaleel, Muna Barakat, Mariam Alsanafi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 23, 2024

Abstract Artificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed investigate factors influencing university students’ attitudes and usage of ChatGPT in Arab countries. The survey instrument “TAME-ChatGPT” was administered 2240 participants from Iraq, Kuwait, Egypt, Lebanon, Jordan. Of those, 46.8% heard 52.6% used it before study. results indicated that a positive attitude were determined by ease use, towards technology, social influence, perceived usefulness, behavioral/cognitive influences, low risks, anxiety. Confirmatory factor analysis adequacy constructs. Multivariate demonstrated significantly influenced country residence, age, type, recent academic performance. validated as useful tool for assessing adoption among students. successful integration relies on elements, anxiety, minimal risks. Policies should be tailored individual contexts, considering variations student observed this

Language: Английский

Citations

93
Drivers and Consequences of ChatGPT Use in Higher Education: Key Stakeholder Perspectives DOI Creative Commons
Ahmed M. Hasanein, Abu Elnasr E. Sobaih

European Journal of Investigation in Health Psychology and Education, Journal Year: 2023, Volume and Issue: 13(11), P. 2599 - 2614

Published: Nov. 9, 2023

The incorporation of artificial intelligence (AI) into education has heralded a transformative era in the way students learn and faculties teach. Among burgeoning array AI tools, ChatGPT stands out as versatile powerful resource. Developed by OpenAI, is an AI-driven conversational model that generates human-like responses. This research draws on Constructivism Learning Theory to uncover key drivers pushing higher use for academic purposes, multifaceted consequences it brings environment, integrating perspectives stakeholders: students, faculty, experts/leaders. findings in-depth, face-to-face, interviews with stakeholders revealed 12 main motivate their faculty mainly learning purposes. However, identified (six positive another six negative) using Recommendations mitigating negative were discussed stakeholders, particularly experts/leaders, who more concerned about reasons. reveals institutions should establish clear guidelines part policy, supplemented training sessions responsible purposes mitigate any ethical concerns.

Language: Английский

Citations

85
Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives DOI Creative Commons
Abdullahi Yusuf, Nasrin Pervin, Marcos Román González

et al.

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: March 25, 2024

Abstract In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication GenAI tools raised concerns about their potential to automate research processes. Despite widespread on various fields, there is a lack multicultural perspectives its impact HE. This study addresses gap by examining usage, benefits, from standpoint. We employed an online survey that collected responses 1217 participants across 76 countries, encompassing broad range gender categories, academic disciplines, geographical locations, cultural orientations. Our findings revealed high level awareness familiarity with among respondents. A significant portion had prior experience expressed intention continue using these tools, primarily for information retrieval text paraphrasing. emphasizes importance integration education, highlighting both benefits concerns. Notably, strong correlation between dimensions respondents’ views related GenAI, including as dishonesty need ethical guidelines. We, therefore, argued responsible use can enhance learning processes, but addressing may require robust policies are responsive expectations. discussed offered recommendations researchers, educators, policymakers, aiming promote effective education.

Language: Английский

Citations

83
Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners DOI Creative Commons
Fatih Karataş, Faramarz Yaşar Abedi, Filiz Ozek Gunyel

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(15), P. 19343 - 19366

Published: March 19, 2024

Abstract ChatGPT, an artificial intelligence application, has emerged as a promising educational tool with wide range of applications, attracting the attention researchers and educators. This qualitative case study, chosen for its ability to provide in-depth exploration nuanced effects AI on foreign language learning process within real-world context, aimed utilize ChatGPT in education, addressing gap existing research by offering insights into potential, benefits, drawbacks this innovative approach. The study involved 13 preparatory class students studying at School Foreign Languages university Turkey. were introduced through experiences over span four weeks researcher teacher. data collected from interviews analysed using thematic analysis. findings suggest that positively affects students’ experiences, especially writing, grammar, vocabulary acquisition, enhances motivation engagement versatile accessible nature various activities. These contribute understanding utility constraints employing technology instruction can inform educators developing effective teaching strategies designing curricula.

Language: Английский

Citations

54
Generative Artificial Intelligence in Higher Education: Exploring Ways of Harnessing Pedagogical Practices with the Assistance of ChatGPT DOI Creative Commons
Κλεοπάτρα Νικολοπούλου

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(2), P. 103 - 111

Published: March 20, 2024

There is a growing interest in using generative artificial intelligence (AI) for educational purposes within the higher education environments, while AI applications (such as ChatGPT) can transform traditional teaching and learning methods. ChatGPT an advanced tool that generates new content human-like responses. The purpose of this paper to use research assistant order explore ways be harnessed enhance pedagogical practices education. This qualitative study, which output-responses generated by provided starting point investigation. various including personalized learning, automated assessment feedback generation, virtual assistants chatbots, creation, resource recommendation, time management, language translation support, assistance, simulations labs. Other affordances strengthen experience regard collaboration communication, accessibility inclusivity, well literacy. When implementing tools such education, ethical considerations (e.g., data privacy, transparency, accessibility, cultural sensitivity), potential misuses concerns need also addressed. Although aid generation content-ideas further exploration, it complementary-supportive tool, its output necessitates human evaluation review. integration other process/practices has implications educators, students, design curricula, university policy makers. Received: 17 January 2024 | Revised: 27 February Accepted: 19 March Conflicts Interest author declares she no conflicts work. Data Availability Statement sharing not applicable article were created or analyzed study.

Language: Английский

Citations

30
AI: the future of humanity DOI Creative Commons
Soha Rawas

Discover Artificial Intelligence, Journal Year: 2024, Volume and Issue: 4(1)

Published: March 26, 2024

Abstract Artificial intelligence (AI) is reshaping humanity's future, and this manuscript provides a comprehensive exploration of its implications, applications, challenges, opportunities. The revolutionary potential AI investigated across numerous sectors, with focus on addressing global concerns. influence areas such as healthcare, transportation, banking, education revealed through historical insights conversations different systems. Ethical considerations the significance responsible development are addressed. Furthermore, study investigates AI's involvement in issues climate change, public health, social justice. This paper serves resource for policymakers, researchers, practitioners understanding complex link between humans.

Language: Английский

Citations

20
ChatGPT in Teaching and Learning: A Systematic Review DOI Creative Commons
Duha Ali, Yasin Fatemi,

Elahe Boskabadi

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 643 - 643

Published: June 14, 2024

The increasing use of artificial intelligence (AI) in education has raised questions about the implications ChatGPT for teaching and learning. A systematic literature review was conducted to answer these questions, analyzing 112 scholarly articles identify potential benefits challenges related educational settings. selection process thorough ensure a comprehensive analysis current academic discourse on AI tools education. Our research sheds light significant impact improving student engagement accessibility critical issues that need be considered, including concerns quality bias generated responses, risk plagiarism, authenticity content. study aims summarize utilizations learning by addressing identified through targeted strategies. authors outlined some recommendations will integration into frameworks enhances outcomes while safeguarding standards.

Language: Английский

Citations

20
Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects DOI
Agariadne Dwinggo Samala, Soha Rawas, Tianchong Wang

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 13, 2024

Language: Английский

Citations

19
Developing Personalised Islamic Learning in Digital Age: Pedagogical and Technological Integration for Open Learning Resources (OLR) DOI

Mukhamad Hadi Musolin,

Reda Owis Hassan Serour,

Maragustam Siregar

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 11 - 25

Published: Jan. 1, 2024

Language: Английский

Citations

15
Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy DOI Creative Commons
Evgenia Gkintoni, Hera Antonopoulou, Andrew Sortwell

et al.

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 203 - 203

Published: Feb. 15, 2025

Background/Objectives: This systematic review integrates Cognitive Load Theory (CLT), Educational Neuroscience (EdNeuro), Artificial Intelligence (AI), and Machine Learning (ML) to examine their combined impact on optimizing learning environments. It explores how AI-driven adaptive systems, informed by neurophysiological insights, enhance personalized education for K-12 students adult learners. study emphasizes the role of Electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS), other tools in assessing cognitive states guiding AI-powered interventions refine instructional strategies dynamically. Methods: reviews n = 103 papers related integration principles CLT with AI ML educational settings. evaluates progress made neuroadaptive technologies, especially real-time management load, feedback multimodal applications AI. Besides that, this research examines key hurdles such as data privacy, ethical concerns, algorithmic bias, scalability issues while pinpointing best practices robust effective implementation. Results: The results show that significantly improve Efficacy due managing load automatically, providing instruction, adapting pathways dynamically based data. Deep models Convolutional Neural Networks (CNNs), Recurrent (RNNs), Support Vector Machines (SVMs) classification accuracy, making systems more efficient scalable. Multimodal approaches system robustness mitigating signal variability noise-related limitations combining EEG fMRI, Electrocardiography (ECG), Galvanic Skin Response (GSR). Despite these advances, practical implementation challenges remain, including considerations, security risks, accessibility disparities across learner demographics. Conclusions: are epitomes redefinition potentials solid frameworks, inclusive design, scalable methodologies must inform. Future studies will be necessary refining pre-processing techniques, expanding variety datasets, advancing developing high-accuracy, affordable, ethically responsible systems. future AI-enhanced should inclusive, equitable, various populations would surmount technological dilemmas.

Language: Английский

Citations

2