Leveraging Artificial Intelligence Tools for Learning DOI

Edwin Okumu Ogalo,

Fredrick Mtenzi

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 36

Published: Oct. 18, 2024

The emergence of Large Language Models like ChatGPT has come with the promise to transform education. However, its advent ushered in a new era unprecedented opportunities and ethical challenges. This paper explores dynamic nexus between artificial intelligence, ethics, academic integrity higher study involved theoretical review that largely utilized secondary data utilizing up-to-date methodical meta-analysis literature assessments personal reflections on practical application featuring ChatGPT's use among master's students at Aga Khan University. revealed intelligence tools have potential improve pedagogy promote learning. it presents significant concerns associated maintaining integrity, including risk plagiarism, stifling critical thinking, privacy. recommends balanced, responsible approach, supported by clear guidelines, frameworks, ongoing research explore benefits intelligence.

Language: Английский

Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs DOI Creative Commons
Dana-Kristin Mah, Nancy Gross

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

Published: Oct. 16, 2024

Abstract Faculty perspectives on the use of artificial intelligence (AI) in higher education are crucial for AI’s meaningful integration into teaching and learning, yet research is scarce. This paper presents a study designed to gain insight faculty members’ ( N = 122) AI self-efficacy distinct latent profiles, perceived benefits, challenges, use, professional development needs related AI. The respondents saw greater equity as greatest benefit, while students lack literacy was among with majority interested development. Latent class analysis revealed four member profiles: optimistic, critical, critically reflected, neutral. optimistic profile moderates relationship between usage. adequate support services suggested successful sustainable digital transformation.

Language: Английский

Citations

10
Editorial for special issue: Digital multimodal composing in the era of artificial intelligence DOI
Fei Victor Lim,

Øystein Gilje,

Emilia Djonov

et al.

Computers & composition/Computers and composition, Journal Year: 2025, Volume and Issue: unknown, P. 102911 - 102911

Published: Jan. 1, 2025

Language: Английский

Citations

1
A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies DOI
Peijun Wang, Yuhui Jing, Shusheng Shen

et al.

The Internet and Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 100996 - 100996

Published: Jan. 1, 2025

Language: Английский

Citations

1
What drives Chinese university students’ long-term use of GenAI? Evidence from the heuristic-systematic model DOI
Yin Liu, Z H Zhang, Yingkai Wu

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Language: Английский

Citations

0
Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research DOI
Junhong Xiao, Aras Bozkurt, Mark Nichols

et al.

TechTrends, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0
Generative artificial intelligence for academic research: evidence from guidance issued for researchers by higher education institutions in the United States DOI Creative Commons
Amrita Ganguly, Aditya Johri,

Areej Ali

et al.

AI and Ethics, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Abstract The recent development and use of generative AI (GenAI) has signaled a significant shift in research activities such as brainstorming, proposal writing, dissemination, even reviewing. This raised questions about how to balance the seemingly productive uses GenAI with ethical concerns authorship copyright issues, biased training data, lack transparency, impact on user privacy. To address these concerns, many Higher Education Institutions (HEIs) have released institutional guidance for researchers. better understand that is being provided we report findings from thematic analysis guidelines thirty HEIs United States are classified R1 or “very high activity.” We found researchers: (1) asks them refer external sources information funding agencies publishers keep updated resources education; (2) learn specific attributes shape predictive modeling, knowledge cutoff date, data provenance, model limitations, educate themselves authorship, attribution, privacy, intellectual property issues; (3) includes instructions acknowledge disclose GenAI, communicate effectively their use, alerts researchers long term implications over reliance legal consequences, risks institutions use. Overall, places onus compliance individual making accountable any lapses, thereby increasing responsibility.

Language: Английский

Citations

0
U.S. College Students’ Acceptability and Educational Benefits of ChatGPT from a Digital Divide Perspective (CAEAI-D-24-00352R2) DOI Creative Commons
Xinyi Zhang, Laurent H. Wang, Ronald E. Rice

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100385 - 100385

Published: March 1, 2025

Language: Английский

Citations

0
The role of generative AI tools in shaping mechanical engineering education from an undergraduate perspective DOI Creative Commons
Harshal D. Akolekar,

Piyush Jhamnani,

Vikas Kumar

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 17, 2025

Abstract This study evaluates the effectiveness of three leading generative AI tools-ChatGPT, Gemini, and Copilot-in undergraduate mechanical engineering education using a mixed-methods approach. The performance these tools was assessed on 800 questions spanning seven core subjects, covering multiple-choice, numerical, theory-based formats. While all demonstrated strong in questions, they struggled with numerical problem-solving, particularly areas requiring deep conceptual understanding complex calculations. Among them, Copilot achieved highest accuracy (60.38%), followed by Gemini (57.13%) ChatGPT (46.63%). To complement findings, survey 172 students interviews 20 participants provided insights into user experiences, challenges, perceptions academic settings. Thematic analysis revealed concerns regarding AI’s reliability tasks its potential impact students’ problem-solving abilities. Based results, this offers strategic recommendations for integrating curricula, ensuring responsible use to enhance learning without fostering dependency. Additionally, we propose instructional strategies help educators adapt assessment methods era AI-assisted learning. These findings contribute broader discussion role implications future methodologies.

Language: Английский

Citations

0
A systematic review of artificial intelligence in high school STEM education research DOI Open Access
Aigul Akhmetova,

Damira Sovetkanova,

Lyazzat K. Komekbayeva

et al.

Eurasia Journal of Mathematics Science and Technology Education, Journal Year: 2025, Volume and Issue: 21(4), P. em2623 - em2623

Published: March 31, 2025

The use of artificial intelligence (AI) in STEM education is becoming increasingly important, as AI has the potential to change teaching and learning methods. However, no review studies focus on summarizing research high schools. For this reason, study aims systematically We considered articles published journals indexed Scopus database. results show that participants ranged from 1 50 researchers generally used a single-group experimental method. In addition, our showed variety technologies school context. many variables were promote students through AI-based activities. Finally, almost all reported positive significant effects students’ cognitive or affective development. Overall, findings emphasize importance harnessing AI. More needed assess learner outcomes conduct longitudinal with control comparison groups evaluate long-term interventions establish causal relationships.

Language: Английский

Citations

0
Exploratory Study of Perceptions on Generative Artificial Intelligence Applications in Tutorial Action Within University Education DOI
Antonio Carrasco Rodríguez, Sofía Albero Verdú

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 91 - 114

Published: April 9, 2025

This study explores the perceptions of tutor team from Tutorial Action Program at University Alicante on usefulness generative artificial intelligence (GenAI) applications in tutorial action and an assistant created ChatGPT. Quantitative qualitative data were collected a survey 40 tutors 9th PAT Conference. Results show positive perception GenAI assistant, highlighting their potential to improve efficiency, accessibility, personalized student attention. However, concerns identified such as protection, content accuracy, opacity AI's training sources. The reveals widespread interest attitude towards future use assistant. Nonetheless, clear usage policies control knowledge sources are needed ensure ethical secure implementation. work lays groundwork for implementing AI suggesting research with larger, diverse samples exploring new functionalities educational contexts.

Language: Английский

Citations

0