Mapping Tomorrow’s Teaching and Learning Spaces: A Systematic Review on GenAI in Higher Education

Trends in Higher Education, Journal Year: 2025, Volume and Issue: 4(1), P. 2 - 2

Published: Jan. 8, 2025

This collective systematic literature review is part of an Erasmus+ project, “TaLAI: Teaching and Learning with AI in Higher Education”. The investigates the current state Generative Artificial Intelligence (GenAI) higher education, aiming to inform curriculum design further developments within digital education. Employing a descriptive, textual narrative synthesis approach, study analysed across four thematic areas: learning objectives, teaching activities, development, institutional support for ethical responsible GenAI use. 93 peer-reviewed articles from eight databases using keyword-based search strategy, collaborative coding process involving multiple researchers, vivo transparent documentation. findings provide overview recommendations integrating into learning, contributing development effective AI-enhanced environments reveals consensus on importance incorporating Common themes like mentorship, personalised creativity, emotional intelligence, higher-order thinking highlight persistent need align human-centred educational practices capabilities technologies.

Language: Английский

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Can student accurately identify artificial intelligence generated content? an exploration of AIGC credibility from user perspective in education

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

Published: Feb. 26, 2025

Language: Английский

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A Scoping Review of the Strategic Integration of Artificial Intelligence in Higher Education: Transforming University Excellence Themes and Strategic Planning in the Digital Era

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 7, 2025

ABSTRACT This scoping review discusses artificial intelligence's (AI) transformative role in strategic enhancement planning and academic excellence at Qatar University (QU). In response to the unprecedented rise integration of AI into higher education institutions worldwide, this study aims understand its influence on institutional strategies development student competencies. A literature search using Web Science, Scopus, Google Scholar IEEE Xplore. respect, 156 relevant studies were identified. Data extraction charting for Covidence provided insights effects teaching, administrative efficiency learning experiences. The emphasises how could enhance provide personalised learning. Still, it also points challenges that must be faced: data privacy reduced human interaction. findings suggest offers significant advantages but needs prudent implementation meet risks associated with adopting emerging technology. would address need effective complementarity traditional educational methods.

Language: Английский

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Shaping generative AI governance in higher education: Insights from student perception

International Journal of Educational Research Open, Journal Year: 2025, Volume and Issue: 8, P. 100452 - 100452

Published: Feb. 12, 2025

Language: Английский

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Students’ Perceptions of Artificial Intelligence Integration in Higher Education

European Journal of Educational Research, Journal Year: 2025, Volume and Issue: 14(2), P. 471 - 484

Published: March 6, 2025

This study explores the impact of artificial intelligence (AI) integration on students' educational experiences. It investigates student perceptions AI across various academic aspects, such as module outlines, learning outcomes, curriculum design, instructional activities, assessments, and feedback mechanisms. evaluates experiences, critical thinking, self-assessment, cognitive development, integrity. research used a structured survey distributed to 300 students through Microsoft Forms 365, yet response rate was 29.67%. A thematic analysis were employed gather insights from 89 students. Thematic is qualitative method for identifying analysing patterns or themes within data, providing into key ideas trends. The limited may be attributed learners' cultural backgrounds, not all are interested in familiar with tools. questions about different areas. identify data. Benefits enhanced timely feedback, personalised experiences prevalent. tools like Turnitin supported integrity, platforms ChatGPT Grammarly particularly valued their utility tasks. acknowledges limitations linked small sample size focus undergraduate learners only. findings suggest that can significantly improve provides tailored support promotes ethical practices. recommends continued expanded use technologies education while addressing potential implementation challenges.

Language: Английский

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Building Ethical Foundations

Advances in human and social aspects of technology book series, Journal Year: 2025, Volume and Issue: unknown, P. 163 - 190

Published: Jan. 31, 2025

This aims to establish a comprehensive framework for integrating ethics into AI research education. The mission of the chapter is guide development responsible researchers by embedding ethical considerations at core their training. It explores key ideas such as necessity fostering deep understanding AI's societal impacts, importance promoting transparency, fairness, and accountability, challenges posed biases unintended consequences. will outline innovative methods teaching in AI, including case studies, interdisciplinary collaboration, integration design principles practices. Additionally, it discuss recent advancements ethics, changes academic curricula, need continuous dialogue between researchers, ethicists, policymakers. Ultimately, this seeks prepare next generation navigate complex landscape with integrity responsibility.

Language: Английский

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Developing postgraduate students’ competencies in generative artificial intelligence for ethical integration into academic practices: a participatory action research

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: April 7, 2025

Language: Английский

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Ethical Use of Generative Artificial Intelligence Among Ecuadorian University Students

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4435 - 4435

Published: May 13, 2025

Artificial intelligence has transformed educational environments by facilitating processes such as information retrieval, assisted writing, automated feedback, and personalized tutoring. Within university settings, the adoption of technologies capable autonomously generating content increased rapidly, becoming a common academic resource for students. However, this accelerated integration poses ethical challenges, particularly when tools are used without clear understanding their implications. This study aimed to examine how students’ emotional attitudes (affective), (cognitive), practical use (behavioral) AI relate engagement with these technologies. A structured questionnaire was administered 833 students in Ecuador. The instrument showed excellent internal consistency (α = 0.992; Ω 0.992), validity analyses confirmed that dimensions measured distinct but related constructs. ChatGPT reported most tool (62.2%), followed Gemini Siri. structural model indicated cognitive substantially influenced behavior (β 0.413 β 0.567, respectively), whereas frequent alone exhibited no significant effect −0.128; p 0.058). These results suggest is primarily driven reflection knowledge rather than habit. contributes literature modeling different learning shape underscores relevance aligning practices socially responsible uses emerging

Language: Английский

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Perceptions, adoption intentions, and impacts of generative AI among Chinese university students

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: May 22, 2025

Language: Английский

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Artificial Intelligence Governance in Higher Education: The Role of Knowledge-Based Strategies in Fostering Legal Awareness and Ethical Artificial Intelligence Literacy

Societies, Journal Year: 2025, Volume and Issue: 15(6), P. 144 - 144

Published: May 23, 2025

Artificial intelligence (AI) is now part of the daily routine in many universities. It shows up learning platforms, digital assessments, and even student services. But despite its growing presence, institutions still face challenge making sure it used ways that respect legal ethical boundaries. This research explores how university settings prioritise knowledge—real, shared, thoughtfully managed—can help students become more aware these dimensions. A total 270 took study. We a structural equation model to look at links between knowledge-based practices, institutional governance, students’ understanding AI’s sides. The results show when knowledge genuinely valued—not just stored or repeated—governance practices around AI tend develop clearly. And this, turn, makes difference relate systems. Rather than teaching ethics directly, governance shapes environment where such thinking becomes everyday. When see rules are not arbitrary transparency matters, they cautious, but also confident navigating technology does always make logic visible.

Language: Английский

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