The Use of Artificial Intelligence in Higher Education – Systematic Review

Al-Dhaen, Fatema

doi:10.1007/978-3-031-13351-0_13

Cited by 18 publications

(6 citation statements)

References 56 publications

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“…The findings align with existing literature on the integration of AI tools in higher education institutions (AlDhaen, 2022;Chatterjee & Bhattacharjee, 2020;Siau & Ma, 2018). Like previous studies, the current research acknowledges the potential benefits of AI in enhancing teaching and learning experiences (Hussain, 2020;Scott et al, 2021).…”

Section: Discussionsupporting

confidence: 89%

Artificial intelligence (AI) in Ukrainian Higher Education: A Comprehensive Study of Stakeholder Attitudes, Expectations and Concerns

Bobrytska,

Krasylnykova,

Beseda

et al. 2024

IJLTER

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This study examines stakeholders’ attitudes toward Artificial intelligence (AI) tools in Ukrainian higher education institutions, employing a comprehensive mixed-methods approach. The research combines qualitative focus group discussions, which involved a diverse range of participants, and a quantitative survey questionnaire distributed to a sizeable cohort. The quantitative data reveals a noteworthy trend, with a majority of stakeholders expressing positive attitudes toward AI integration, emphasising its potential for personalised learning and real-time feedback. This positive sentiment, however, is tempered by identified concerns, notably surrounding the accuracy of AI-generated content. The study establishes a connection with existing literature, affirming the widespread acceptance and benefits of AI in education. For a more nuanced understanding, a detailed breakdown of these quantitative results sheds light on the extent and distribution of stakeholder attitudes and concerns. Moreover, the qualitative component delves deeper into stakeholders’ perspectives, capturing the richness of their expressions. Concrete examples and direct quotes from participants in focus group discussions provide a qualitative dimension to the study’s findings, offering insights into the nuances of stakeholders’ viewpoints. To address these concerns, the research emphasises the need for tailored intervention plans, focusing on content quality, ethical implications and comprehensive training. These recommendations are rooted in a thorough analysis of both quantitative and qualitative data, providing practical insights for policymakers and institutions. In particular, the study highlights the importance of inclusive decision-making and targeted communication strategies, recognising role-based and age-related variations among stakeholders. By adopting a holistic approach to AI integration and acknowledging the interrelationships between attitudes, perceptions, expectations and concerns, this research provides a comprehensive guide for effectively leveraging AI while addressing associated concerns in higher education institutions.

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Section: Discussionsupporting

confidence: 89%

Artificial intelligence (AI) in Ukrainian Higher Education: A Comprehensive Study of Stakeholder Attitudes, Expectations and Concerns

Bobrytska,

Krasylnykova,

Beseda

et al. 2024

IJLTER

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“…AI applications in square four are unlikely to be deployed. This is aligned with the analysis provided by Murgatroyd (2021) and with the findings of several review studies of current deployments in higher education (AlDhaen, 2022;Ghnemat et al, 2022;Walczak & Cellary, 2023).…”

Section: The Incremental Approachsupporting

confidence: 78%

Artificial Intelligence and future of higher education

Murgatroyd

2024

REPED

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Many engaged in the development of Artificial Intelligence (AI) see education as a potential market for sales. They predict that AI will transform teaching, learning and assessment. In describing just how this will occur, AI advocates suggest a combination of individualized learning, adaptive and engaged assessment, and personal support for the learners' journey will be the hallmarks of the new reality for education. Harsh reality suggests something different. Using a simple framework of the potential impact of AI tools and the burden they require; a more incremental adoption is likely. This paper presents both the transformation framework and the more likely incremental approach as the choice for instructors, administrators, and policymakers.

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“…The development of AI applications for education has significant implications for international students, and institutions of higher education must consider the opportunities and risks associated with their implementation [76][77][78]. It is vital to recognize that AI is not a one-size-fits-all solution and should be implemented in ways that align with international students' unique needs and cultural differences.…”

Section: Discussionmentioning

confidence: 99%

Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success

et al. 2023

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International students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial intelligence (AI) applications. This research essay aims to investigate the impact of AI on the education of international students. Instead of a traditional literature review, it employs a research approach to examine the potential applications of AI and discuss associated concerns. The research paper explores various AI applications, such as personalized learning experiences, adaptive testing, predictive analytics, and chatbots for learning and research. By analyzing the role of AI in education for international students, this research paper sheds light on how AI can improve learning efficiency and provide customized educational support. Additionally, it identifies significant risks and limitations, including privacy concerns, cultural differences, language proficiency, and ethical implications, which must be effectively addressed. The findings contribute to a better understanding of the potential impact of AI on international students’ educational experiences and offer insights into the integration of AI into educational administration and learning processes.

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The Use of Artificial Intelligence in Higher Education – Systematic Review

Cited by 18 publications

References 56 publications

Artificial intelligence (AI) in Ukrainian Higher Education: A Comprehensive Study of Stakeholder Attitudes, Expectations and Concerns

Artificial intelligence (AI) in Ukrainian Higher Education: A Comprehensive Study of Stakeholder Attitudes, Expectations and Concerns

Artificial Intelligence and future of higher education

Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success

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