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Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
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“The findings show that performance prediction, resource recommendation, automatic assessment, and improvement of learning experiences are the four main functions of AI applications in online higher education.”
From Artificial intelligence in higher education: the state of the field (2023) · cites this paper as Ouyang et. al. (2022)
In the citing paper
“Extant systematic reviews on HE highlighted the use of AIEd for prediction (viz., Chu etal., 2022; Hinojo-Lucena etal., 2019; Ouyang etal., 2022; Zawacki-Richter etal., 2019).”
From Artificial intelligence in higher education: the state of the field (2023) · cites this paper as Ouyang et al., 2022
In the citing paper
“Based on such emotional signals, AI can adapt the learning environment, such as by using motivational messages or simplifying the task at moments of frustration of the learner, or gamifying when the learner is bored [216].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [216]
In the citing paper
“higher education settings are not only about promoting cognitive skills and knowledge but also play a significant role in developing learners' socio-affective skills, which are crucial for their overall well-being ([35,37]).”
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“Scholars (viz., Ouyang et al., 2022) who conducted a systematic review on AIEd in HE up to 2020 noted that they missed relevant articles from their study, and other relevant journals should intentionally be examined.”
A SWOT analysis of ChatGPT: Implications for educational practice and research
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“The penetration of AI in every sphere of educational practices has undeniably filtered teachers’ and students’ personal and professional development with numerous opportunities (Xu & Ouyang, 2021; Ouyang et al., 2022).”
BackgroundChatGPT in higher education: considerations for academic integrity and student learning
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.17 · Cited by 853
“…reviews focused on AI in higher education highlight that studies tend to frame AI principally as a tool for improving assignment feedback and assisting with administrative duties rather than exploring concerns relating to academic integrity (Ouyang et al., 2022; Zawacki-Ricther et al., 2019).”
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“Bib-liometric analyses have also emerged as a popular form of evidence synthesis (e.g., Lin-nenluecke et al., 2020; Zheng et al., 2022), which analyse bibliographic data to explore research trends and impact.”
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“Similarly, Ouyang et al. (2022) studied the impact of AI in education, and their findings corroborate our research.”
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Pierrès, O., Darvishy, A., & Christen, M. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13134-8 · Cited by 48
“Interestingly, none mentioned future applications that could predict whether they are at risk of failing a course, a function well-researched in the literature on AI educational technologies (Ouyang et al., 2022).”
Metadata
- Authors
- Ouyang, F., Zheng, L., & Jiao, P.
- Affiliations
- Zhejiang University (CN)
- Corresponding author
- Ouyang, Fan
- Venue
- Education and Information Technologies
- Published
- 2022-02-26
- Volume
- 27
- Issue
- 6
- Pages
- 7893-7925
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W4214643205
- Semantic Scholar
- 811c64131e009de84f0d92da6cc96e824a291bd5
- Cited by
- 831
- References
- 87
- Citations by year
- 2026: 198 · 2025: 263 · 2024: 251 · 2023: 112 · 2022: 7
- FWCI
- 19.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Education and Information Technologies (publishedVersion)
- Funders
- National Natural Science Foundation of China (62177041)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- artificial intelligence in education, online higher education, online learning, learning analytics, learning outcome prediction, student satisfaction prediction, resource recommendation, automated assessment, deep learning, genetic algorithm, student engagement, academic performance
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