Enterprise AI Analysis
Artificial intelligence in higher education with bibliometric and content analysis for future research agenda
Explore the transformative potential of Artificial Intelligence in higher education, synthesized from the latest research for enterprise strategic insights.
Executive Impact & Key Takeaways
This study investigates the integration of artificial intelligence (AI) in higher education, aiming to identify trends, key contributors, highly cited papers, collaboration, and thematic areas in research published between (2016-2025). A bibliometric and content analysis was employed, combining quantitative descriptive methods and network analysis with qualitative content analysis of the most-cited articles. Data was extracted from Scopus, yielding 276 refined documents. Key findings include increasing research output, leading affiliations like Symbiosis International Deemed University, and thematic areas such as adaptive learning and predictive analytics. The study highlights AI's transformative potential in enhancing learning, administrative efficiency, and innovation, while also addressing ethical concerns and practical limitations.
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Refined Documents Analyzed
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Publications in 2024 (Highest)
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Top 10 Countries (%)
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AI Keyword Occurrences
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
This category focuses on the temporal evolution and growth patterns of AI research in higher education, identifying periods of accelerated publication and the factors driving these trends, such as technological advancements and global events like the COVID-19 pandemic.
Here, we analyze the most prolific authors, leading institutions, influential journals, and top contributing countries in AI in higher education research, highlighting established and emerging research hubs.
This section delves into the major themes and topics explored in the literature, utilizing co-word analysis to reveal conceptual clusters like adaptive learning, predictive analytics, and the emergence of ChatGPT as a research focus.
We examine co-authorship networks to identify international collaborations and citation analysis to pinpoint the most influential articles, demonstrating how knowledge is shared and built upon within the field.
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Highest Annual Publications in 2024
Enterprise Process Flow
Data Collection from Scopus (422 documents)
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Data Refinement (276 documents)
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Descriptive Analysis
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Network Analysis
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Content Analysis
| Country | Publications | Leading Affiliations |
|---|---|---|
| China | 37 |
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| India | 32 |
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| UK | 23 |
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| USA | 19 |
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| Saudi Arabia | 15 |
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Case Study: AI in Adaptive Learning Systems
One significant application of AI in higher education is the development of adaptive learning systems. These systems utilize AI algorithms to tailor educational content and pace to individual student needs, enhancing engagement and learning outcomes. For instance, studies by Chatterjee and Bhattacharjee highlight how AI can personalize education, leading to improved student performance. This directly addresses the challenge of diverse learning styles and prior knowledge among students, offering a scalable solution for large institutions.
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Highest Keyword Occurrence: Artificial Intelligence
| Cluster Focus | Key Concepts |
|---|---|
| High Education & Learning |
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| Institutions & Technology |
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| AI Tools & Innovation |
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| E-learning & Advancements |
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Case Study: Collaborative Research Networks
The analysis of co-authorship networks reveals strong international collaboration, particularly between developed and emerging countries. The UK, India, China, and Saudi Arabia show significant total link strength, indicating active partnerships. For example, China's initiatives like the 'new generation artificial intelligence development plan' have fostered its dominance, leading to collaborations that advance AI in higher education through machine learning, automation, and digital transformation initiatives. These collaborations are crucial for knowledge transfer and policy development in AI-driven education.
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Highest Co-authorship Link Strength: UK
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