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Enterprise AI Analysis: Research Status and Development Trend of Educational Informatization Based on CiteSpace Visual Analysis

Enterprise AI Analysis

Research Status and Development Trend of Educational Informatization Based on CiteSpace Visual Analysis

With the continuous development of the Internet, educational informatization has become a hot field in domestic academic research. This study utilized the CiteSpace visualization technology-enhanced mediation center algorithm to systematically analyze 3,266 papers on educational informatization in CNKI core journals from 2015 to 2025. The aim is to map out the current research pattern and predict the future development trend. Our research highlights an increasing number of publications, reflecting the significant academic interest and practical impact of educational informatization. This article further explores the relationship between these trends and the progress of educational informatization policies and practices. Although many scholars and educators are involved, the practical results show that the development trend of the national educational informatization level is relatively good, but there is still a considerable degree of imbalance among different regions. Finally, this paper proposes the research directions of future educational informatization, including taking the efficient allocation and innovative application of high-quality educational resources as the starting point, and breaking down resource barriers and activating resource efficiency through multi-dimensional strategies, etc.

Executive Impact & Core Findings

This research reveals critical insights into the landscape of educational informatization, highlighting growth drivers, collaboration patterns, and the significant role of policy interventions.

3266 Total Publications (2015-2025)
442 Peak Publications (2020)
15.6% Post-2018 Growth Rate
0.63 Gini Coefficient (Resource Inequality)

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442 Peak Publications in 2020

The field saw a significant surge, peaking at 442 papers in 2020, followed by a gradual decline. This peak was statistically linked to policy interventions, with a 7.4% acceleration in annual growth post-2018 (Granger Causality confirmed a 2-year lag).

Author & Institutional Collaboration

The research involved 415 authors, with 20 identified as core authors (Price's law N≈6). However, the author network density is only 0.0038, indicating limited cooperation. Similarly, 365 research institutions participated, with a network density of 0.0046, highlighting a generally scattered collaboration landscape and the absence of a strong, cohesive core research team. Despite high-productivity authors like Chen Lin and Yang Zhimin, broader collaboration needs enhancement.

Intensity HierarchyColorPublication Density Range (articles/million pop)Typical ProvincesSpatial Features
The first-levelred≥5.0Beijing, Shanghai, Guangdong, JiangsuCoastal Research Corridor & core innovation zone
The second-levelorange3.0-4.9Zhejiang, Shandong, HubeiSecondary innovation center, policy-responsive area
The three-levelyellow1.5-2.9Sichuan, Chongqing, HenanEmerging regions involved & localized research active
Four-stageblue≤1.0Tibet, Qinghai, NingxiaPeriphery of research, weak resources & output
The Gini coefficient for educational informatization resources was 0.63, indicating severe inequality, driven by funding asymmetry (Eastern provinces received 72% of grants) and institutional hierarchy (Top-tier universities monopolized 55% of networks).

Improved Mediation Centrality Algorithm

The paper addresses the high time complexity (O(N³)) and space complexity (O(N²)) of traditional Betweenness Centrality algorithms in co-occurrence networks. It proposes an improved algorithm that constantly updates intermediary centrality values and performs a shortest path search from one point to all other points (instead of all vertex pairs). This optimization significantly reduces time complexity to O(MN) and space complexity to O(M+N), enhancing operational efficiency for large networks in educational informatization research.

Evolving Research Hotspots

Keywords like 'informatization,' 'smart education,' 'educational equity,' and 'information technology' appeared most frequently. Over time, 'information literacy,' 'online education,' and 'Internet Plus' emerged earlier. More recently, 'vocational education,' 'educational technology,' and 'higher education' have gained prominence, reflecting a widening scope. The evolution shows early focus on 'flipped classroom' and 'micro-lessons,' shifting to 'core literacy' (2017-2019), 'online teaching' (2020-2022), and currently 'digitalization' and 'digital technology' (2023-2025), driven by technological advancements and policy.

Strategic Prospects for Educational Informatization

To address existing imbalances and drive future growth, the paper proposes three key strategies:

Challenge: Uneven distribution of educational resources and the need for intelligent, equitable learning solutions.

Solution: 1. National-level cloud platform: A unified 'National Educational Resources Cloud' with policy enforcement for high-quality content uploads (e.g., 30% digital resources from 'Double First-Class' universities), dynamic review, and AI-driven recommendations. 2. Public-private partnership (PPP): Collaborative innovation with tech enterprises (e.g., Tencent AI Lab & East China Normal University's 'Intelligent Evaluation System' and Alibaba Cloud's 'Education Brain') for advanced tools like semantic analysis, grammar correction, and cognitive load monitoring. Emphasizes clear IP and data privacy agreements (Federated Learning). 3. AI adaptive learning: Phased promotion starting with knowledge graph-driven adaptive question banks (2023-2024 pilot phase, Nuojiang Prefecture saw 19.6-point math score increase), moving to lightweight models for low-bandwidth environments (2025 promotion stage), and integrating BCI/affective computing (2026-2030 deepening stage) for a 'cognition-emotion' adaptation model and multimodal evaluation.

Outcome: A replicable intelligent solution for educational equity, transforming education from knowledge imparting to all-round development, and ensuring quantifiable policy impact on educational quality.

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Future Directions & Implementation Roadmap

This research outlines a phased approach for advancing educational informatization, focusing on resource unification, technological innovation, and adaptive learning.

Phase 1: Pilot & Resource Unification (2023-2024)

Establish National Educational Resources Cloud: Implement policies for high-quality schools to upload at least 30% of digital resources. Pilot AI Adaptive Learning: Deploy knowledge graph-driven adaptive question banks in selected regions (e.g., Nuojiang Prefecture) and integrate Bayesian Knowledge Tracing (BKT).

Phase 2: Promotion & Low-Bandwidth Adaptation (2025)

Expand Cloud Platform Capabilities: Introduce AI-driven resource recommendation engines. Promote AI Adaptive Learning: Focus on lightweight models (MobileNetV3) for edge computing in low-bandwidth environments to achieve real-time interactive coverage in 50% of poverty-stricken middle schools.

Phase 3: Deepening & Paradigm Innovation (2026-2030)

Integrate Advanced AI: Incorporate Brain-Computer Interface (BCI) and affective computing technologies. Develop Cognition-Emotion Model: Build a dual-dimensional adaptation model for all-round development. Establish Multimodal Evaluation: Integrate AI effectiveness into 'County-level Education Quality Monitoring Indicators' to ensure quantifiable policy impact.

Conclusion & Next Steps

Through the visual analysis of 3,266 literatures on "educational informatization" published in core journals of the CNKI database from 2015 to 2025, the following conclusion is drawn: The research on educational informatization has important practical significance. The research on educational informatization by China National Knowledge Infrastructure (CNKI) can be traced back to the 1980s. The research trends vary in different periods, mostly focusing on education and information technology. From the perspective of authors and institutions, there are many scholars and institutions involved in the research of educational informatization, presenting a fragmented research phenomenon. The degree of cooperation among scholars and institutions is relatively low, and the closeness of academic cooperation needs to be further enhanced. From the perspective of keyword co-occurrence and clustering, the research hotspots between 2015 and 2025 mainly focused on smart education, informatization, and education at different stages, etc. Therefore, in the process of promoting educational informatization, it is necessary to constantly combine China's social reality and integrate informatization with China's basic education, higher education, vocational education, etc., so that educational informatization can further promote educational equity and benefit students at every educational stage.

References

  1. Machkour Mounia, Lamalif Latifa, Faris Sophia, Mansouri Khalifa & Akef Fatiha.(2025).Rethinking the integration of ICT in education: Towards a communication model to promote sustainable development.E3S Web of Conferences, 601.
  2. Hassan Abuhassna, Fareed Awae, Mohamad A. B. M. Adnan, Mahyudin Daud & Ab-dulla S. B. Almheiri.(2024). The Information Age for Education via Artificial Intelligence and Machine Learning: A Bibliometric and Systematic Literature Analy-sis.International Journal of Information and Education Technology, 14(5).
  3. Chun Zhao.(2024). Research on Educational Informatization Based on 5G Technol-ogy.Advances in Educational Technology and Psychology,8(2).
  4. Xiulan Guo Junsheng Wang & Chunyuan Sheng.(2024). The Development Path of College Physical Education Informationization Based on Modern Teaching Theory. Applied Mathematics and Nonlinear Sciences, 9(1).
  5. Yue Li.(2023).Innovation and Practice of College Education Technology Work in the Era of Education Informatization 2.0. The Educational Review, USA, 7(10).
  6. Yue Li.(2023).Innovation and Practice of College Education Technology Work in the Era of Education Informatization 2.0. The Educational Review, USA, 7(10).

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