The Impact of Digital Resources on Personalized Learning for Students
Research Article
Open Access
CC BY

The Impact of Digital Resources on Personalized Learning for Students

Tingting Yu 1*
1 University College London
*Corresponding author: Stnzty4@ucl.ac.uk
Published on 23 October 2025
Journal Cover
LNEP Vol.128
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-449-6
ISBN (Online): 978-1-80590-450-2
Download Cover

Abstract

As educational systems adapt to technological change, digital resources are progressing. At the heart of it all is a personalized education. The rapid expansion of information and the introduction of communication technologies have modified education, bringing both opportunities and difficulties. Standard, teacher-centered models have been superseded by student-centered approaches that emphasize autonomy, flexibility, and diversity. In China, initiatives like the Smart Education of China initiative are common. Policies have assisted the incorporation of digital resources in classrooms, which is consistent with this trend. Global trends in technology education. Digital tools, including online services, through recommendation systems and adaptive pathways, extend learning opportunities and promote self-regulated learning. However, difficulties persist, including inequality, access to information, problems with distraction, convoluted teaching methods, and other factors. The ability of teachers to offer timely guidance is shifting. This paper analyses the operational mechanisms of personalized digital resources learning, investigating how or why they can be changed in learn formats, etc., and psychological assistance. Furthermore, it says that the current practice poses a significant challenge. It offers recommendations for attaining a parity between learner autonomy and coordinated instruction guidance. The conclusions are intended to stimulate cross-cultural exchange and facilitate theoretical discussions by drawing on China and alleviating a bottleneck in research, which often emphasizes Western contexts, and have useful ramifications.

Keywords:

Digital Resources, Personalized Instruction, Self-Regulation, Technology for Education

View PDF
Yu,T. (2025). The Impact of Digital Resources on Personalized Learning for Students. Lecture Notes in Education Psychology and Public Media,128,14-23.

References

[1]. Van Der Vlies, R. (2020). Digital Strategies in Education Across OECD Countries: Exploring Education policies on Digital Technologies. OECD Education Working Papers, No. 226. OECD Publishing.

[2]. Ulanday, M. L., Centeno, Z. J., Bayla, M. C., & Callanta, J. (2021). Flexible Learning Adaptabilities in the New Normal: E-Learning Resources, Digital Meeting Platforms, Online Learning Systems and Learning Engagement. Asian Journal of Distance Education, 16(2), 165-181.

[3]. Sanchez, D. R., Rueda, A., Kawasaki, K., Van Lysebetten, S., & Diaz, D. (2023). Reviewing Simulation Technology: Implications for Workplace training. Multimodal Technologies and Interaction, 7(5), 50.

[4]. Zhang, T. (2020, December). A Brief Study on Short Video Platform and Education. In 2nd International Conference on Literature, Art and Human Development (ICLAHD 2020) (pp. 543- 547). Atlantis Press.

[5]. Maier, U., & Klotz, C. (2022). Personalized Feedback in Digital Learning Environments: Classification Framework and Literature Review. Computers and Education: Artificial Intelligence, 3, 100080.

[6]. Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M. (2018). Exploring the impacts of Interactions, Social Presence and Emotional Engagement on Active Collaborative Learning in a Social Web-Based Environment. Computers & Education, 123, 41-52.

[7]. Oladele, O. K. (2024). The Future of Education: Personalized Learning and Artificial Intelligence.

[8]. Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the Opportunities through ChatGPT tool Towards Ameliorating the Education System. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115.

[9]. Wang, J., Guo, L., Gao, J. Q., & Zhao, H. (2024). How to Build Better Environments that Reinforce adaptation of Online Learning? Evidence from a Large-Scale Empirical Survey of Chinese Universities. Education and Information Technologies, 29(14), 1-23.

[10]. Liu, Z., Zhang, X., Liu, W., Chen, W., Li, Y., & Zhou, Y. (2025). Application and Optimization of Digital Situated Teaching in University Finance Courses from a Constructivist Perspective: An Analysis Based on Machine Learning Algorithms. Education and Information Technologies, 1-30.

[11]. Shute, V. J. (2008). Focus on Formative feedback. Review of Educational Research, 78(1), 153-189.

[12]. Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Springer.

[13]. Maimaiti, G., & Hew, K. F. (2025). Gamification Bolsters Self-Regulated Learning, Learning Performance and Reduces Strategy Decline in Flipped Classrooms: A Longitudinal Quasi-Experiment. Computers & Education, 230, 105278.

[14]. Rollins, S. P. (2020). Teaching Vulnerable Learners: Strategies for Students Who are Bored, Distracted, Discouraged, or Likely to Drop out. W. W. Norton & Company.

[15]. Okafor, J. O. (2025). The Role of Digital Tools in Assessment and Their Impact on Educational Practices. Indonesian Journal of Innovative Teaching and Learning, 2(1), 58-71.

[16]. Pieschl, S., Budd, J., Thomm, E., & Archer, J. (2021). Effects of Raising Student Teachers' Metacognitive Awareness of their Educational Psychological Misconceptions. Psychology Learning & Teaching, 20(2), 214-235.

[17]. Massar, S. A., Pu, Z., Chen, C., & Chee, M. W. (2020). Losses Motivate Cognitive Effort more than Gains in Effort-Based Decision making and Performance. Frontiers in Human Neuroscience, 14, 287.

[18]. Cruz, C. (2021). From Digital Disparity to Educational Excellence: Closing the Opportunity and Achievement Gaps for Low-Income, Black and Latinx students. Harvard Latinx Law Review, 24, 33.

[19]. Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., & Viale, R. (2024). The Impact of Generative Artificial Intelligence on Socioeconomic Inequalities and Policy Making. PNAS Nexus, 3(6), pgae191.

[20]. Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for Educational Practice of the Science of Learning and Development. Applied Developmental Science, 24(2), 97-140.

[21]. Jones, K. M., Asher, A., Goben, A., Perry, M. R., Salo, D., Briney, K. A., & Robertshaw, M. B. (2020). "We're Being Tracked at all Times": Student Perspectives of their Privacy in Relation to Learning Analytics in Higher Education. Journal of the Association for Information Science and Technology, 71(9), 1044-1059.

[22]. Labadie, C., & Legner, C. (2023). Building Data Management Capabilities to Address Data Protection Regulations: Learnings from EU-GDPR. Journal of Information Technology, 38(1), 16- 44.

[23]. Lata, P. (2024). Beyond Algorithms: Humanizing Artificial Intelligence for Personalized and Adaptive Learning. International Journal of Innovative Research in Engineering and Management, 11(5).

[24]. Vygotsky, L. S. (1978). Mind in society: The Development of Higher Psychological Processes. Harvard University Press.

[25]. Morris, R., Perry, T., & Wardle, L. (2021). Formative Assessment and Feedback for Learning in Higher Education: A Systematic Review. Review Of Education, 9(3), e3292.

[26]. Pérez, D. A. P., & Torres, M. C. C. (2022). Virtual Learning Checkpoints: Autonomy and Motivation Boosters in the English Flipped Classroom. In Technology-Enabled Innovations in Education: Select Proceedings of CIIE 2020 (pp. 325-334). Springer Nature Singapore.

[27]. Zhuang, R., Liu, D., Sampson, D., Mandic, D., Zou, S., Huang, Y., & Huang, R. (Eds.). (2023). Smart Education in China and Central & Eastern European Countries. Springer.

[28]. Chen, X., Zou, D., Xie, H., & Wang, F. L. (2021). Past, Present, and Future of Smart Learning: A Topic-Based Bibliometric Analysis. International Journal of Educational Technology in Higher Education, 18(1), 2.

[29]. Zhang, W., & Koshmanova, T. (2021). From Personal Experiences of Transformative Learning on Educational Challenges and Reforms in Secondary School in China. International Journal of Education, 9(3), 33-40.

Cite this article

Yu,T. (2025). The Impact of Digital Resources on Personalized Learning for Students. Lecture Notes in Education Psychology and Public Media,128,14-23.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICILLP 2025 Symposium: Property Law and Blockchain Applications in International Law and Legal Policy

ISBN: 978-1-80590-449-6(Print) / 978-1-80590-450-2(Online)
Editor: Renuka Thakore
Conference date: 21 November 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.128
ISSN: 2753-7048(Print) / 2753-7056(Online)