Impact of emerging technologies on cognitive development

the mediating role of digital social support among higher education students




Emerging technology, Cognitive development, Digital social support, Higher education students


The aim of the current study is to explore the direct and indirect relationships between emerging technology and cognitive development. This study utilized a cross-sectional research design, employing a questionnaire survey approach for data collection from students in higher education. The multi-point Likert scale was used to measure emerging technology, cognitive development, and digital social support. Data were collected from 500 students, both male and female, studying at Chinese universities. The PLS-SEM approach was applied to analyze the structural relationship among the given variables in this research study. Findings of the study indicated that emerging technology has a positive and significant relationship with cognitive development, and that digital social support positively and significantly mediates the connection between emerging technology and cognitive development among higher education students. It was concluded that both emerging technology and digital social support are predictors of students' cognitive development at the higher education level. The study contributes to the literature on emerging technology, cognitive development, and digital social support in the context of higher education. This study provides valuable theoretical and practical implications for teachers, psychologists, and curriculum developers at the higher education level.



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Antoniou, P. E., Sidiropoulos, E. A., & Bamidis, P. D. (2017). DISCOVER-ing Beyond OpenSim; Immersive Learning for Carers of the Elderly in the VR/AR era. Immersive Learning Research Network: Third International Conference, iLRN 2017, Proceedings 3, Coimbra, Portugal, June 26–29, 2017.

Bistaman, I. N. M., Idrus, S. Z. S., & Abd Rashid, S. (2018). The use of augmented reality technology for primary school education in Perlis, Malaysia. Journal of Physics: Conference Series.

Borthwick, A. C., Foulger, T. S., & Graziano, K. J. (2022). Championing technology infusion in teacher preparation: A framework for supporting future educators. International Society for Technology in Education.

Bosch, C., & Laubscher, D. J. (2022). Promoting Self-Directed Learning as Learning Presence through Cooperative Blended Learning. International Journal of Learning, Teaching and Educational Research, 21(9), 17-34.

Brown, S., Carbone, J. T., Hicks, L. M., Saini, E. K., Panisch, L. S., & Dayton, C. J. (2023). The Moderating Role of Social Support on the Cortisol Stress Response of Expectant Fathers Exposed to Adverse Childhood Experiences. Journal of Family Violence, 1-11.

Bygstad, B., Øvrelid, E., Ludvigsen, S., & Dæhlen, M. (2022). From dual digitalization to digital learning space: Exploring the digital transformation of higher education. Computers & Education, 182, 104463.

Chen, F., Sakyi, A., & Cui, Y. (2022). Identifying Key Contextual Factors of Digital Reading Literacy Through a Machine Learning Approach. Journal of Educational Computing Research, 60(7), 1763-1795.

Ciccone, M., & Brayton, S. (2022). Complexities with Bridging the Digital Divide. Media Literacy for Justice: Lessons for Changing the World. Communication Graduate Student Publication Series.

DeWitt, D., & Alias, N. (2023). Creative Digital Pedagogies for Student Engagement: Preparing Students for Industry 4.0. In Digitalization and Development (pp. 112-132). Routledge.

Dunn, L. B., Iglewicz, A., & Moutier, C. (2008). A conceptual model of medical student well-being: promoting resilience and preventing burnout. Academic Psychiatry, 32, 44-53.

Getuli, V., Capone, P., Bruttini, A., & Isaac, S. (2020). BIM-based immersive Virtual Reality for construction workspace planning: A safety-oriented approach. Automation in Construction, 114.

Graesser, A. C., Sabatini, J. P., & Li, H. (2022). Educational psychology is evolving to accommodate technology, multiple disciplines, and Twenty-First-Century skills. Annual review of psychology, 73, 547-574.

Hennekens, C. H., & Buring, J. E. (1987). Epidemiology in medicine. In Epidemiology in medicine (pp. 383-383). Little Brown and Company.

Hooper, D., Coughlan, J., & Mullen, M. (2008). Evaluating model fit: a synthesis of the structural equation modelling literature. (pp.195-200). 7th European Conference on research methodology for business and management studies.

Ilić, M. P., Păun, D., Popović Šević, N., Hadžić, A., & Jianu, A. (2021). Needs and performance analysis for changes in higher education and implementation of artificial intelligence, machine learning, and extended reality. Education Sciences, 11(10), 568.

Javornik, A., Marder, B., Barhorst, J. B., McLean, G., Rogers, Y., Marshall, P., & Warlop, L. (2022). ‘What lies behind the filter?’Uncovering the motivations for using augmented reality (AR) face filters on social media and their effect on well-being. Computers in Human Behavior, 128, 107126.

Klimova, B. (2016). Computer-based cognitive training in aging. Frontiers in Aging Neuroscience, 8, 313.

Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The relationship between cell phone use and academic performance in a sample of US college students. Sage Open, 5(1),

Liao, C.-H., & Wu, J.-Y. (2022). Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance. Computers & Education, 190.

López-González, M. (2023). 69 Emotional creativity. Language and Emotion, 3 (43), 1437.

Marques, B., Silva, S., Alves, J., Rocha, A., Dias, P., & Santos, B. S. (2022). Remote collaboration in maintenance contexts using augmented reality: Insights from a participatory process. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-20.

Memon, M. A., Ramayah, T., Cheah, J.-H., Ting, H., Chuah, F., & Cham, T. H. (2021). PLS-SEM statistical programs: a review. Journal of Applied Structural Equation Modeling, 5(1), 1-14.

Ochonogor, W. C., & Mutula, S. M. (2020). The use of social media by medical librarians for inclusive engagement in the management of HIV/AIDS in Nigeria university teaching hospitals. In Handbook of research on digital devices for inclusivity and engagement in libraries (pp. 1-24). IGI Global.

Pandey, P., & Pandey, M. M. (2021). Research methodology tools and techniques. Bridge Center.

Pellas, N., Dengel, A., & Christopoulos, A. (2020). A scoping review of immersive virtual reality in STEM education. IEEE Transactions on Learning Technologies, 13(4), 748-761.

Peters, M., & Romero, M. (2019). Lifelong learning ecologies in online higher education: Students' engagement in the continuum between formal and informal learning. British Journal of Educational Technology, 50(4), 1729-1743.

Popat, A., & Tarrant, C. (2023). Exploring adolescents’ perspectives on social media and mental health and well-being–A qualitative literature review. Clinical child psychology and psychiatry, 28(1), 323-337.

Sharma, P., & Devkota, G. (2019). Mental health screening questionnaire: A study on reliability and correlation with perceived stress score. Journal of Psychiatrists' Association of Nepal, 8(2), 4-8.

Shokoohi-Yekta, M., Lotfi, S., Rostami, R., Motamed-Yeganeh, N., Khodabandeh-Lou, Y., & Habibnezhad, M. (2013). Brain Training by BrainWare® Safari: The Transfer Effects on the Visual Spatial Working Memory of Students with Reading Problems. AWERProcedia Information Technology & Computer Science. [Online]. 2013, 04, 1046-1052

Small, G. W., Lee, J., Kaufman, A., Jalil, J., Siddarth, P., Gaddipati, H., Moody, T. D., & Bookheimer, S. Y. (2022). Brain health consequences of digital technology use. Dialogues in clinical neuroscience, 22(2), 179-187.

Smeets, L., Gijselaers, W., Meuwissen, R., & Grohnert, T. (2022). Exploring the link between learning from error climate and professionals' engagement in social learning activities after errors. Baltic Journal of Management, 17(3), 413-428.

Sosa, O., Salinas, J., & De Benito, B. (2022). Emerging technologies (ETs) in education: A systematic review of the literature published between 2006 and 2016. International Journal of Emerging Technologies in Learning, 2017, 12(5), 128-149.

Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021). The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry, 20(3), 318-335.

Vaingankar, J. A., van Dam, R. M., Samari, E., Chang, S., Seow, E., Chua, Y. C., Luo, N., Verma, S., & Subramaniam, M. (2022). Social Media–Driven Routes to Positive Mental Health Among Youth: Qualitative Enquiry and Concept Mapping Study. JMIR pediatrics and parenting, 5(1), e32758.

Zheng, G., Song, Y., & Chen, C. (2022). Height measurement with meter wave polarimetric MIMO radar: signal model and MUSIC-like algorithm. Signal processing, 190, 108344.

Zhu, J., Yuan, H., Zhang, Q., Huang, P.-H., Wang, Y., Duan, S., Lei, M., Lim, E. G., & Song, P. (2022). The impact of short videos on student performance in an online-flipped college engineering course. Humanities and Social Sciences Communications, 9(1), 1-10.



How to Cite

Khan, A., Zeb, I., Zhang, Y., & Tahir. (2023). Impact of emerging technologies on cognitive development: the mediating role of digital social support among higher education students. IJERI: International Journal of Educational Research and Innovation, (20), 1–15.