[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

The role of information and communication technologies in developing a smart campus with its four pillars’ architectural sketch

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

In today’s rapidly evolving technological landscape, educational institutions are at the forefront of integrating smart technologies, inspired by the broader concept of smart cities. The transition to smart campuses, exemplified by the Mohammed VI Polytechnic University (UM6P) case study, is gaining momentum. However, the blueprint for an ideal smart campus is still under exploration. While various studies have proposed innovative models, there’s a need for a cohesive framework that can serve as a foundation for these campuses. The integration of the latest Information and Communication Technology for Education (ICTE) is crucial for the automation of campus facilities. Key technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing, radio-frequency identification (RFID), and Augmented Reality (AR) are central to this transformation. This systematic review delves deep into these technologies, highlighting their collective role in shaping the future of smart campuses. Our research emphasizes that the success of a smart campus is not just about individual technologies but their synergistic application. Recognizing this, we introduce the “Four-Pillar Architectural Framework” for smart campus development, ensuring a holistic approach that encompasses all stakeholders in the educational ecosystem. This framework not only underscores the importance of each technology but also provides a structured approach to their integration. Our study’s primary contribution is this architectural framework, which serves as a roadmap for future research and the development of intelligent systems that enhance the educational experience.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Data availability

The data that support the findings of this study are available from the corresponding author, KB, upon reasonable request.

Abbreviations

ICTE :

Information and Communication Technology for Education

IoT :

Internet of things

AI :

Artificial intelligence

RFID :

Radio-frequency identification

AR :

Augmented reality

HCTS :

Human capital, Context, Technology and Services

SaaS :

Software as a service

PaaS :

Platform as a service

IaaS :

Infrastructure as a Service

UM6P :

Mohammed VI Polytechnic University

References

  • A, D. N. M., & Alrashed, S. (2020). Smart campus—A sketch. Sustainable Cities and Society, 59, Article 102231. https://doi.org/10.1016/j.scs.2020.102231

  • Abbasi, A. (2008). Building a smart university using RFID technology. International Conference on Computer Science and Software Engineering, IEEE, (pp. 641–644).

  • Ahmed, I. (2018). A robust features-based Person Tracker for overhead views in Industrial Environment. IEEE Internet of Things Journal, 5, 1598–1605.

    Article  Google Scholar 

  • Bahdanau, D., Cho, K., & Bengio, Y. (2016). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473. https://arxiv.org/abs/1409.0473

  • Billinghurst, M. & Hirokazu, K. (2002). Collaborative augmented reality. Commun. ACM 45(7), 64–70. https://doi.org/10.1145/514236.514265

  • Burange, A. (2015). Review of internet of things in development of smart cities with data management & privacy. International Conference on Advances in Computer Engineering and Applications, (pp. 189–195). IEEE.

  • Chen, X. D. (2016). Benchmarking deep reinforcement learning for continuous control. International Conference on Machine Learning (pp. 1329–1338).

  • D'Souza, M., Wark, T., Karunanithi, M. & Ros, M. 2013, 'Evaluation of realtime people tracking for indoor environments using ubiquitous motion sensors and limited wireless network infrastructure', Pervasive and Mobile Computing, 9(4), pp. 498–515

  • Dong, Z. Y., Zhang, Y., Yip, C., Swift, S., & Beswick, K. (2020). Smart campus: Definition, framework, technologies, and services. IET Smart Mobility, 2(1), 43–54. https://doi.org/10.1049/iet-smc.2019.0072

  • Duan, Y., Chen, X., Houthooft, R., Schulman, J., & Abbeel, P. (2016). Benchmarking deep reinforcement learning for continuous control. arXiv preprint arXiv:1604.06778. https://arxiv.org/abs/1604.06778

  • Ercan, T. (2010). Effective use of cloud computing in educational institutions. Procedia - Social and Behavioral Sciences, 2(2), 938–942. https://doi.org/10.1016/j.sbspro.2010.03.130

  • Faritha, J. (2020). IoT based Cloud Integrated Smart Classroom for smart and a sustainable campus. Procedia Computer Science, 172, 77–81.

    Article  Google Scholar 

  • Fasihuddin, H. S. (2012). A holistic review of cloud-based e- learning system. Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), IEEE, (pp. H1C-6).

  • Fernández-Caramés, T. M., & Fraga-Lamas, P. (2019). Towards next generation teaching, learning, and context-aware applications for higher education: A review on blockchain, IoT, fog and edge computing enabled smart campuses and universities. Applied Sciences, 9(21), 4479. https://doi.org/10.3390/app9214479

  • Graesser, A. C. (2016). Conversations with AutoTutor help students learn. International Journal of Artificial Intelligence in Education, 26(1), pp. 124–132

  • Hafsa, S., & Abdul Majid, M. (2020). Learnability factors for investigating the effectiveness of augmented reality smart glasses in smart campus. In IOP Conference series: Materials science and engineering, 958 [World Symposium on Smart Materials and Applications (WSSMA 2020), 17-19 July 2020, Harbin, China] (Article No. 012005). IOP Publishing. https://doi.org/10.1088/1757-899X/958/1/012005

  • Hu, X. J. S. (2022). Research on the application of internet of things and artificial intelligence technology in smart classroom. International Conference on Applied Physics and Computing (ICAPC), 418–425.

  • Huang, C. (2017). On study of building smart campus under conditions of cloud computing and internet of things. IOP Conference Series: Earth and Environmental Science (Vol. 100, p. 012118). IOP Publishing.

    Google Scholar 

  • Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). Making it real: Exploring the potential of Augmented Reality for teaching primary school science. Virtual Reality, 10, 163–174. https://doi.org/10.1007/s10055-006-0036-4

  • Klopfer, E., & Yoon, S. (2004). Developing games and simulations for today and tomorrow’s tech savvy youth. TechTrends, 49, 33–41. https://doi.org/10.1007/BF02763645

  • Kong, W., Dong, Z. Y., Jia, Y., Hill, D., Xu, Y., & Zhang, Y. (2017). Short-term residential load forecasting based on LSTM recurrent neural network. IEEE Transactions on Smart Grid, pp. 1–1. https://doi.org/10.1109/TSG.2017.2753802

  • Kourgiozou, V. C. (2021). Scalable pathways to net zero carbon in the UK higher education sector: A systematic review of smart energy systems in university campuses. Renewable and Sustainable Energy Reviews, 111234.

  • Kwok, L. F. (2015). A vision for the development of i-campus. Smart Learning Environments, 2, Article 2. https://doi.org/10.1186/s40561-015-0009-8

  • Langley, D. J., van Doorn, J., Ng, I. C. L., Stieglitz, S., Lazovik, A., & Boonstra, A. (2021). The Internet of Everything: Smart things and their impact on business models. Journal of Business Research, 122, 853–863. https://doi.org/10.1016/j.jbusres.2019.12.035

  • Li, Y. (2020). Research on building smart campus based on cloud computing technology. In 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) (pp. 723–726).

  • Lin, P. H. (2018). Exploring imaginative capability and learning motivation difference through picture E-book. IEEE Access, IEEE, (pp. 63416–63425).

  • Liu, Y., Zhang, W., & Dong, P. (2014). Research on the construction of smart campus based on the internet of things and cloud computing. Applied Mechanics and Materials, 543–547, 3213–3217. https://doi.org/10.4028/www.scientific.net/AMM.543-547.3213

  • Mazlan, M. R. (2018). Reconfigurable base station towards the evolution of smart campus. IEEE 4th International Symposium on Telecommunication Technologies (ISTT), IEEE, (pp. 1–5).

  • Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., & Riedmiller, M. (2013). Playing Atari with Deep Reinforcement Learning. arXiv preprint arXiv:1312.5602. https://arxiv.org/abs/1312.5602

  • Muhamad, W. K. (2017). Smart campus features, technologies, and applications: A systematic literature review. International Conference on Information Technology Systems and Innovation (ICITSI), IEEE, (pp. 384–391).

  • Peter, M. R. (2022). What is a Smart City anyways? Retrieved from IMD: https://www.imd.org/research-knowledge/articles/what-is-a-smart-city-anyways/

  • Polin, K., Yigitcanlar, T., Limb, M., & Washington, T. (2023). The making of smart campus: A review and conceptual framework. Buildings, 13, 891. https://doi.org/10.3390/buildings13040891

  • Poongothai, M. P. M. (2018). Design and implementation of IoT based smart laboratory. 5th International Conference on Industrial Engineering and Applications, 169–173.

  • Qurtubi, A. (2022). Digital-Based Smart Campus at Telkom University, Indonesia. Education Quarterly Reviews, 5(3). Available at SSRN: https://ssrn.com/abstract=4198778

  • Rani, K. N. A. (2021). Mobile green E-waste management systems using IoT for smart campus. Journal of Physics: Conference Series, 1962.

  • Ren, G. Z. (2018). Articulatory-acoustic analyses of mandarin words in emotional context speech for smart campus. Ieee Access : Practical Innovations, Open Solutions, (pp. 48418–48427).

  • Sari, M. C. (2017). Study of smart campus development using internet of things technology. Conference Series: Materials Science and Engineering, 190. IOP Publishing.

  • Shelton, B. (2002). Using augmented reality for teaching earth- sun relationships to undergraduate geography students. The First IEEE International Workshop Agumented Reality Toolkit, IEEE, (pp. 8–9).

  • Shimmary, M. K., Nayar, M. M., & Kubba, A. R. (2015). Designing smart university using RFID and WSN. International Journal of Computer Applications, 112, 34–39. https://doi.org/10.1007/s10639-023-12445-6

  • Sutjarittham, T., Habibi Gharakheili, H., Kanhere, S., & Sivaraman, V. (2019). Experiences with IoT and AI in a smart campus for optimizing classroom usage. IEEE Internet of Things Journal, pp. 1–1. https://doi.org/10.1109/JIOT.2019.2902410

  • Valks, B., Arkesteijn, M. H., Koutamanis, A., & den Heijer, A. C. (2020). Towards a smart campus: Supporting campus decisions with internet of things applications. Building Research and Information, 49, pp 1–20.

  • Wang, H. (2013). Toward a green campus with the internet of things-the application of lab management. World, pp. 8–9.

  • Yasmin, R., Mikhaylov, K., & Pouttu, A. (2020). LoRaWAN for smart campus: Deployment and long-term operation analysis. Sensors, 20(23), 6721. https://doi.org/10.3390/s20236721

    Article  Google Scholar 

  • Yu, J. Z. (2019). Research progress of construction of Smart Campus. In Journal of Physics: Conference Series. 1345, p. p. 042021. IOP Publishing.

  • Yuen, S. C., Yaoyuneyong, G., & Johnson, E. (2011). Augmented Reality: An overview and five directions for AR in education. Journal of Educational Technology Development and Exchange (JETDE), 4(1). https://doi.org/10.18785/jetde.0401.10

  • Zheng, L. S. (2018). A new mutual authentication protocol in mobile RFID for smart campus. IEEE Access, IEEE, (pp. 60996–61005).

Download references

Acknowledgements

The authors acknowledge the significant assistance provided by the staff of Mohammed VI Polytechnic University in developing the framework of four pillars. Additionally, we would like to express our gratitude to all the students who took part in the study by offering insightful inputs.

Funding

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

KB analyzed and interpreted the interview data, and created the framework of four pillars, and was a major contributor in writing the manuscript, NE, NC supervised the project, all authors read and approved the final manuscript.

Corresponding author

Correspondence to Khalid Baba.

Ethics declarations

Financial interests

The authors declare they have no financial interests. 

Competing interests

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Baba, K., Elfaddouli, Ne. & Cheimanoff, N. The role of information and communication technologies in developing a smart campus with its four pillars’ architectural sketch. Educ Inf Technol 29, 14815–14833 (2024). https://doi.org/10.1007/s10639-023-12445-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-023-12445-6

Keywords

Navigation