2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 16 , Issue 2 , PP: 325-344, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Nasser El-Kanj 1 * , Chadi El Nar 2 , Marina Abdurashidova 3
Doi: https://doi.org/10.54216/JISIoT.160223
The research evaluates the effects, which cloud computing and digital educational methods have on scholarly performance. The research used descriptive statistics combined with t-tests alongside ANOVA and regression analysis for interpreting the data findings. The collected data shows students use cloud computing moderately and employ digital education extensively although their educational outcomes stay average. Cloud computing usage exhibited similar levels of acceptance between male and female students however, students from arts streams programs demonstrated increased interest. Cloud computing usage along with digital education experienced superior adoption rates among students residing in rural areas than students settled in urban areas. Research data showed a major statistical linkage between digital education and the levels of academic performance. The educational institution types together with parental work status shaped student interaction with digital educational resources. The study's findings highlight the significant roles played by cloud computing and online learning in raising students' academic performance. The research implies that mixing technology with current education practices will boost educational results while demonstrating why digital competence stands vital in present-day education systems. Academic achievement rates improved in direct proportion to the amount of digital education use by students alongside the fact that private institution students demonstrated higher application of cloud computing platforms and female students demonstrated superior academic outcomes when compared to male students. Numerous students adopt both cloud computing systems and digital education methods because such technology usage is prevalent at accuracy 91.4% of the total students. Out of all the analyses done in the research, the overall F1-score is 92.5, and the fault tolerance of 93.8%.
Cloud Computing , Digital Education , Student Achievement , Technology Integration , Learning Tools , Academic Performance , Educational Technology
[1] S. Hakak et al., "Cloud-assisted gamification for education and learning—Recent advances and challenges," Comput. Electr. Eng., vol. 74, pp. 22–34, Mar. 2019.
[2] N. H. Heurteloup and K. Moustaghfir, "Exploring the barriers to e-learning adoption in higher education: A roadmap for successful implementation," Int. J. Manage. Educ., vol. 14, no. 2, pp. 159–182, 2020.
[3] W. Z. Khan et al., "Edge computing: A survey," Future Gener. Comput. Syst., vol. 97, pp. 219–235, Aug. 2019.
[4] L. Teng, Q. Tan, and A. Ehsani, "Assessing the impact of cultural characteristics, economic situations, skills, and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era," Kybernetes, vol. 51, no. 9, pp. 2795–2813, 2022.
[5] Y. Liu et al., "Spectral-efficient hybrid precoding for multi-antenna multi-user mmWave massive MIMO systems with low complexity," EURASIP J. Wireless Commun. Netw, vol. 2022, no. 66, Jul. 2022.
[6] R. Wang et al., "Gaze-based assessment of dyslexic students’ motivation within an e-learning environment," in Proc. IEEE SmartWorld, Ubiquitous Intell. Comput, Adv. Trusted Comput, Scalable Comput. Commun, Cloud Big Data Comput, Internet People Smart City Innov, 2019, pp. 1–4.
[7] M. Muhic, L. Bengtsson, and J. Holmström, "Barriers to continuance use of cloud computing: Evidence from two case studies," Inf. Manage., vol. 60, no. 5, Jul. 2023, Art. no. 103792.
[8] S. H. Kim, S. Y. Jang, and K. H. Yang, "Analysis of the determinants of Software-as-a-Service adoption in small businesses: Risks, benefits, and organizational and environmental factors," J. Small Bus. Manage, vol. 55, no. 2, pp. 303–325, 2017.
[9] V. Tsiligiris and D. B.-A, "Exploring the impact of 4IR on skills and personal qualities for future accountants: A proposed conceptual framework for university accounting education," Educ. Train., vol. 30, no. 6, pp. 621–649, 2021.
[10] S. S. Gupta et al., "Diabetes estimation through data mining using optimization, clustering, and secure cloud storage strategies," SN Comput. Sci., vol. 5, no. 781, 2024.
[11] A. N. Handayani et al., "Development of e-Collab classroom for CNN practice on electrical engineering, Universitas Negeri Malang," in Proc. 4th Int. Conf. Vocational Educ. Training (ICOVET), Sep. 2020, pp. 47–51.
[12] J. H. Serna Gómez et al., "Advances, opportunities, and challenges in the digital transformation of HEIs in Latin America," in Radical Solutions for Digital Transformation in Latin American Universities: Artificial Intelligence and Technology 4.0 in Higher Education, D. Burgos and J. W. Branch, Eds. Singapore: Springer, 2021, pp. 55–75.
[13] M. H. Kayali, N. Safie, and M. Mukhtar, "Literature review of cloud-based e-learning adoption by students: State of the art and direction for future work," in Proc. Int. Eng. Res. Innov. Symp, vol. 160, 2016, Art. no. 012087.
[14] K. D. Singh, "Particle Swarm Optimization assisted Support Vector Machine based diagnostic system for dengue prediction at the early stage," in Proc. 3rd Int. Conf. Adv. Comput. Commun. Control Netw. (ICAC3N), 2021, pp. 844–848.
[15] V. Roy and S. Shukla, "Effective EEG motion artifacts elimination based on comparative interpolation analysis," Wireless Pers. Commun, vol. 97, pp. 6441–6451, 2017.
[16] R. T. H. Farouk, "Studying the effect of using e-learning through secure cloud computing systems," in The Challenges of the Digital Transformation in Education, vol. 2. Cham, Switzerland: Springer, 2019, p. 54.
[17] Y. A. M. Qasem et al., "A multi-analytical approach to predict the determinants of cloud computing adoption in higher education institutions," Appl. Sci., vol. 10, no. 14, p. 4905, Jul. 2020.
[18] Z. Guo, Y. Rao, and F. L. Wang, "Social network application development based on cloud computing for Web-based learning," in Current Developments in Web Based Learning, Guangzhou, China, Z. Gong, D. K. W. Chiu, and D. Zou, Eds. Cham, Switzerland: Springer, 2016, pp. 134–139.
[19] M. Bhardwaj and K. D. Singh, "Study on efficient service broker policy for data center selection analyst for education system using cloud computing," in Internet of Things and Its Applications: Select Proc. ICIA 2020, pp. 35–45, 2022.
[20] V. Roy et al., "Network physical address based encryption technique using digital logic," Int. J. Sci. Technol. Res., vol. 9, no. 4, pp. 3119–312
[21] H. U. Khan, F. Ali, and S. Nazir, "Systematic analysis of software development in cloud computing perceptions," J. Softw. Evol. Process, vol. 2022, pp. 1–26, Jun. 2022.
[22] N. Samyan and P. O. St Flour, "The impact of cloud computing on e-learning during COVID-19 pandemic," Int. J. Stud. Educ. Sci. (IJSES), vol. 2, no. 2, pp. 146–172, 2021.
[23] A. Zaidan et al., "A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: Coherent taxonomy, open issues and recommendation pathway solution," Health Technol., vol. 8, no. 4, pp. 223–238, 2018.
[24] S. K. Sood and K. D. Singh, "Optical fog-assisted smart learning framework to enhance students' employability in engineering education," Comput. Appl. Eng. Educ., vol. 27, no. 5, pp. 1030–1042, 2019.
[25] H. Eljak et al., "E-Learning-Based Cloud Computing Environment: A Systematic Review, Challenges, and Opportunities," IEEE Access, vol. 12, pp. 7329–7355, 2024.
