Abstract
In this workshop position paper, we identify the importance of a proposed system to monitor and assess diabetic students using Internet of Things (IoT) technology and a decision support system. We survey the current studies on the application of IoT in the Saudi Arabian educational system and related work. The model of Unified Theory of Acceptance and Use of Technology will be used to specify the critical factors that affect the use of the system for diabetic students in Saudi Arabian high schools. Finally, our research is at the beginning phase, so future work will identify the academic issues of the diabetic students and factors that affect the system usage by using a mixed method approach. In addition, the proposed decision tree algorithm will be implemented and evaluated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abbas, S.A., Mohammed, H., Almalki, L., Hassan, M., Meccawy, M.: A safety tracking and sensoring system for school buses in Saudi Arabia. Period. Eng. Nat. Sci. 7(2), 500–508 (2019)
Abed, S., Alyahya, N., Altameem, A.: IoT in education: its impacts and its future in saudi universities and educational environments. In: Luhach, A.K., Kosa, J.A., Poonia, R.C., Gao, X.-Z., Singh, D. (eds.) First International Conference on Sustainable Technologies for Computational Intelligence. AISC, vol. 1045, pp. 47–62. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-0029-9_5
Dahlquist, G., Källén, B.: Swedish childhood diabetes study group: school performance in children with type 1 diabetes—a population-based register study. Diabetologia 50(5), 957–964(2007)
Facchinetti, A., et al.: Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept. Diabetes Care 36(4), 793–800 (2013)
Holmes, C.S., Fox, M.A., Cant, M.C., Lampert, N.L., Greer, T.: Disease and demographic risk factors for disrupted cognitive functioning in children with insulin-dependent diabetes mellitus (IDDM). Sch. Psychol. Rev. 28(2), 215–227 (1999)
Shiu, S.: Issues in the education of students with chronic illness. Int. J. Disabil. Dev. Educ. 48(3), 269–281 (2001)
Varni, J.W., Curtis, B.H., Abetz, L.N., Lasch, K.E., Piault, E.C., Zeytoonjian, A.A.: Content validity of the PedsQLTM 3.2 Diabetes Module in newly diagnosed patients with type 1 diabetes mellitus ages 8–45. Qual. Life Res. 22(8), 2169–2181 (2012). https://doi.org/10.1007/s11136-012-0339-8
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Alotaibi, M., Joy, M. (2021). Internet of Things (IoT) Based Support System for Diabetic Learners in Saudi Arabian High Schools. In: Cristea, A.I., Troussas, C. (eds) Intelligent Tutoring Systems. ITS 2021. Lecture Notes in Computer Science(), vol 12677. Springer, Cham. https://doi.org/10.1007/978-3-030-80421-3_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-80421-3_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-80420-6
Online ISBN: 978-3-030-80421-3
eBook Packages: Computer ScienceComputer Science (R0)