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Monitoring and Controlling Student’s behavior in Online Education

Sherif Kamel Hussein, Khalid Jumaan Aldamashg, Ahmed Saad AlSaadan, ,

Affiliations
1: Associate Professor- Department of Communications and Computer Engineering, October University for Modern Sciences and Arts, Giza, Egypt Head Of Computer Department – Arab East Colleges – Riyadh- KSA ; 2: Master of computer science, Arab east college, Riyadh, kingdom of Saudi Arabia ; 3: Master of computer science, Arab east college, Riyadh, kingdom of Saudi Arabia

:https://doi.org/10.22362/ijcert/2021/v8/i8/v8i801

Abstract

Distance Learning may lose monitoring the learning process such as lack of direct follow-up to the study on the website and the lack of direct communication with the trainer. In this research the Authors will discuss multiple solutions that may help the governance of Distance Learning ( DL) by using some of the available software solutions and modern technologies, such as AI and FURIA that help in achieving the goals in the research as an enhancement method of E-learning. The results of the research reached by the authors were the possibility of monitoring the educational process of distance education using some modern technologies such as the FURIA algorithm and DLIB library, which enables face reading and analysis while maintaining privacy and security for the student, which helps to overcome weaknesses and increase confidence between the educational facility and the trainee, in addition to some Improvements that develop distance education on different educational platforms.

Citation

Sherif Kamel Hussein, Khalid Jumaan Aldamashg, Ahmed Saad AlSaadan." Monitoring and Controlling Student’s behavior in Online Education". International Journal of Computer Engineering In Research Trends (IJCERT) , ISSN:2349-7084,Vol.8, Issue 09,pp.122-128, August- 2021, https://ijcert.org/ems/ijcert_papers/V8I801.pdf

Keywords : Distance Learning (DL), Fuzzy Unordered Rule Induction Algorithm (FURIA), Learning Management System (LMS), electronic learning (E-learning), Modular object-oriented dynamic learning environment (Moodle), Gabor Wavelet (GW).

References

[1]https://www.taylorfrancis.com/books/e/9781410609519/chapters/10.4324/9781410609519-22.

[2]https://thesai.org/Downloads/Volume7No12/Paper_46-Credibility_Evaluation_of_Online_Distance_Education_Websites.pdf

[3] Chen, C., Yang, J., Tang, X., Song, N., & Lu, J. (2019, June). The Application of Distance Education based on QR Code. In 3rd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2019). Atlantis Press.?
[4] He, W., Xu, G., & Kruck, S. E. (2019). Online IS education for the 21st century. Journal of Information Systems Education, 25(2), 1.?
[5] Estacio, R. R., & Raga Jr, R. C. (2017). Analyzing students online learning behavior in blended courses using Moodle. Asian Association of Open Universities Journal.?
[6] Cavus, N. (2015). Distance learning and learning management systems. Procedia-Social and Behavioral Sciences, 191(2), 872-877.?
[7] Pardo, A., Han, F., & Ellis, R. A. (2016). Combining university student self-regulated learning indicators and engagement with online learning events to predict academic performance. IEEE Transactions on Learning Technologies, 10(1), 82-92.?
[8] Leontyeva, Irina A. "Modern distance learning technologies in higher education: Introduction problems." Eurasia journal of mathematics, science and technology education 14.10 (2018): em.
[9] W. v. d. V. W. W. Kiavash Bahreini, "A fuzzy logic approach to reliable real-time recognition of facial emotions," 6 February 2019.
[10] P. I. R. a. MUNEESWARAN, "Emotion recognition based on facial components," 28 march 2018.

DOI Link : https://doi.org/10.22362/ijcert/2021/v8/i8/v8i801

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Citations Indices	All
Citations	1026
h-index	14
i10-index	20
Source: Google Scholar

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