Global Triumph or Exploitation of Security and Privacy Concerns in E-Learning Systems

Author(s):  
Asim Majeed ◽  
Said Baadel ◽  
Anwar Ul Haq
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dina El-Bassiouny ◽  
Noha El-Bassiouny

Purpose E-learning has become a predominant platform for education as a result of the COVID-19 pandemic. Yet, privacy issues have emerged from online learning that posed challenges on the users of e-learning systems. Privacy preservation in Muslim-majority countries with conservative cultures was a concern based on socio-cultural norms. This paper aims to analyze this situation through the lens of social identity theory. Design/methodology/approach This practice paper represents a conceptual viewpoint. Findings In this paper, the authors offer recommended solutions as best practices for Muslim-majority countries and similar contexts. Such proposed solutions consider social and cultural influences in e-learning systems to have an effective education process. Originality/value This practice paper is unique in its approach, as it documents the privacy concerns in Muslim-majority countries during the COVID-19 pandemic.


2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.


i-com ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 197-216 ◽  
Author(s):  
Verena Zimmermann ◽  
Paul Gerber ◽  
Karola Marky ◽  
Leon Böck ◽  
Florian Kirchbuchner

AbstractSmart Home technologies have the potential to increase the quality of life, home security and facilitate elderly care. Therefore, they require access to a plethora of data about the users’ homes and private lives. Resulting security and privacy concerns form a relevant barrier to adopting this promising technology. Aiming to support end users’ informed decision-making through addressing the concerns we first conducted semi-structured interviews with 42 potential and little-experienced Smart Home users. Their diverse concerns were clustered into four themes that center around attacks on Smart Home data and devices, the perceived loss of control, the trade-off between functionality and security, and user-centric concerns as compared to concerns on a societal level. Second, we discuss measures to address the four themes from an interdisciplinary perspective. The paper concludes with recommendations for addressing user concerns and for supporting developers in designing user-centered Smart Home technologies.


2020 ◽  
Vol 10 (3) ◽  
pp. 1-34
Author(s):  
Ruijie Wang ◽  
Liming Chen ◽  
Ivar Solheim

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106807
Author(s):  
Abdelaziz Ouajdouni ◽  
Khalid Chafik ◽  
Omar Boubker

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