Topic 1: Privacy Concerns in Distributed and Open Learning

The COVID-19 pandemic has sparked unprecedented large-scale online teaching practices. Education blurs the boundaries between school, home and society, meaning it can take place anywhere. Blended learning has been widely used in local learning in recent years. Before Covid-19, Victoria University had only a handful of online courses, and now the integration of blended learning is more common. I strongly agree with this in reading: the advantages of integrating face-to-face synchronous communication and text-based online asynchronous communication are powerful complements for higher education purposes (Vaughan et al., 2013). Blended learning somehow better combines the advantages of traditional learning and online learning, and professors and students have more independence to think about textual content.

However, in the mode of combining modern education with traditional education, the issue of privacy is worthy of our attention. I can understand the intent of the student classification and tracking presented in “Edtech, Big Data, and the Ethical Challenges of Personalized Learning: Classifying and Tracking Students in the Twenty-First Century,” but it would be a massive collection of The relevant privacy content of students, and the classification of students according to big data, this is undoubtedly an unfair manifestation of students. Some students have different learning resources due to different economic or social status, which does not mean that the student is not smart or hardworking.

The generation of “big data” is also a reflection of the usage of apps in our daily life. Our usual browsing and online purchase records are transmitted to the database, which also means that different people will receive completely different content based on the database. The school also classifies students according to this model. When I was in high school, the school would classify the class according to the students’ situation to select the elite class and the second-best class. The teachers in the class would also make the corresponding seats according to the students’ families. This is undoubtedly a manifestation of injustice to students. Many students are neglected by the school because of their family’s economic or social status. This does not mean that the student is a stupid student.

The “invisibility” and lack of understanding/ambiguity of tracking through EdTech is part of the larger problem today. The problem here is the inability to critically address the looming problems of these systems because they are ignored or obscured. We should review these processes to prevent fragmented systems caused by factors such as socioeconomic status.

Reference

Regan, P., & Jesse, J. (2019). Ethical challenges of edtech, big data and personalized learning: Twenty-first century student sorting and tracking. Ethics and Information Technology, 21(3), 167-179. DOI: 10.1007/s10676-018-9492-2

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