Data mining, data, GDPR General Data Protection Regulation, student privacy, privacy, innovation, EDM Educational Data Mining, consent, educational data, artificial intelligence, ethics, education, data mining practices, human rights, data protection
Data mining is now part of many areas in the modern world, including education. This can be seen through Educational Data Mining (EDM). It involves gathering data from educational settings and studying it systematically to find patterns, make predictions or understand things better. Even though data mining has great potential for improving learning results and customizing education experiences, it also creates a range of ethical issues that require careful investigation.
[...] Potgieter's study emphasizes the delicate balance between the promises of educational data mining and the potential risks of intrusion and misuse inherent in data collection activities. The paper highlights various privacy concerns associated with learning analytics, including the threats of data breaches, unauthorized access, and algorithmic bias. Furthermore, it underscores the importance of transparency, accountability, and informed consent in addressing privacy issues within initiatives related to mining education data. By critically examining these ethical dilemmas and advocating for ethical practices, Potgieter's research contributes to the ongoing discourse on responsible data mining in educational settings. [...]
[...] These tactics can ensure students' online privacy rights are respected while the academic environment of an educational facility is kept intact by the collected information. Also, the establishment of these data protection tools is not only designed for the purpose of data protection, but also for promoting trust and transparency in the educational processes. Students who sense that their private data is treated accurately and in an ethical manner are more inclined to contribute to learning and interact constructively with one's peers. [...]
[...] Creating transparency regarding the rights of personal data used is the required step to stop any unfairness and ensure equal opportunities among the young generation. Besides, a statement of concerns about the possible wrong use of data also underlines the necessity of ethical precautions and regulatory ecosystem (Nemati, 2013). By monitoring digital signals without permission, discriminating, or infringing, the extracted data pertaining to these minor students' learning rhythms and well-being can hamper the learning. Thus, ethical standards and operational procedures go a long way in preventing abuse that result from data mining practices. [...]
[...] Ethical Considerations in Educational Data Mining A. Consent The landscape of technology nowadays is just one of the instances where the use of data mining becomes a pivotal element in areas such as education where Educational Data Mining gains main importance (and et al., 2017). This strategy implies a systematized gathering, analyzing, and interpreting of data which is majorly collected in the educational milieu. Undoubtedly, the mining of data is a way of boosting the effectiveness of teaching and tailoring education processes while facing such ethical problems as data privacy protection, security breaches, and privacy violations. [...]
[...] IGI Global. Durak, G., & Cankaya, S. (2023). Perspectives on Learning Analytics for Maximizing Student Outcomes. IGI Global. Elatia, S., Ipperciel, D., & Osmar Zai?ane. (2016). Data mining and learning analytics: applications in educational research. John Wiley & Sons, Inc. Hilbert, S., Coors, S., Kraus, E., Bischl, B., Lindl, A., Frei, M., Wild, J., Krauss, S., Goretzko, D., & Stachl, C. (2021). [...]
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