| Title | Ethical Considerations & Data Privacy (Collecting and Analyzing Sensitive Student Data for Personalization) |
|---|---|
| Author(s) | Dr G Vignesh |
| File | Dr-GV-_-March.pdf |
| Abstract | The increasing use of data-driven technologies in education has enabled personalized learning experiences through the collection and analysis of sensitive student data, including academic performance, behavioral patterns, and personal information. While personalization can improve learning outcomes and engagement, it also raises significant ethical, policy, and data privacy concerns. Key ethical considerations include informed consent, data ownership, transparency, fairness, and the risk of bias or misuse of student data. Challenges such as data security breaches, lack of clear regulatory frameworks, unequal access to technology, and inadequate awareness among stakeholders further complicate responsible data practices. This abstract highlights the need for strong data governance policies, ethical guidelines, and robust privacy protections to ensure that student data is used responsibly, securely, and in ways that respect students’ rights while supporting effective and inclusive personalized education. |
