Title: Research Based on Articles About Data Analysis in an Educational Context
Course: Assessment Using Digital Technology > Section: Automated Assessment and Data Analytics

In this discussion, first read the selected scholarly articles (the literature provided in the material Learning Analytics for Assessment from the previous activity) that examine the role and application of data analysis (learning analytics) in education, with a particular focus on assessment. The articles address different approaches, methods, and goals of learning analytics and educational analytics – from monitoring student engagement and performance to predictive analysis and personalized learning.

Topics covered in the articles:

- types of data collected in e-learning systems
- techniques for visualizing and interpreting educational data
- the potentials and limitations of analytics in the context of decision-making
- ethical aspects of using student data (issues of privacy, consent, and transparency)

Task:

- create notes highlighting key concepts and your personal insights
- identify a concrete example of how you could apply data analysis in your own practice
- prepare one question for further discussion or group exchange