Privacy and Data Protection for a Trustworthy Learning Analytics in Higher Education

This PhD research  investigates the privacy and data protection issues surrounding learning analytics in higher education. In three studies, The project will examine the state-of-the-art of both issues in terms of what is already known as well as investigate the expectations of different human stakeholders in the overall learning analytics ecosystem. Grounded in the results from the state of-the-art and the stakeholder expectations, a toolbox that aims at informing the learning analytics stakeholders on the identified privacy and data protection issues will be developed. The toolbox will communicate a bigger picture of what, how, and why learning data are collected and analysed throughout the learning analytics processes. As data reporting (i.e., the stage of closing loops oflearning analytics processes) is an essential phase in the learning analytics ecosystem, a privacy risk aware approach will be proposed to quantify data privacy and protection aspects in learning analytics and make data reporting recommendations based on users' privacy preferences. The impact of this PhD project will increase transparency and thus improvetrust of learning analytics in higher education.

Liu, Q. & Khalil, M. (2023). Understanding privacy and data protection issues in learning analytics using a systematic review. British journal of educational technology (BJET), 54(6),  .1715-1747. DOI: 10.1111/bjet.13388

Project Period:

Project Period:

August 2022

August 2025

Funded By:

Project Leader:

Mohammad Khalil

Project Members:

Qinyi Liu, Ronas Shakya

Project Partners:

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‍Visiting Address:

Christiesgate 12, 2nd floor

Postal Address:

University of Bergen
PO Box 7807
N-5020 Bergen, Norway