PhD Learning Analytics-based dashboards for supporting students blended learning

PhD Learning Analytics-based dashboards for supporting students blended learning

Published Deadline Location
1 May 26 May Eindhoven
Fully funded (4 years) Ph.D. on: Learning Analytics-based dashboards for supporting students’ blended learning.
Proposed start date is 1 September 2024, but a later start date may be considered.

Job description

In times of ubiquitous blended education, students need to be engaged learners who can self-regulate their learning to an unprecedented extent: setting learning goals, planning adequate learning activities, self-management of motivation, time planning, self-monitoring, and adjusting learning activities are just some of these challenges. We feel students could use some help.

Do you like designing Learning Analytics dashboards and want to figure out more about how they can boost student learning? Are you keen on creating dashboards that not only look good but are also rooted in educational theories to really get a grip on how students learn? If that sounds like your kind of challenge, why not join us? We are looking for someone to take on a PhD position focusing on learning analytics-based dashboards at the Human-Technology Interaction Group (HTI) within the School of Innovation Sciences.

The project

Blended learning has become a significant component of the modern higher education landscape. However, not all students thrive in this learning environment that requires more self-regulation of learning. Procrastination and lack of motivation can create barriers for students who need more external guidance. In addition, Dutch universities face a diversity of students with various backgrounds and specific educational needs. TU/e embraces this diversity, and its educational plan strives for more personalized learning paths.

In this PhD project, you will design student-facing dashboards based on students' clickstream data as a (partial) solution to this problem. Learning Analytics-based student dashboards offer the potential to motivate students, encourage self-regulated learning, and provide personalized feedback, but they are currently not reaching their full potential. In our research team, you proceed with a theory-guided design of dashboards in combination with a student-centered co-design and a thorough statistical evaluation in field experiments. We will consider, among others, educational theories that focus on planning activities, such as goal-setting theory, feedback theories that offer 'actionable' guidance, and motivational theories, such as self-determination theory. Personalization of learning is key in this project. Obviously, the dashboards also have to look good and be convenient and effortless to use.

The research group

The Human-Technology Interaction (HTI) group is part of the Department of Industrial Engineering & Innovation Sciences (IE&IS). The HTI group concentrates expertise in social sciences - particularly psychology - and engineering, studying technology in the service of human wellbeing within the broader context of a socially and ecologically sustainable society.


Eindhoven University of Technology (TU/e)


Recently completed (or be close to the completion of) a Master's degree in Human-Computer Interaction, Cognitive Psychology, Educational sciences, or a related field that shows an interest in both data analysis as well as psychology.
  • Demonstrable experience in conducting empirical and/or experimental research, including knowledge of and demonstrable experience with applying (state-of-the-art) statistical techniques.
  • Interest in and familiarity with educational theories.
  • Interest in the design of educational technologies.
  • Teamwork capabilities.
  • Experience with data wrangling (e.g., in R, Python) and data visualization would be an asset.
  • Excellent mastering of the English language and good communication skills. Note that there is no Dutch language requirement.

We expect you to:
  • Further develop the project proposal based on academic literature, and in collaboration with educational stakeholders.
  • Conduct theory-guided and user-centered (co-)design of dashboards.
  • Design empirical (field) studies and lab/online experiments.
  • Statistically analyze data obtained from field studies and experiments and report on results.
  • Communicate practical implications of your research to specific stakeholders/the general public.
  • Present the findings of your research at (inter)national scientific conferences.
  • Publish papers in internationally renowned academic journals.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Additional information

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

More information about the HTI group can be found at

Curious to hear more about what it's like as a PhD candidate at TU/e? Please view the video.


Do you recognize yourself in this profile and would you like to know more about this position? Please contact dr. Uwe Matzat or dr. Rianne Conijn

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, email

Are you inspired and would like to know more about working at TU/e? Please visit our career page.


We invite you to submit a complete application by using the apply button.
The application should include a:
  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including the contact information of two references.
  • Master thesis (or any other report that shows your academic writing).

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.


  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V39.7455


Eindhoven University of Technology (TU/e)

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De Rondom 70, 5612 AP, Eindhoven

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Application procedure

Application procedure

Make sure to apply no later than 26 May 2024 23:59 (Europe/Amsterdam).