Jennifer Olsen

I am a learning scientist whose research brings together the fields of Human-Computer Interaction, Cognitive Science, and Education. My focus is on how we can develop technologies to support students and teachers in the classroom in actively engaging with the learning material and flexibly adapting to what is currently happening. To do this, I combine human-computer interaction methodolies with learning theories to develop effective technology support. As part of this process, I not only develop technology to support learning, but I use that technology to further study learning processes to investigate learning science theoeries. In my research I combine both qualitative and quanitative methodologies to investigate both applied and basic research questions.

I am currently a Postdoctoral Researcher in the CHILI Lab at EPFL. In CHILI, my current projects include investigating how to support classroom orchestration and supporting the use of learning analytics across stakeholders in higher education. I am a partner on a SNSF grant for the study of learning analytics in higher education working with both the Center for Digital Education and The Teaching Support Center.

I have accepted a postion at University of San Diego and am excited to be starting in the Department of Computer Science in the fall.


If you are interested in learning more about any of my projects or in collaborating, please contact me.

Orchestration of Interactive Activities in Large Lectures

Integrating Collaborative and Individual Learning

Assessing Collaborative Learning Through Gaze Data

Small Projects

Orchestration of Interactive Activities in Large Lectures

In large lectures, it can be difficult to engage students in interactive activities as the instructor's awareness of the classroom is limited. In this project, we aim to develop and assess orchestration tools that support instructors in engaging their students in more interactive activities during lectures.

Integrating Collaborative and Individual Learning

When students engage in collaborative and individual learning, they may invoke different learning processes that may support them in learnign diffferent types of skills. In this project, we aim to investigate when it is productive for students to work individually and when it is productive for them to work collaboratively.

Assessing Collaborative Learning Through Gaze Data

Working with a colleague, we have assessed the collaborative learning process through the use of gaze data. For this work, we take two approaches. 1) We adopt novel methodologies from other fields that can help to provide us with new insights to the collaborative process. 2) We engage in multimodal learning analytics with gaze as one of the modalities to better understand in which ways gaze data provides novel information.

Small Projects

In coordination with colleagues, I have had the oppotunity to work on a set of smaller projects that involve a range of HCI methodologies and data analysis of educational-based data. I have collaborated within the field of HCI on projects around privacy and the value of digital archives. As a postodctoral researcher, I collaborated with many members of the CHILI Lab around topics including educational robotics, vocational education, and educational data mining.


Computational Problem Solving

This course provides an introduction to computation problem solving. The students learn basic programming skills in Python.

Introduction to User-Centered Design and Prototyping

In this course, students engage in a user-centered approach including ideation, evaluation of systems based on design principles, gathering and evaluation of user needs, and rapid prototyping and testing of designs.

Syllabus (under construction)

Contact Me

Currently my living room

+41 21 693 29 72