Publications by Jennifer Kaitlyn Olsen

Measuring causality between collaborative and individual gaze metrics for collaborative problem-solving with intelligent tutoring systems

When students are working collaboratively and communicating verbally in a technology-enhanced environment, the system cannot track what collaboration is happening outside of the technology, making it difficult to fully assess the collaboration of the stude ...

2021

Transferring interactive activities in large lectures from face-to-face to online settings

Pierre Dillenbourg, Louis Pierre Faucon, Jennifer Kaitlyn Olsen

Purpose Within higher education, there was an abrupt shift from face-to-face to online lecturing with the introduction of social distancing measures in light of a global pandemic. The purpose of this study is to enrich the connection between students and i ...

EMERALD GROUP PUBLISHING LTD2020

Temporal analysis of multimodal data to predict collaborative learning outcomes

Kshitij Sharma, Jennifer Kaitlyn Olsen

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated ...

WILEY2020

Real-Time Prediction of Students' Activity Progress and Completion Rates

Pierre Dillenbourg, Louis Pierre Faucon, Stian Haklev, Jennifer Kaitlyn Olsen

In classrooms, some transitions between activities impose (quasi-)synchronicity, meaning there is a need for learners to move between activities at the same time. To make real-time decisions about when to move to the next activity, teachers need to be able ...

SOC LEARNING ANALYTICS RESEARCH-SOLAR2020

A Bayesian Model of Individual Differences and Flexibility in Inductive Reasoning for Categorization of Examples

Pierre Dillenbourg, Louis Pierre Faucon, Jennifer Kaitlyn Olsen

Inductive reasoning is an important educational practice but can be difficult for teachers to support in the classroom due to the high level of preparation and classroom time needed to choose the teaching materials that challenge students' current views. I ...

ASSOC COMPUTING MACHINERY2020

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Pierre Dillenbourg, Ayberk Özgür, Arzu Güneysu Özgür, Wafa Monia Benkaouar Johal, Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Jennifer Kaitlyn Olsen

Background: An increasing lifespan and the resulting change in our expectations of later life stages are dependent on a good health state. This emphasizes the importance of the development of strategies to further strengthen healthy aging. One important as ...

2020

Predicting learners' effortful behaviour in adaptive assessment using multimodal data

Kshitij Sharma, Jennifer Kaitlyn Olsen

Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they are engaged in that activity. Howeve ...

ASSOC COMPUTING MACHINERY2020

Using immersive virtual reality to support designing skills in vocational education

Pierre Dillenbourg, Kevin Gonyop Kim, Jennifer Kaitlyn Olsen, Catharine Regina Monika Maria Oertel Genannt Bierbach, Martin Dobricki

Immersive virtual reality (IVR) offers possibilities of creating a learner‐centric environment that can provide more presence and engagement for students leading to an enhanced learning experience compared to conventional classroom practices. However, the ...

2020

Designing for the co-Orchestration of Social Transitions between Individual, Small-Group and Whole-Class Learning in the Classroom

Jennifer Kaitlyn Olsen

Educational technologies are often developed such that students work on specific social levels (e.g., individual, small group, whole class) at specific times. However, in the reality of the classroom, learning activities are not so cleanly divided, with tr ...

2020

It is not either or: An initial investigation into combining collaborative and individual learning using an ITS

Jennifer Kaitlyn Olsen

Research on Computer-Supported Collaborative Learning (CSCL) has provided significant insights into why collaborative learning is effective and how we can effectively provide support for it. Building on this knowledge, we can investigate when collaboration ...

2019

What Teachers Need for Orchestrating Robotic Classrooms

Pierre Dillenbourg, Jennifer Kaitlyn Olsen, Sina Shahmoradi, Barbara Bruno, Aditi Kothiyal

Educational Robots are gaining popularity in classrooms but can increase the load on teachers compared to the use of more traditional technologies. Providing support to teachers can make teachers confident in including robots in their teaching routines. In ...

Springer, Cham2019

Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Jennifer Kaitlyn Olsen, Sina Shahmoradi, Jauwairia Nasir, Utku Norman

In this paper, we propose that the data generated by educational robots can be better used by applying learning analytics methods and techniques which can lead to a deeper understanding of the learners’ apprehension and behavior as well as refined guidelin ...

IEEE2019

On the Use of Gaze as a Measure for Performance in a Visual Exploration Task

Pierre Dillenbourg, Jennifer Kaitlyn Olsen, Catharine Regina Monika Maria Oertel Genannt Bierbach

Visual exploration skill acquisition is important for many vocational professions, yet many apprentices struggle to acquire these skills, impacting both their grades and practical work. Traditionally, the learning of visual skills is facilitated through ex ...

Springer2019

Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Stian Haklev, Jennifer Kaitlyn Olsen, Sina Shahmoradi, Jauwairia Nasir, Utku Norman

Bringing robots into classrooms presents a new set of challenges for classroom management and teacher support compared to traditional technology-enhanced learning and has been left almost unexplored by the research community. In this paper, we present the ...

Springer, Cham2019

Designing Configurable Arm Rehabilitation Games: How Do Different Game Elements Affect User Motion Trajectories?

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Ayberk Özgür, Arzu Güneysu Özgür, Wafa Monia Benkaouar Johal, Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Jennifer Kaitlyn Olsen

For successful rehabilitation of a patient after a stroke or traumatic brain injury, it is crucial that rehabilitation activities are motivating, provide feedback and have a high rate of repetitions. Advancements in recent technologies provide solutions to ...

IEEE2019

Applying IDC theory to education in the Alps region: A response to Chan et al.’s contribution

Pierre Dillenbourg, Kevin Gonyop Kim, Shuqing Teresa Yeo, Jennifer Kaitlyn Olsen, Jauwairia Nasir

In this paper, we present a response to the Interest-Driven Creator (IDC) Theory from a European perspective. Specifically, we raise six questions intended to start a dialogue with respect to IDC Theory’s placement in existing learning theories, its adopti ...

2019

An Alternate Statistical Lens to Look at Collaboration Data: Extreme Value Theory

Kshitij Sharma, Jennifer Kaitlyn Olsen

To provide beneficial feedback to students during their collaboration, it is important to identify behaviors that are indicative of good collaboration. However, in a collaborative learning session, students engage in a range of behaviors and it can be diff ...

2019

Validation of the ICRF antenna coupling code RAPLICASOL against TOPICA and experiments

Patrick Blanchard, Roland Behn, Basil Duval, Timothy Goodman, Pierre Jacquot, Bruno Marchand, Yves Martin, Pascal Morel, Jean-Marc Moret, Richard Pitts, Olivier Sauter, Holger Reimerdes, Stefano Coda, Alberto Bottino, Marco Wischmeier, Jan Horacek, Andrea Scarabosio, Hartmut Zohm, Alexander Karpushov, Laurie Porte, Yanis Andrebe, Yann Camenen, Thomas Binderup Jensen, Duccio Testa, Telmo David Ribeiro Da Costa, Benoît Labit, Emiliano Fable, Patrycja Nowak-Sliwinska, Javier García Hernández, Ben McMillan, Marc Gruber, Christian Gabriel Theiler, Federico Alberto Alfredo Felici, Jose Felix Vega Stavro, Lenke Horváth, Dávid Wágner, Attila Bencze, Thomas Riedl, Lorenzo Anton-Louis Talà, Diego Carnevale, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Usage of Hints on Coding-Based Summative Assessments

Jennifer Kaitlyn Olsen

A recent in-class exam in a software engineering course included a section in which students had to write code and/or tests under conditions they might face on real software engineering projects, including complex, multi-part coding questions in which late ...

ACM2019

The Dark Energy Survey: Data Release 1

Vanda Carla Costa Grisel, Juan Andrei Villarroel Fernandez, Eduardo Sanchez, Josiane Angèle Charlotte Smith-Clerc, Craig Matthew Smith, Aaron James Rossini, Yi Zhang, Augusto Martins Lima, Jonathan Andrew Blazek, Xi Chen, Vikram Vinayak Karve, Jennifer Kaitlyn Olsen, Xin Chen

We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single-epoch images, co-added images, co-added source catalogs, and associated products and services assembled over the first 3 yr of DES science operations ...

IOP PUBLISHING LTD2018