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Kshitij Sharma

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Related publications (32)

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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

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

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

Kshitij Sharma, Jennifer Kaitlyn Olsen

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

Stimuli-based Gaze Analytics to Enhance Motivation and Learning in MOOCs

Pierre Dillenbourg, Kshitij Sharma

The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables however, do not always capture lear ...

IEEE2019

Displaying Teacher's Gaze in a MOOC: Effects on Students' Video Navigation Patterns

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma

We present an eye-tracking study where we augment a Massive Open Online Course (MOOC) video with the gaze information of the teacher. We tracked the gaze of a teacher while he was recording the content for a MOOC lecture. Our working hypothesis is that dis ...

2015

Using Mobile Eye-Trackers to Unpack the Perceptual Benefits of a Tangible User Interface for Collaborative Learning

Pierre Dillenbourg, Kshitij Sharma, Guillaume Zufferey, Sébastien Cuendet, Bertrand Roland Schneider

In this study, we investigated the way users memorize, analyze, collaborate, and learn new concepts on a Tangible User Interface (TUI). Twenty-seven pairs of apprentices in logistics (N = 54) interacted with an interactive simulation of a warehouse. Their ...

Assoc Computing Machinery2016

How to quantify student's regularity?

Pierre Dillenbourg, Kshitij Sharma, Lukasz Kidzinski, Mina Shirvani Boroujeni, Lorenzo Lucignano

Studies carried out in classroom-based learning context, have consistently shown a positive relation between students' conscientiousness and their academic success. We hypothesize that time management and regularity are main constructing blocks of students ...

Springer2016

Contextualizing the co-creation of artefacts within the nested social structure of a collaborative MOOC

Pierre Dillenbourg, Kshitij Sharma, Stian Haklev

MOOCs have traditionally been seen as providing an individual learning experience, however there is an increasing trend towards enabling social learning in MOOCs. To make online learning at scale more social and collaborative, some MOOCs have introduced co ...

2017

Bridging Multilevel Time Scales in HRI

Pierre Dillenbourg, Kshitij Sharma, Wafa Monia Benkaouar Johal, Thibault Lucien Christian Asselborn

In this article, we present a multi-level time scales framework for the analysis of human-robot interaction (HRI). Such a framework allows HRI scientists to model the inter-relation between measures and factors of an experiment. Our final goal with the int ...

2019

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Kshitij Sharma, Valérie Chavez

The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in Statistics, called the Extreme Value Theory (EVT). EVT claims that th ...

2017

Eye-tracking and artificial intelligence to enhance motivation and learning

Pierre Dillenbourg, Kshitij Sharma

SPRINGER HEIDELBERG2020

Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups

Pierre Dillenbourg, Kshitij Sharma, Guillaume Zufferey, Sébastien Cuendet, Bertrand Roland Schneider

This paper describes a promising methodology for studying co-located groups: mobile eye-trackers. We provide a comprehensive description of our data collection and analysis processes so that other researchers can take advantage of this cutting-edge technol ...

SPRINGER2018

Visual Augmentation of Deictic Gestures in MOOC Videos

Pierre Dillenbourg, Kshitij Sharma

We present an eye-tracking study to compare different modalities for visual augmentations of the teacher’s explicit deictic gestures on a video lecture. We compared three visualizations: 1) hand gestures with a pointer, 2) gaze overlay, and 3) no-augmentat ...

2016

Studying Teacher Cognitive Load in Multi-tabletop Classrooms Using Mobile Eye-tracking

Pierre Dillenbourg, Kshitij Sharma, Luis Pablo Prieto Santos, Yun Wen

Increasing affordability is making multi-tabletop spaces (e.g., in school classrooms) a real possibility, and first design guidelines for such environments are starting to appear. However, there are still very few studies into the usability of such multi-t ...

ACM2014

The burden of facilitating collaboration: Towards estimation of teacher orchestration load using eye-tracking measures

Pierre Dillenbourg, Kshitij Sharma, Luis Pablo Prieto Santos, Yun Wen

Teacher facilitation of CSCL activities is widely recognized as one of the main factors affecting student learning outcomes in formal face-to-face settings. However, the orchestration load that such facilitation represents for the teacher, within the const ...

International Society of the Learning Sciences2015

Gaze Analysis methods for Learning Analytics

Kshitij Sharma

Eye-tracking had been shown to be predictive of expertise, task-based success, task-difficulty, and the strategies involved in problem solving, both in the individual and collaborative settings. In learning analytics, eye-tracking could be used as a powerf ...

EPFL2015

Detecting Collaborative Dynamics Using Mobile Eye-Trackers

Pierre Dillenbourg, Kshitij Sharma, Sébastien Cuendet, Guillaume Zufferey, Bertrand Roland Schneider

: Prior work has successfully described how low and high-performing dyads of students differ in terms of their visual synchronization (e.g., Barron, 2000; Jermann, Mullins, Nuessli & Dillenbourg, 2011). But there is far less work analyzing the diversity of ...

2016

“With-me-ness”: A gaze-measure for students’ attention in MOOCs

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma

We propose a gaze-based indicator of students’ attention in a MOOC video lecture. We report the results from an eye-tracking study during a MOOC lecture. We define the gaze- based indicator of students’ attention as “with-me-ness”. This answers a question ...

ISLS2014

Learner-Computer Interaction

Pierre Dillenbourg, Kshitij Sharma

Learner-Computer Interaction (LCI) research addresses the design, development and use of interactive technologies to support and amplify human learning. LCI is based on the rationale that learning while interacting with technology is a complex, multi-layer ...

ASSOC COMPUTING MACHINERY2018

Eye-tracking perspectives of students’ learning trough MOOCs

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Himanshu Verma

Activating student knowledge (ASK) before receiving learning materials improves their learning outcome (Tormey and LeDuc (2014)). We implement ASK through priming by using two versions of the same pretest in a dual eye-tracking study in a MOOC context. We ...

2014