Kshitij Sharma

Cette personne n’est plus à l’EPFL

Publications associées (35)

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NONSTATIONARY MODELLING OF TAIL DEPENDENCE OF TWO SUBJECTS' CONCENTRATION

Pierre Dillenbourg, Kshitij Sharma, Valérie Chavez

2018

Orchestration Load Indicators and Patterns: n-the-Wild Studies Using Mobile Eye-Tracking

Pierre Dillenbourg, Kshitij Sharma, Lukasz Kidzinski, Luis Pablo Prieto Santos

2018

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

Semantically Meaningful Cohorts Enable Specialized Knowledge Sharing in a Collaborative MOOC

Pierre Dillenbourg, Kshitij Sharma, Stian Haklev

This study presents an analysis of a MOOC on inquiry and technology for in-service teachers, which was designed to scaffold multi- ple disciplinary knowledge communities through common weekly themes, and course-long collaboration scripts happening at diffe ...

2018

Detecting Trends in Job Advertisements

Pierre Dillenbourg, Kshitij Sharma, Khalil Mrini

We present an automatic method for trend detection in job ads. From a job-posting website, we collect job ads from 16 countries and in 8 languages and 6 job domains. We pre-process them by removing stop words, lemmatising and performing cross-domain filter ...

2017

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

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

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

A gaze-based learning analytics model: in-video visual feedback to improve learner's attention in MOOCs

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Hamed Seiied Alavi

In the context of MOOCs, “With-me-ness” refers to the extent to which the learner succeeds in following the teacher, specifically in terms of looking at the area in the video that the teacher is explaining. In our previous works, we employed eye-tracking m ...

ACM2016

Towards Predicting Success in MOOCs: Programming Assignments

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Lukasz Kidzinski

Students of programming languages in massive on-line open courses (MOOCs) solve programming assignments in order to internalize the concepts. Programming assignments also constitute the assessment procedure for such courses. Depending on their motivation a ...

Books on Demand GmbH, Norderstedt2016

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