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Kshitij Sharma

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Related publications (36)

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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

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

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

Detecting Collaborative Dynamics Using Mobile Eye-Trackers

Pierre Dillenbourg, Kshitij Sharma, Guillaume Zufferey, Sébastien Cuendet, 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

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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

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We present an eye-tracking study in the context of Massive Open Online Course (MOOC) videos. We propose to use a pre-test as a way of priming students about the video content before they watch the video. In this study, we used two versions of the same pre- ...

2016

Teaching Analytics: Towards Automatic Extraction of Orchestration Graphs Using Wearable Sensors

Pierre Dillenbourg, Maria Jesus Rodriguez Triana, Kshitij Sharma, Luis Pablo Prieto Santos

"Teaching analytics" is the application of learning analytics techniques to understand teaching and learning processes, and eventually enable supportive interventions. However, in the case of (often, half-improvised) teaching in face-to-face classrooms, su ...

Assoc Computing Machinery2016

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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