Navigasjon
Kshitij Sharma
Vitenskapelig, faglig og kunstnerisk arbeid
Tidsskriftspublikasjoner
Papamitsiou, Zacharoula;
Pappas, Ilias;
Sharma, Kshitij;
Giannakos, Michail.
(2020)
Utilizing multimodal data through fsQCA to explain engagement in adaptive learning.
IEEE Transactions on Learning Technologies.
vol. 13 (4).
Alvarez, Ronald;
Maldonado, Jorge;
Sharma, Kshitij;
Sapunar, Diego;
Pérez-Sanagustín, Mar.
(2020)
Characterizing Learners' Engagement in MOOCs: An Observational Case Study Using the NoteMyProgress Tool for Supporting Self-Regulation.
IEEE Transactions on Learning Technologies.
Giannakos, Michail;
Papavlasopoulou, Sofia;
Sharma, Kshitij.
(2020)
Monitoring Children’s Learning Through Wearable Eye-Tracking: The Case of a Making-Based Coding Activity.
IEEE pervasive computing.
vol. 19 (1).
Giannakos, Michail;
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Pappas, Ilias;
Kostakos, Vassilis.
(2020)
Fitbit for learning: Towards capturing the learning experience using wearable sensing.
International Journal of Human-Computer Studies.
vol. 136.
Lee-Cultura, Serena;
Sharma, Kshitij;
Giannakos, Michail.
(2020)
Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games.
CEUR Workshop Proceedings.
vol. 2610.
Lee-Cultura, Serena;
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2020)
Motion-Based Educational Games: Using Multi-Modal Data to Predict Player’s Performance.
IEEE Conference on Computatonal Intelligence and Games, CIG.
Mangaroska, Katerina;
Sharma, Kshitij;
Gasevic, Dragan;
Giannakos, Michail.
(2020)
Multimodal learning analytics to inform learning design: Lessons learned from computing education.
Journal of Learning Analytics.
Mikalef, Patrick;
Sharma, Kshitij;
Pappas, Ilias;
Giannakos, Michail.
(2020)
Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study.
Information Systems Frontiers.
Olsen, Jennifer K.;
Sharma, Kshitij;
Rummel, Nikol;
Aleven, Vincent.
(2020)
Temporal analysis of multimodal data to predict collaborative learning outcomes.
British Journal of Educational Technology (BJET).
Pappas, Ilias;
Sharma, Kshitij;
Mikalef, Patrick;
Giannakos, Michail.
(2020)
How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data.
Lecture Notes in Computer Science (LNCS).
vol. 12067.
Sharma, Kshitij;
Giannakos, Michail.
(2020)
Multimodal data capabilities for learning: What can multimodal data tell us about learning?.
British Journal of Educational Technology (BJET).
Sharma, Kshitij;
Giannakos, Michail;
Dillenbourg, Pierre.
(2020)
Eye-tracking and artificial intelligence to enhance motivation and learning.
Smart Learning Environments.
Sharma, Kshitij;
Leftheriotis, Ioannis;
Giannakos, Michail.
(2020)
Utilizing Interactive Surfaces to Enhance Learning, Collaboration and Engagement: Insights from Learners’ Gaze and Speech.
Sensors.
Sharma, Kshitij;
Niforatos, Evangelos;
Giannakos, Michail;
Kostakos, Vassilis.
(2020)
Assessing cognitive performance using physiological and facial features: Generalizing across contexts.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
Sharma, Kshitij;
Olsen, Jennifer K;
Aleven, Vincent;
Rummel, Nikol.
(2020)
Measuring causality between collaborative and individual gaze metrics for collaborative problem‐solving with intelligent tutoring systems.
Journal of Computer Assisted Learning.
Sharma, Kshitij;
Torrado Vidal, Juan Carlos;
Gomez, Javier;
Jaccheri, Letizia.
(2020)
Improving Girls’ Perception of Computer Science as a Viable Career Option through Game Playing and Design: Lessons from a Systematic Literature Review.
Entertainment Computing.
vol. 36.
Sharma, Kshitij;
Papamitsiou, Zacharoula;
Giannakos, Michail.
(2019)
Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach.
British Journal of Educational Technology (BJET).
vol. 50 (6).
Sharma, Kshitij;
Papamitsiou, Zacharoula;
Giannakos, Michail.
(2019)
Modelling Learners’ Behaviour: A Novel Approach Using GARCH with Multimodal Data.
Lecture Notes in Computer Science (LNCS).
vol. 11722.
Giannakos, Michail;
Sharma, Kshitij;
Pappas, Ilias;
Kostakos, Vassilis;
Velloso, Eduardo.
(2019)
Multimodal data as a means to understand the learning experience.
International Journal of Information Management.
vol. 48.
Gomez Escribano, Javier;
Jaccheri, Maria Letizia;
Maragoudakis, Manolis;
Sharma, Kshitij.
(2019)
Digital storytelling for good with Tappetina game.
Entertainment Computing.
vol. 30.