Tidsskriftspublikasjoner

• 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.
• 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.
• 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.
• 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).
• 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.
• 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; 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.
• 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.
• Lorås, Madeleine; Trætteberg, Hallvard; Sharma, Kshitij. (2019) Investigating students’ journey through a computer science program using exam data: three new approaches. NIKT: Norsk IKT-konferanse for forskning og utdanning.
• Papavlasopoulou, Sofia; Sharma, Kshitij; Giannakos, Michail. (2019) Coding activities for children: Coupling eye-tracking with qualitative data to investigate gender differences. Computers in Human Behavior.
• Pérez-Sanagustín, Mar; Sharma, Kshitij; Perez-Alvarez, Ronald; Maldonado-Mahauad, Jorge; Broisin, Julien. (2019) Analyzing Learners’ Behavior Beyond the MOOC: An Exploratory Study. Lecture Notes in Computer Science (LNCS). vol. 11722 LNCS.
• Sharma, Kshitij; Olsen, Jennifer K. (2019) An alternate statistical lens to look at collaboration data: Extreme value theory. Computer-Supported Collaborative Learning Conference (CSCL). vol. 1.
• 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.
• Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail. (2019) Coding games and robots to enhance computational thinking: How collaboration and engagement moderate children’s attitudes?. International Journal of Child-Computer Interaction. vol. 21.
• Guneysu Ozgur, Arzu; Wessel, Maximilian Jonas; Johal, Wafa; Sharma, Kshitij; Zgur, Ayberk; Vuadens, Philippe; Mondada, Francesco; Hummel, Friedhelm Christoph; Dillenbourg, Pierre. (2018) Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots. ACM/IEEE International Conference on Human-Robot Interaction (HRI).
• Håklev, Stian; Sharma, Kshitij; Slotta, Jim; Dillenbourg, Pierre. (2018) Semantically Meaningful Cohorts Enable Specialized Knowledge Sharing in a Collaborative MOOC. Lecture Notes in Computer Science (LNCS). vol. 11082 LNCS.
• Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Trætteberg, Hallvard; Dillenbourg, Pierre. (2018) Gaze-Driven Design Insights to Amplify Debugging Skills: A Learner-Centered Analysis Approach. Journal of Learning Analytics. vol. 8 (3).
• Olsen, Jennifer K:; Sharma, Kshitij; Aleven, Vincent; Rummel, Nikol. (2018) Combining gaze, dialogue, and action from a collaborative intelligent tutoring system to inform student learning processes. Proceedings (International Conference of the Learning Sciences). vol. 2 (2018-).