Kshitij Kshitij
About
My background is in the area of Human-Computer Interaction and Collaborative/cooperative learning. In particular, my doctoral work was in the area of using multimodal data (EEG, eye-tracking, facial expressions, audio, dialogues, blood pressure, skin conductance, heart rate) to explain the differences between and predict, experts and novice groups; good and poor students; functional and non-functional groups. The main context for the application of my research has been education. My research interests are primarily in the area of Applied Machine Learning, Artificial Intelligence, and Human-Computer Interaction (HCI) with a heavy emphasis on groups’ behavior and physiological data such as eye-tracking, EEG, facial expressions (theoretical and practical methods in digital interaction). I seek to understand relations between users’ data (EEG, eye-tracking, system log data, users’ actions) and the profile of the user (expertise, motivation, strategy, performance) based on empirical experimentation (controlled experiments) and mixed methods analysis (utilizing a multitude of digital technologies). The knowledge gained from these studies is then used to provide feedback to the group or adapt to the needs of the group in a proactive manner. For this effort, in my studies, I have combined eye-tracking and users’ actions to provide more comprehensive results through data science, statistics, and machine learning practices.
After finishing my doctoral studies in 2015, I started working on developing methods based on Extreme Values Theory (EVT), a methodological space to compute features from abnormalities in data emerging out of collaborative work. EVT is well suited for big data time series. The results show an improvement over contemporary feature extraction methods in terms of their prediction capabilities. During the same period, I have expanded my application area beyond collaborative and educational technologies and have conducted studies in the context of e-commerce, information systems, and Entertainment Computing.
For details please visit my Scholar page
Journal Articles
Sharma, K., Giannakos, M., & Dillenbourg, P. (2020). Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learning Environments, 7, 1-19.
Giannakos, M. N., Sharma, K., Papavlasopoulou, S., Pappas, I. O., & Kostakos, V. (2020). Fitbit for learning: Towards capturing the learning experience using wearable sensing. International Journal of Human-Computer Studies, 136, 102384.
Papavlasopoulou, S., Sharma, K., & Giannakos, M. N. (2020). Coding activities for children: Coupling eye-tracking with qualitative data to investigate gender differences. Computers in Human Behavior, 105, 105939.
Giannakos, M. N., Papavlasopoulou, S., & Sharma, K. (2020). Monitoring Children's Learning Through Wearable Eye-Tracking: The Case of a Making-Based Coding Activity. IEEE Pervasive Computing, 19(1), 10-21.
Sharma, K., Leftheriotis, I., & Giannakos, M. (2020). Utilizing Interactive Surfaces to Enhance Learning, Collaboration and Engagement: Insights from Learners’ Gaze and Speech. Sensors, 20(7), 1964.
Sharma, K., Papamitsiou, Z., & Giannakos, M. (2019). Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach. British Journal of Educational Technology, 50(6), 3004-3031.
Giannakos, M. N., Sharma, K., Pappas, I. O., Kostakos, V., & Velloso, E. (2019). Multimodal data as a means to understand the learning experience. International Journal of Information Management, 48, 108-119.
Sharma, K., Papavlasopoulou, S., & Giannakos, M. (2019). Coding games and robots to enhance computational thinking: How collaboration and engagement moderate children’s attitudes?. International Journal of Child-Computer Interaction, 21, 65-76.
Asselborn, T., Sharma, K., Johal, W., & Dillenbourg, P. (2019). Bridging Multilevel Time Scales in HRI: An Analysis Framework. ACM Transactions on Human-Robot Interaction (THRI), 8(3), 1-24.
Gomez, J., Jaccheri, L., Maragoudakis, M., & Sharma, K. (2019). Digital storytelling for good with Tappetina game. Entertainment Computing, 30, 100297.
Sharma, K., Chavez-Demoulin, V., & Dillenbourg, P. (2018). Nonstationary modelling of tail dependence of two subjects’ concentration. The Annals of Applied Statistics, 12(2), 1293-1311.
Papavlasopoulou, S., Sharma, K., & Giannakos, M. N. (2018). How do you feel about learning to code? Investigating the effect of children’s attitudes towards coding using eye-tracking. International Journal of Child-Computer Interaction.
Prieto, L. P., Sharma, K., Kidzinski, Ł., Rodríguez‐Triana, M. J., & Dillenbourg, P. (2018). Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data. Journal of computer assisted learning, 34(2), 193-203.
Prieto, L. P., Sharma, K., Kidzinski, Ł., & Dillenbourg, P. (2018). Orchestration load indicators and patterns: In-the-wild studies using mobile eye-tracking. IEEE Transactions on Learning Technologies, 11(2), 216-229.
Schneider, B., Sharma, K., Cuendet, S., Zufferey, G., Dillenbourg, P., & Pea, R. (2018). Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups. International Journal of Computer-Supported Collaborative Learning, 13(3), 241-261.
Mangaroska, K., Sharma, K., Giannakos, M., Træteberga, H., & Dillenbourg, P. (2018). Gaze-Driven Design Insights to Amplify Debugging Skills: A Learner-Centred Analysis Approach. Journal of Learning Analytics, 5(3), 98-119.
Sharma, K., Chavez-Demoulin, V., & Dillenbourg, P. (2018). Nonstationary modelling of tail dependence of two subjects’ concentration. The Annals of Applied Statistics, 12(2), 1293-1311.
Sharma, K., Chavez-Demoulin, V., & Dillenbourg, P. (2017). An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data. Journal of Learning Analytics, 4(3), 140- 164.
Schneider, B., Sharma, K., Cuendet, S., Zufferey, G., Dillenbourg, P., & Pea, R. (2016). Using mobile eye-trackers to unpack the perceptual benefits of a tangible user interface for collaborative learning. ACM Transactions on Computer-Human Interaction (TOCHI), 23(6), 39.
Sharma, K., Caballero, D., Verma, H., Jermann, P., & Dillenbourg, P. (2015). Shaping learners’ attention in massive open online courses. Revue internationale des technologies en pédagogie universitaire/International Journal of Technologies in Higher Education, 12(1-2), 52-61.
Conference Papers
Sharma, K., Papamitsiou, Z., Olsen, J. K., & Giannakos, M. (2020, March). Predicting learners' effortful behaviour in adaptive assessment using multimodal data. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 480-489).
Pappas, I. O., Sharma, K., Mikalef, P., & Giannakos, M. N. (2020, April). How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data. In Conference on e-Business, e-Services and e-Society (pp. 429-440). Springer, Cham.
Sharma, K., Papavlasopoulou, S., & Giannakos, M. (2019, June). Joint emotional state of children and perceived collaborative experience in coding activities. In Proceedings of the 18th ACM International Conference on Interaction Design and Children (pp. 133-145).
Sharma, K., Dillenbourg, P., & Giannakos, M. (2019, July). Stimuli-Based Gaze Analytics to Enhance Motivation and Learning in MOOCs. In 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) (Vol. 2161, pp. 199-203). IEEE.
Sharma, K., Papamitsiou, Z., & Giannakos, M. N. (2019, September). Modelling Learners’ Behaviour: A Novel Approach Using GARCH with Multimodal Data. In European Conference on Technology Enhanced Learning (pp. 450-465). Springer, Cham.
Sharma, K., & Olsen, J. (2019). An Alternate Statistical Lens to Look at Collaboration Data: Extreme Value Theory. In Computer-Supported Collaborative Learning.
Sharma, K., Pappas, I., Papavlasopoulou, S., & Giannakos, M. (2019). Towards automatic and pervasive physiological sensing of collaborative learning. In Computer-Supported Collaborative Learning.
Giannakos, M. N., Sharma, K., & Niforatos, E. (2019, September). Exploring EEG signals during the different phases of game-player interaction. In 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) (pp. 1-8). IEEE.
Pérez-Sanagustín, M., Sharma, K., Pérez-Álvarez, R., Maldonado-Mahauad, J., & Broisin, J. (2019, September). Analyzing learners’ behavior beyond the MOOC: An exploratory study. In European Conference on Technology Enhanced Learning (pp. 40-54). Springer, Cham.
Lorås, M., Trætteberg, H., & Sharma, K. (2019). Investigating students’ journey through a computer science program using exam data: three new approaches.
Sharma, K., Olsen, J. K., Aleven, V., & Rummel, N. (2018, September). Exploring Causality Within Collaborative Problem Solving Using Eye-Tracking. In European Conference on Technology Enhanced Learning (pp. 412-426). Springer, Cham.
Sharma, K., Papavlasopoulou, S., Giannakos, M., & Jaccheri, L. (2018, June). Kid Coding Games and Artistic Robots: Attitudes and Gaze Behavior. In Proceedings of the Conference on Creativity and Making in Education (pp. 64-71). ACM.
Sharma, K., Mangaroska, K., Trætteberg, H., Lee-Cultura, S., & Giannakos, M. (2018, September). Evidence for programming strategies in university coding exercises. In European Conference on Technology Enhanced Learning (pp. 326-339). Springer, Cham.
Sharma, K. & Jermann P., (2018, July). Gaze as a Proxy for Cognition and Communication. In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT) (pp. 152-154). IEEE.
Sharma, K., Papavlasopoulou, S., Giannakos, M., & Jaccheri, L. (2018, June). Kid Coding Games and Artistic Robots: Attitudes and Gaze Behavior. In Proceedings of the Conference on Creativity and Making in Education (pp. 64-71).
Sharma, K., Mangaroska, K., Giannakos, M., & Dillenbourg, P. (2018). Interlacing Gaze and Actions to Explain the Debugging Process. Rethinking Learning in the Digital Age. Making the Learning Sciences Count Volume.
Håklev, S., Sharma, K., Slotta, J., & Dillenbourg, P. (2018, September). Semantically Meaningful Cohorts Enable Specialized Knowledge Sharing in a Collaborative MOOC. In European Conference on Technology Enhanced Learning (pp. 370-384). Springer, Cham.
Mangaroska, K., Sharma, K., Giannakos, M., Trætteberg, H., & Dillenbourg, P. (2018, March). Gaze insights into debugging behavior using learner-centred analysis. In Proceedings of the 8th international conference on learning analytics and knowledge (pp. 350-359).
Venant, R., Sharma, K., Vidal, P., Dillenbourg, P., & Broisin, J. (2018). Étude du comportement des apprenants dans les travaux pratiques et de sa corrélation avec la performance académique. Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation, 25(1), 169-194.
Olsen, J., Sharma, K., Aleven, V., & Rummel, N. (2018). Combining Gaze, Dialogue, and Action from a Collaborative Intelligent Tutoring System to Inform Student Learning Processes. International Society of the Learning Sciences. Inc.[ISLS].
Ozgur, A. G., Wessel, M. J., Johal, W., Sharma, K., Özgür, A., Vuadens, P., ... & Dillenbourg, P. (2018). Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots. In ACM/IEEE International Conference on Human-Robot Interaction (HRI) (p. 187).
Lee-Cultura, S., Mangaroska, K., & Sharma, K. (2018, September). Adult Perception of Gender-Based Toys and Their Influence on Girls’ Careers in STEM. In International Conference on Entertainment Computing (pp. 407-410). Springer, Cham.
Pappas, I., Sharma, K., Mikalef, P., & Giannakos, M. (2018). Visual aesthetics of E-commerce websites: An eye-tracking approach.
Pappas, I. O., Sharma, K., Mikalef, P., & Giannakos, M. N. (2018). A Comparison of Gaze Behavior of Experts and Novices to Explain Website Visual Appeal. In PACIS (p. 105).
Mikalef, P., Sharma, K., & Pappas, I. (2018). Social commerce and consumer search behavior: An eye-tracking study.
Sharma, K., Alavi, H. S., Jermann, P., & Dillenbourg, P. (2017, September). Looking THROUGH versus looking AT: A strong concept in technology enhanced learning. In European Conference on Technology Enhanced Learning (pp. 238-253). Springer, Cham.
Sharma, K., Leftheriotis, I., Noor, J., & Giannakos, M. (2017). Dual Gaze as a Proxy for Collaboration in Informal Learning. Philadelphia, PA: International Society of the Learning Sciences..
Sharma, K., Jermann, P., Dillenbourg, P., Prieto, L. P., D’Angelo, S., Gergle, D., ... & Rummel, N. (2017). Cscl and eye-tracking: Experiences, opportunities and challenges. Philadelphia, PA: International Society of the Learning Sciences..
Håklev, S., Sharma, K., Slotta, J., & Dillenbourg, P. (2017, September). Contextualizing the co-creation of artefacts within the nested social structure of a collaborative MOOC. In European Conference on Technology Enhanced Learning (pp. 67-81). Springer, Cham
Papavlasopoulou, S., Sharma, K., Giannakos, M., & Jaccheri, L. (2017, June). Using Eye-Tracking to Unveil Differences Between Kids and Teens in Coding Activities. In Proceedings of the 2017 Conference on Interaction Design and Children(pp. 171-181). ACM.
Prieto, L. P., Sharma, K., Kidzinski, Ł., & Dillenbourg, P. (2017). Orchestration load indicators and patterns: In-the-wild studies using mobile eye-tracking. IEEE Transactions on Learning Technologies, 11(2), 216-229.
Venant, R., Sharma, K., Vidal, P., Dillenbourg, P., & Broisin, J. (2017, September). Using sequential pattern mining to explore learners’ behaviors and evaluate their correlation with performance in inquiry-based learning. In European Conference on Technology Enhanced Learning (pp. 286-299). Springer, Cham.
Venant, R., Sharma, K., Dillenbourg, P., Vidal, P., & Broisin, J. (2017, June). A Study of Learners’ Behaviors in Hands-On Learning Situations and Their Correlation with Academic Performance. In International Conference on Artificial Intelligence in Education (pp. 570-573). Springer, Cham.
Mikalef, P., Sharma, K., Pappas, I. O., & Giannakos, M. N. (2017, November). Online Reviews or Marketer Information? An eye-tracking study on social commerce consumers. In Conference on e-Business, e-Services and e-Society (pp. 388-399). Springer, Cham.
Mikalef, P., Pappas, I. O., Giannakos, M. N., & Sharma, K. (2017, November). Determining Consumer Engagement in Word-of-Mouth: Trust and Network Ties in a Social Commerce Setting. In Conference on e-Business, e-Services and e-Society (pp. 351-362). Springer, Cham.
Sharma, K., D'Angelo, S., Gergle, D., & Dillenbourg, P. (2016). Visual augmentation of deictic gestures in mooc videos. Singapore: International Society of the Learning Sciences.
Sharma, K., Alavi, H. S., Jermann, P., & Dillenbourg, P. (2016). A gaze-based learning analytics model: in-video visual feedback to improve learner's attention in MOOCs. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 417-421). ACM
Sharma K. ,Kidzinski Ł. Jermann, P., & Dillenbourg, P. (2016). Towards predicting success in MOOCs: Programming assignments. Proceedings of the European Stakeholder Summit on experiences and best practices in and around MOOCs (EMOOCS 2016), 135.
Schneider, B., Sharma, K., Cuendet, S., Zufferey, G., Dillenbourg, P., & Pea, R. (2016). Detecting collaborative dynamics using mobile eye-trackers. Singapore: International Society of the Learning Sciences.
Boroujeni, M. S., Sharma, K., Kidziński, Ł., Lucignano, L., & Dillenbourg, P. (2016, September). How to quantify student’s regularity?. In European conference on technology enhanced learning (pp. 277-291). Springer, Cham.
Kidzinsk, L., Sharma, K., Boroujeni, M. S., & Dillenbourg, P. (2016). On Generalizability of MOOC Models. International Educational Data Mining Society.
Prieto, L. P., Sharma, K., Dillenbourg, P., & Jesús, M. (2016). Teaching analytics: towards automatic extraction of orchestration graphs using wearable sensors. In Proceedings of the sixth international conference on learning analytics & knowledge (pp. 148-157). ACM.
Sharma, K., Jermann, P., & Dillenbourg, P. (2015). Identifying Styles and Paths toward Success in MOOCs. International Educational Data Mining Society.
Sharma, K., Jermann, P., & Dillenbourg, P. (2015). Displaying teacher’s gaze in a MOOC: Effects on students’ video navigation patterns. In Design for Teaching and Learning in a Networked World (pp. 325-338). Springer, Cham.
Sharma, K., Caballero, D., Verma, H., Jermann, P., & Dillenbourg, P. (2015). Looking AT versus looking THROUGH: A dual eye-tracking study in MOOC context. International Society of the Learning Sciences, Inc.[ISLS]..
Prieto, L. P., Sharma, K., & Dillenbourg, P. (2015). Studying teacher orchestration load in technology-enhanced classrooms. In Design for teaching and learning in a networked world (pp. 268-281). Springer, Cham.
Prieto, L. P., Sharma, K., Wen, Y., & Dillenbourg, P. (2015). The burden of facilitating collaboration: towards estimation of teacher orchestration load using eye-tracking measures. International Society of the Learning Sciences, Inc.[ISLS]..
Schneider, B., Sharma, K., Cuendet, S., Zufferey, G., Dillenbourg, P., & Pea, R. D. (2015). 3D tangibles facilitate joint visual attention in dyads. International Society of the Learning Sciences, Inc.[ISLS]..
Sharma, K., Jermann, P., & Dillenbourg, P. (2014). “With-me-ness”: A gaze-measure for students’ attention in MOOCs. In Proceedings of International Conference of the Learning Sciences 2014 (No. CONF, pp. 1017-1022). ISLS.
Sharma, K., Jermann, P., & Dillenbourg, P. (2014). How students learn using MOOCs: An eye-tracking insight (No. CONF, pp. 147-154).
Prieto, L. P., Wen, Y., Caballero, D., Sharma, K., & Dillenbourg, P. (2014, November). Studying teacher cognitive load in multi-tabletop classrooms using mobile eye-tracking. In Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces (pp. 339-344).
Sharma, K., Jermann, P., Nüssli, M. A., & Dillenbourg, P. (2013). Understanding collaborative program comprehension: Interlacing gaze and dialogues. In Proceedings of Computer Supported Collaborative Learning (CSCL 2013) (Vol. 1, No. EPFL-CONF-184007, pp. 430-437).
Sharma, K., Jermann, P., Nüssli, M. A., & Dillenbourg, P. (2012). Gaze Evidence for different activities in program understanding. In Proceedings of 24th Annual conference of Psychology of Programming Interest Group (No. EPFL-CONF-184006).
Publications
2024
-
Kshitij, Kshitij;
Nguyen, Andy;
Hong, Yvonne.
(2024)
Self-regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies.
British Journal of Educational Technology (BJET)
Academic literature review
-
Das, Ronnie;
Ahmed, Wasim;
Kshitij, Kshitij;
Hardey, Mariann;
Dwivedi, Yogesh K.;
Zhang, Ziqi.
(2024)
Towards the development of an explainable e-commerce fake review index: An attribute analytics approach.
European Journal of Operational Research
Academic article
-
Lee-Cultura, Serena Glyn;
Kshitij, Kshitij;
Giannakos, Michail.
(2024)
Multimodal Teacher Dashboards: Challenges and Opportunities of Enhancing Teacher Insights Through a Case Study.
IEEE Transactions on Learning Technologies
Academic article
-
Kshitij, Kshitij;
Dwivedi, Yogesh K.;
Metri, Bhimaraya.
(2024)
Incorporating causality in energy consumption forecasting using deep neural networks.
Annals of Operations Research
Academic article
2023
-
Mikalef, Patrik;
Sharma, Kshitij;
Chatterjee, Sheshadri;
Chaudhuri, Ranjan;
Parida, Vinit;
Gupta, Shivam.
(2023)
All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning.
Decision Support Systems
Academic article
-
Zhang, Feiran;
Brynildsrud, Hanne;
Papavlasopoulou, Sofia;
Kshitij, Kshitij;
Giannakos, Michail.
(2023)
Experiverse: Exploring an experiment-based gamification application for motivating children to science learning in an informal setting.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
2022
-
Dahl, Yngve;
Sharma, Kshitij.
(2022)
Six Facets of Facilitation: Participatory Design Facilitators’ Perspectives on Their Role and Its Realization.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Pappas, Ilias;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2022)
Wearable Sensing and Quantified-self to explain Learning Experience.
International Conference on Advanced Learning Technologies (ICALT)
Academic article
-
Giannakos, Michail;
Spikol, Daniel;
Di Mitri, Daniele;
Kshitij, Kshitij;
Ochoa, Xavier;
Hammad, Rawad.
(2022)
Introduction to Multimodal Learning Analytics.
Springer Nature
Academic chapter/article/Conference paper
-
Giannakos, Michail;
Spikol, Daniel;
Di Mitri, Daniele;
Kshitij, Kshitij;
Ochoa, Xavier;
Hammad, Rawad.
(2022)
The Multimodal Learning Analytics Handbook.
Springer Nature
Springer Nature
Academic anthology/Conference proceedings
-
Tisza, Gabriella;
Kshitij, Kshitij;
Papavlasopoulou, Sofia;
Markopoulos, Panos;
Giannakos, Michail.
(2022)
Understanding Fun in Learning to Code: A Multi-Modal Data approach.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2022)
Children's facial expressions during collaborative coding: Objective versus subjective performances.
International Journal of Child-Computer Interaction
Academic article
-
Dahl, Yngve;
Kshitij, Kshitij;
Svanæs, Dag.
(2022)
Towards Participatory Design Facilitation as Reflective Practice.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Lee-Cultura, Serena;
Giannakos, Michail.
(2022)
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning.
Frontiers in Artificial Intelligence
Academic article
2021
-
Papavlasopoulou, Sofia;
Sharma, Kshitij;
Melhart, David;
Schellekens, Jasper;
Lee-Cultura, Serena;
Giannakos, Michail.
(2021)
Investigating gaze interaction to support children’s gameplay.
International Journal of Child-Computer Interaction
Academic article
-
Sharma, Kshitij;
Mangaroska, Katerina;
Berkel, Niels van;
Giannakos, Michail;
Kostakos, Vassilis.
(2021)
Information flow and cognition affect each other: Evidence from digital learning.
International Journal of Human-Computer Studies
Academic article
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Giannakos, Michail.
(2021)
Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach.
International Journal of Child-Computer Interaction
Academic article
-
Giannakos, Michail;
Lee-Cultura, Serena;
Sharma, Kshitij.
(2021)
Sensing-Based Analytics in Education: The Rise of Multimodal Data Enabled Learning Systems.
IT Professional Magazine
Academic article
-
Sharma, Kshitij;
Olsen, Jennifer K.;
Verma, Himanshu;
Caballero, Daniela;
Jermann, Patrick.
(2021)
Challenging Joint Visual Attention as a Proxy for Collaborative Performance.
Computer-Supported Collaborative Learning Series (CSCL)
Academic article
-
Sharma, Kshitij;
Giannakos, Michail.
(2021)
Sensing technologies and child–computer interaction: Opportunities, challenges and ethical considerations.
International Journal of Child-Computer Interaction
Academic article
-
Olsen, Jennifer K.;
Ozgur, Arzu Guneysu ;
Sharma, Kshitij;
Johal, Wafa.
(2021)
Leveraging eye tracking to understand children’s attention during game-based, tangible robotics activities.
International Journal of Child-Computer Interaction
Academic article
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2021)
Faces Don’t Lie: Analysis of Children’s Facial expressions during Collaborative Coding.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Lee-Cultura, Serena;
Giannakos, Michail.
(2021)
Information flow and children’s emotions during collaborative coding: A causal analysis
.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Cosentino, Giulia;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2021)
Children’s Play and Problem Solving in Motion-Based Educational Games: Synergies between Human Annotations and Multi-Modal Data
.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Giannakos, Michail.
(2021)
Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play.
CEUR Workshop Proceedings
Academic article
-
Mangaroska, Katerina;
Sharma, Kshitij;
Gašević, Dragan;
Giannakos, Michail.
(2021)
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity.
Journal of Computer Assisted Learning (JCAL)
Academic article
2020
-
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
Academic article
-
Papamitsiou, Zacharoula;
Sharma, Kshitij;
Giannakos, Michail.
(2020)
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
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
Academic article
-
Giannakos, Michail;
Spikol, Daniel;
Molenaar, Inge;
Di Mitri, Daniele;
Sharma, Kshitij;
Ochoa, Xavier.
(2020)
CrossMMLA in practice: Collecting, annotating and analyzing
multimodal data across spaces.
CEUR Workshop Proceedings
Editorial
-
Sharma, Kshitij;
Papamitsiou, Zacharoula;
Olsen, Jennifer K.;
Giannakos, Michail.
(2020)
Predicting learners' effortful behaviour in adaptive assessment using multimodal data.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Mishra, S.;
Papamitsiou, Zacharoula;
Munshi, A;
De, B. K.;
Biswas, Gautam.
(2020)
Towards Obtaining Facial Proxies for Gaze behaviour in TEL.
International Society of the Learning Sciences (ISLS)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Aloizou, Valeria;
Retalis, Symeon;
Giannakos, Michail.
(2020)
Children's Interaction with Motion-Based Touchless Games: Kinecting Effectiveness and Efficiency.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Retalis, Symeon;
Giannakos, Michail.
(2020)
Using sensing technologies to explain children's self-representation in motion-based educational games.
IDC '20: Proceedings of the Interaction Design and Children ConferenceJune 2020
Academic article
-
Papamitsiou, Zacharoula;
Sharma, Kshitij;
Giannakos, Michail.
(2020)
On the Dependence Structure between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?.
UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Academic article
-
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
Academic article
-
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)
Academic article
-
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)
Academic article
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Retalis, Symeon;
Giannakos, Michail.
(2020)
Using Sensing Technologies to Explain Children’s Self-Representation in Motion-Based Educational Games.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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 (JCAL)
Academic article
-
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
Academic article
-
Sharma, Kshitij;
Giannakos, Michail;
Dillenbourg, Pierre.
(2020)
Eye-tracking and artificial intelligence to enhance motivation and learning.
Smart Learning Environments
Academic article
-
Sharma, Kshitij;
Leftheriotis, Ioannis;
Giannakos, Michail.
(2020)
Utilizing interactive surfaces to enhance learning, collaboration and engagement: Insights from learners’ gaze and speech.
Sensors
Academic article
-
Sharma, Kshitij;
Giannakos, Michail.
(2020)
Multimodal data capabilities for learning: What can multimodal data tell us about learning?.
British Journal of Educational Technology (BJET)
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic literature review
2019
-
Trætteberg, Hallvard;
Mavroudi, Anna;
Sharma, Kshitij;
Giannakos, Michail.
(2019)
Utilizing Real-Time Descriptive Learning Analytics to Enhance Learning Programming.
Springer Publishing Company
Academic chapter/article/Conference paper
-
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
Academic article
-
Gomez Escribano, Javier;
Jaccheri, Maria Letizia;
Maragoudakis, Manolis;
Sharma, Kshitij.
(2019)
Digital storytelling for good with Tappetina game.
Entertainment Computing
Academic article
-
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
Academic article
-
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
Academic article
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2019)
Joint Emotional State of Children and Perceived Collaborative Experience in Coding Activities.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Giannakos, Michail;
Sharma, Kshitij;
Niforatos, Evangelos.
(2019)
Exploring EEG signals during the different phases of game-player interaction.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Pappas, Ilias;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2019)
Towards Automatic and Pervasive Physiological Sensing of Collaborative Learning.
International Society of the Learning Sciences (ISLS)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Dillenbourg, Pierre;
Giannakos, Michail.
(2019)
Stimuli-Based Gaze Analytics to Enhance Motivation and Learning in MOOCs.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Olsen, Jennifer K.
(2019)
An alternate statistical lens to look at collaboration data: Extreme value theory.
Computer-Supported Collaborative Learning Series (CSCL)
Academic article
-
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
Academic article
-
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)
Academic article
-
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)
Academic article
-
Sharma, Kshitij;
Papamitsiou, Zacharoula;
Giannakos, Michail.
(2019)
Modelling Learners’ Behaviour: A Novel Approach Using GARCH with Multimodal Data.
Lecture Notes in Computer Science (LNCS)
Academic article
2018
-
Papavlasopoulou, Sofia;
Sharma, Kshitij;
Giannakos, Michail.
(2018)
How do you feel about learning to code? Investigating the effect of children’s attitudes towards coding using eye-tracking.
International Journal of Child-Computer Interaction
Academic article
-
Sharma, Kshitij;
Olsen, Jennifer K;
Aleven, Vincent;
Rummel, Nikol.
(2018)
Exploring Causality Within Collaborative Problem Solving Using Eye-Tracking.
Lecture Notes in Computer Science (LNCS)
Academic article
-
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)
Academic article
-
Sharma, Kshitij;
Mangaroska, Katerina;
Giannakos, Michail;
Dillenbourg, Pierre.
(2018)
Interlacing Gaze and Actions to Explain the Debugging Process.
International Society of the Learning Sciences (ISLS)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Mangaroska, Katerina;
Trætteberg, Hallvard;
Lee-Cultura, Serena;
Giannakos, Michail.
(2018)
Evidence for Programming Strategies in University Coding Exercises.
Lecture Notes in Computer Science (LNCS)
Academic article
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail;
Jaccheri, Maria Letizia.
(2018)
Kid Coding Games and Artistic Robots: Attitudes and Gaze Behavior.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Giannakos, Michail;
Sharma, Kshitij;
Martinez-Maldonado, Roberto;
Dillenbourg, Pierre;
Rogers, Yvonne.
(2018)
Learner-computer interaction.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Mangaroska, Katerina;
Sharma, Kshitij.
(2018)
Adult Perception of Gender-Based Toys and Their Influence on Girls’ Careers in STEM.
Springer
Academic chapter/article/Conference paper
-
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
Academic article
-
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)
Academic article
-
Guneysu Ozgur, Arzu;
Wessel, Maximilian Jonas;
Johal, Wafa;
Sharma, Kshitij;
Zgur, Ayberk;
Vuadens, Philippe.
(2018)
Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots.
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Academic article
Journal publications
-
Kshitij, Kshitij;
Nguyen, Andy;
Hong, Yvonne.
(2024)
Self-regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies.
British Journal of Educational Technology (BJET)
Academic literature review
-
Das, Ronnie;
Ahmed, Wasim;
Kshitij, Kshitij;
Hardey, Mariann;
Dwivedi, Yogesh K.;
Zhang, Ziqi.
(2024)
Towards the development of an explainable e-commerce fake review index: An attribute analytics approach.
European Journal of Operational Research
Academic article
-
Lee-Cultura, Serena Glyn;
Kshitij, Kshitij;
Giannakos, Michail.
(2024)
Multimodal Teacher Dashboards: Challenges and Opportunities of Enhancing Teacher Insights Through a Case Study.
IEEE Transactions on Learning Technologies
Academic article
-
Kshitij, Kshitij;
Dwivedi, Yogesh K.;
Metri, Bhimaraya.
(2024)
Incorporating causality in energy consumption forecasting using deep neural networks.
Annals of Operations Research
Academic article
-
Mikalef, Patrik;
Sharma, Kshitij;
Chatterjee, Sheshadri;
Chaudhuri, Ranjan;
Parida, Vinit;
Gupta, Shivam.
(2023)
All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning.
Decision Support Systems
Academic article
-
Sharma, Kshitij;
Pappas, Ilias;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2022)
Wearable Sensing and Quantified-self to explain Learning Experience.
International Conference on Advanced Learning Technologies (ICALT)
Academic article
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2022)
Children's facial expressions during collaborative coding: Objective versus subjective performances.
International Journal of Child-Computer Interaction
Academic article
-
Sharma, Kshitij;
Lee-Cultura, Serena;
Giannakos, Michail.
(2022)
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning.
Frontiers in Artificial Intelligence
Academic article
-
Papavlasopoulou, Sofia;
Sharma, Kshitij;
Melhart, David;
Schellekens, Jasper;
Lee-Cultura, Serena;
Giannakos, Michail.
(2021)
Investigating gaze interaction to support children’s gameplay.
International Journal of Child-Computer Interaction
Academic article
-
Sharma, Kshitij;
Mangaroska, Katerina;
Berkel, Niels van;
Giannakos, Michail;
Kostakos, Vassilis.
(2021)
Information flow and cognition affect each other: Evidence from digital learning.
International Journal of Human-Computer Studies
Academic article
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Giannakos, Michail.
(2021)
Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach.
International Journal of Child-Computer Interaction
Academic article
-
Giannakos, Michail;
Lee-Cultura, Serena;
Sharma, Kshitij.
(2021)
Sensing-Based Analytics in Education: The Rise of Multimodal Data Enabled Learning Systems.
IT Professional Magazine
Academic article
-
Sharma, Kshitij;
Olsen, Jennifer K.;
Verma, Himanshu;
Caballero, Daniela;
Jermann, Patrick.
(2021)
Challenging Joint Visual Attention as a Proxy for Collaborative Performance.
Computer-Supported Collaborative Learning Series (CSCL)
Academic article
-
Sharma, Kshitij;
Giannakos, Michail.
(2021)
Sensing technologies and child–computer interaction: Opportunities, challenges and ethical considerations.
International Journal of Child-Computer Interaction
Academic article
-
Olsen, Jennifer K.;
Ozgur, Arzu Guneysu ;
Sharma, Kshitij;
Johal, Wafa.
(2021)
Leveraging eye tracking to understand children’s attention during game-based, tangible robotics activities.
International Journal of Child-Computer Interaction
Academic article
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Giannakos, Michail.
(2021)
Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play.
CEUR Workshop Proceedings
Academic article
-
Mangaroska, Katerina;
Sharma, Kshitij;
Gašević, Dragan;
Giannakos, Michail.
(2021)
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity.
Journal of Computer Assisted Learning (JCAL)
Academic article
-
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
Academic article
-
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
Academic article
-
Giannakos, Michail;
Spikol, Daniel;
Molenaar, Inge;
Di Mitri, Daniele;
Sharma, Kshitij;
Ochoa, Xavier.
(2020)
CrossMMLA in practice: Collecting, annotating and analyzing
multimodal data across spaces.
CEUR Workshop Proceedings
Editorial
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Retalis, Symeon;
Giannakos, Michail.
(2020)
Using sensing technologies to explain children's self-representation in motion-based educational games.
IDC '20: Proceedings of the Interaction Design and Children ConferenceJune 2020
Academic article
-
Papamitsiou, Zacharoula;
Sharma, Kshitij;
Giannakos, Michail.
(2020)
On the Dependence Structure between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?.
UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Academic article
-
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
Academic article
-
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)
Academic article
-
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)
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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 (JCAL)
Academic article
-
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
Academic article
-
Sharma, Kshitij;
Giannakos, Michail;
Dillenbourg, Pierre.
(2020)
Eye-tracking and artificial intelligence to enhance motivation and learning.
Smart Learning Environments
Academic article
-
Sharma, Kshitij;
Leftheriotis, Ioannis;
Giannakos, Michail.
(2020)
Utilizing interactive surfaces to enhance learning, collaboration and engagement: Insights from learners’ gaze and speech.
Sensors
Academic article
-
Sharma, Kshitij;
Giannakos, Michail.
(2020)
Multimodal data capabilities for learning: What can multimodal data tell us about learning?.
British Journal of Educational Technology (BJET)
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic literature review
-
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
Academic article
-
Gomez Escribano, Javier;
Jaccheri, Maria Letizia;
Maragoudakis, Manolis;
Sharma, Kshitij.
(2019)
Digital storytelling for good with Tappetina game.
Entertainment Computing
Academic article
-
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
Academic article
-
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
Academic article
-
Sharma, Kshitij;
Olsen, Jennifer K.
(2019)
An alternate statistical lens to look at collaboration data: Extreme value theory.
Computer-Supported Collaborative Learning Series (CSCL)
Academic article
-
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
Academic article
-
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)
Academic article
-
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)
Academic article
-
Sharma, Kshitij;
Papamitsiou, Zacharoula;
Giannakos, Michail.
(2019)
Modelling Learners’ Behaviour: A Novel Approach Using GARCH with Multimodal Data.
Lecture Notes in Computer Science (LNCS)
Academic article
-
Papavlasopoulou, Sofia;
Sharma, Kshitij;
Giannakos, Michail.
(2018)
How do you feel about learning to code? Investigating the effect of children’s attitudes towards coding using eye-tracking.
International Journal of Child-Computer Interaction
Academic article
-
Sharma, Kshitij;
Olsen, Jennifer K;
Aleven, Vincent;
Rummel, Nikol.
(2018)
Exploring Causality Within Collaborative Problem Solving Using Eye-Tracking.
Lecture Notes in Computer Science (LNCS)
Academic article
-
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)
Academic article
-
Sharma, Kshitij;
Mangaroska, Katerina;
Trætteberg, Hallvard;
Lee-Cultura, Serena;
Giannakos, Michail.
(2018)
Evidence for Programming Strategies in University Coding Exercises.
Lecture Notes in Computer Science (LNCS)
Academic article
-
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
Academic article
-
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)
Academic article
-
Guneysu Ozgur, Arzu;
Wessel, Maximilian Jonas;
Johal, Wafa;
Sharma, Kshitij;
Zgur, Ayberk;
Vuadens, Philippe.
(2018)
Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots.
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Academic article
Books
-
Giannakos, Michail;
Spikol, Daniel;
Di Mitri, Daniele;
Kshitij, Kshitij;
Ochoa, Xavier;
Hammad, Rawad.
(2022)
The Multimodal Learning Analytics Handbook.
Springer Nature
Springer Nature
Academic anthology/Conference proceedings
Part of book/report
-
Zhang, Feiran;
Brynildsrud, Hanne;
Papavlasopoulou, Sofia;
Kshitij, Kshitij;
Giannakos, Michail.
(2023)
Experiverse: Exploring an experiment-based gamification application for motivating children to science learning in an informal setting.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Dahl, Yngve;
Sharma, Kshitij.
(2022)
Six Facets of Facilitation: Participatory Design Facilitators’ Perspectives on Their Role and Its Realization.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Giannakos, Michail;
Spikol, Daniel;
Di Mitri, Daniele;
Kshitij, Kshitij;
Ochoa, Xavier;
Hammad, Rawad.
(2022)
Introduction to Multimodal Learning Analytics.
Springer Nature
Academic chapter/article/Conference paper
-
Tisza, Gabriella;
Kshitij, Kshitij;
Papavlasopoulou, Sofia;
Markopoulos, Panos;
Giannakos, Michail.
(2022)
Understanding Fun in Learning to Code: A Multi-Modal Data approach.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Dahl, Yngve;
Kshitij, Kshitij;
Svanæs, Dag.
(2022)
Towards Participatory Design Facilitation as Reflective Practice.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2021)
Faces Don’t Lie: Analysis of Children’s Facial expressions during Collaborative Coding.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Lee-Cultura, Serena;
Giannakos, Michail.
(2021)
Information flow and children’s emotions during collaborative coding: A causal analysis
.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Cosentino, Giulia;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2021)
Children’s Play and Problem Solving in Motion-Based Educational Games: Synergies between Human Annotations and Multi-Modal Data
.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Papamitsiou, Zacharoula;
Sharma, Kshitij;
Giannakos, Michail.
(2020)
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papamitsiou, Zacharoula;
Olsen, Jennifer K.;
Giannakos, Michail.
(2020)
Predicting learners' effortful behaviour in adaptive assessment using multimodal data.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Mishra, S.;
Papamitsiou, Zacharoula;
Munshi, A;
De, B. K.;
Biswas, Gautam.
(2020)
Towards Obtaining Facial Proxies for Gaze behaviour in TEL.
International Society of the Learning Sciences (ISLS)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Aloizou, Valeria;
Retalis, Symeon;
Giannakos, Michail.
(2020)
Children's Interaction with Motion-Based Touchless Games: Kinecting Effectiveness and Efficiency.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Retalis, Symeon;
Giannakos, Michail.
(2020)
Using Sensing Technologies to Explain Children’s Self-Representation in Motion-Based Educational Games.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Trætteberg, Hallvard;
Mavroudi, Anna;
Sharma, Kshitij;
Giannakos, Michail.
(2019)
Utilizing Real-Time Descriptive Learning Analytics to Enhance Learning Programming.
Springer Publishing Company
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2019)
Joint Emotional State of Children and Perceived Collaborative Experience in Coding Activities.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Giannakos, Michail;
Sharma, Kshitij;
Niforatos, Evangelos.
(2019)
Exploring EEG signals during the different phases of game-player interaction.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Pappas, Ilias;
Papavlasopoulou, Sofia;
Giannakos, Michail.
(2019)
Towards Automatic and Pervasive Physiological Sensing of Collaborative Learning.
International Society of the Learning Sciences (ISLS)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Dillenbourg, Pierre;
Giannakos, Michail.
(2019)
Stimuli-Based Gaze Analytics to Enhance Motivation and Learning in MOOCs.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Mangaroska, Katerina;
Giannakos, Michail;
Dillenbourg, Pierre.
(2018)
Interlacing Gaze and Actions to Explain the Debugging Process.
International Society of the Learning Sciences (ISLS)
Academic chapter/article/Conference paper
-
Sharma, Kshitij;
Papavlasopoulou, Sofia;
Giannakos, Michail;
Jaccheri, Maria Letizia.
(2018)
Kid Coding Games and Artistic Robots: Attitudes and Gaze Behavior.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Giannakos, Michail;
Sharma, Kshitij;
Martinez-Maldonado, Roberto;
Dillenbourg, Pierre;
Rogers, Yvonne.
(2018)
Learner-computer interaction.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Lee-Cultura, Serena;
Mangaroska, Katerina;
Sharma, Kshitij.
(2018)
Adult Perception of Gender-Based Toys and Their Influence on Girls’ Careers in STEM.
Springer
Academic chapter/article/Conference paper
Teaching
Courses
Knowledge Transfer
2021
-
Academic lectureSharma, Kshitij; Olsen, Jennifer K.; Verma, Himanshu; Caballero, Daniela; Jermann, Patrick. (2021) Challenging Joint Visual Attention as a Proxy for Collaborative Performance . International Society of the Learning Sciences Computer Supported Collaborative Learning 2021-06-08 - 2021-06-11
2018
-
Academic lectureLee-Cultura, Serena; Mangaroska, Katerina; Sharma, Kshitij. (2018) Adult Perception of Gender-Based Toys and Their Influence on Girls’ Careers in STEM. International Conference on Entertainment Computing , Pozan 2018-09-17 - 2018-09-20