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., 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
Possaghi, Isabella; Zhang, Feiran; Kshitij, Kshitij; Papavlasopoulou, Sofia. (2024) Design Thinking Activities for K-12 Students: Multi-Modal Data Explanations on Coding Performance. Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
Cosentino, Giulia; Anton, Jacqueline; Kshitij, Kshitij; Gelsomini, Mirko; Giannakos, Michail; Abrahamson, Dor. (2024) Hybrid teaching intelligence: Lessons learned from an embodied mathematics learning experience. British Journal of Educational Technology (BJET)
Academic article
Kshitij, Kshitij; Giannakos, Michail. (2024) Carry-forward effect: providing proactive scaffolding to learning processes. Behaviour and Information Technology
Academic article
Zhang, Feiran; Possaghi, Isabella; Kshitij, Kshitij; Papavlasopoulou, Sofia. (2024) High-performing Groups during Children's Collaborative Coding Activities: What Can Multimodal Data Tell Us?. Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
Takaoka, Alicia Julia Wilson; Jaccheri, Maria Letizia; Kshitij, Kshitij. (2024) Exploring Self-Care, Anxiety, Depression, and the Gender Gap in the Software Engineering Pipeline. International Journal of Environmental Research and Public Health (IJERPH)
Academic article
Zhang, Feiran; Brynildsrud, Hanne; Papavlasopoulou, Sofia; Kshitij, Kshitij; Giannakos, Michail. (2024) Where inquiry-based science learning meets gamification: a design case of Experiverse. Behaviour and Information Technology
Academic article

2023

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
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

2022

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
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
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
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; 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; 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

2021

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
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
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
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; 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
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
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
Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail. (2021) Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play. CEUR Workshop Proceedings
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
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; 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

2020

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
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
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
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; 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
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; 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
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
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
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; 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
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
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
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; 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
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; Giannakos, Michail. (2020) Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games. CEUR Workshop Proceedings
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. 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

2019

Gomez Escribano, Javier; Jaccheri, Maria Letizia; Maragoudakis, Manolis; Sharma, Kshitij. (2019) Digital storytelling for good with Tappetina game. Entertainment Computing
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; Olsen, Jennifer K. (2019) An alternate statistical lens to look at collaboration data: Extreme value theory. Computer-Supported Collaborative Learning Series (CSCL)
Academic article
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; 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
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
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
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; 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
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
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
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
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

2018

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
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; 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
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
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
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
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
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
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

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
Cosentino, Giulia; Anton, Jacqueline; Kshitij, Kshitij; Gelsomini, Mirko; Giannakos, Michail; Abrahamson, Dor. (2024) Hybrid teaching intelligence: Lessons learned from an embodied mathematics learning experience. British Journal of Educational Technology (BJET)
Academic article
Kshitij, Kshitij; Giannakos, Michail. (2024) Carry-forward effect: providing proactive scaffolding to learning processes. Behaviour and Information Technology
Academic article
Takaoka, Alicia Julia Wilson; Jaccheri, Maria Letizia; Kshitij, Kshitij. (2024) Exploring Self-Care, Anxiety, Depression, and the Gender Gap in the Software Engineering Pipeline. International Journal of Environmental Research and Public Health (IJERPH)
Academic article
Zhang, Feiran; Brynildsrud, Hanne; Papavlasopoulou, Sofia; Kshitij, Kshitij; Giannakos, Michail. (2024) Where inquiry-based science learning meets gamification: a design case of Experiverse. Behaviour and Information Technology
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; 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
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; 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; 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
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
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
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; 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
Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail. (2021) Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play. CEUR Workshop Proceedings
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
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
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
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
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
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; 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
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; 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
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
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
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; 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
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
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
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; Giannakos, Michail. (2020) Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games. CEUR Workshop Proceedings
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. 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
Gomez Escribano, Javier; Jaccheri, Maria Letizia; Maragoudakis, Manolis; Sharma, Kshitij. (2019) Digital storytelling for good with Tappetina game. Entertainment Computing
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; Olsen, Jennifer K. (2019) An alternate statistical lens to look at collaboration data: Extreme value theory. Computer-Supported Collaborative Learning Series (CSCL)
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
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
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
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
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; 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; 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
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
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
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
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
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

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

Possaghi, Isabella; Zhang, Feiran; Kshitij, Kshitij; Papavlasopoulou, Sofia. (2024) Design Thinking Activities for K-12 Students: Multi-Modal Data Explanations on Coding Performance. Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
Zhang, Feiran; Possaghi, Isabella; Kshitij, Kshitij; Papavlasopoulou, Sofia. (2024) High-performing Groups during Children's Collaborative Coding Activities: What Can Multimodal Data Tell Us?. Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
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
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
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
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
Dahl, Yngve; Kshitij, Kshitij; Svanæs, Dag. (2022) Towards Participatory Design Facilitation as Reflective Practice. 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
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; 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
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
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; 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; 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; 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; 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

Outreach

2021

Academic lecture

Sharma, 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 lecture

Lee-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

Språkvelger

Kshitij Kshitij

Kshitij Kshitij

About

Publications

2024

2023

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2021

2020

2019

2018

Journal publications

Books

Part of book/report

Teaching

Courses

Outreach

2021

2018