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2020 – today
- 2024
[j40]Kshitij Sharma, Yogesh K. Dwivedi
, Bhimaraya A. Metri:
Incorporating causality in energy consumption forecasting using deep neural networks. Ann. Oper. Res. 339(1-2): 537-572 (2024)- [j39]Kshitij Sharma, Andy Nguyen, Yvonne Hong:
Self-regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies. Br. J. Educ. Technol. 55(4): 1398-1436 (2024) - [j38]Ronnie Das, Wasim Ahmed, Kshitij Sharma, Mariann Hardey, Yogesh K. Dwivedi, Ziqi Zhang, Chrysostomos Apostolidis, Raffaele Filieri:
Towards the development of an explainable e-commerce fake review index: An attribute analytics approach. Eur. J. Oper. Res. 317(2): 382-400 (2024) - [j37]Serena Lee-Cultura, Kshitij Sharma, Michail N. Giannakos:
Multimodal Teacher Dashboards: Challenges and Opportunities of Enhancing Teacher Insights Through a Case Study. IEEE Trans. Learn. Technol. 17: 181-201 (2024) - [c76]Isabella Possaghi, Feiran Zhang, Kshitij Sharma, Sofia Papavlasopoulou:
Design Thinking Activities for K-12 Students: Multi-Modal Data Explanations on Coding Performance. IDC 2024: 290-306 - [c75]Feiran Zhang, Isabella Possaghi, Kshitij Sharma, Sofia Papavlasopoulou:
High-performing Groups during Children's Collaborative Coding Activities: What Can Multimodal Data Tell Us? IDC 2024: 533-559 - [c74]Elmira Yadollahi, Mike E. U. Ligthart, Kshitij Sharma, Elisa Rubegni:
ExTra CTI: Explainable and Transparent Child-Technology Interaction. IDC 2024: 1016-1019 - [c73]John Krogstie, Kshitij Sharma:
Enhancing Our Understanding of Business Process Model Comprehension Using Biometric Data. BPMDS/EMMSAD@CAiSE 2024: 159-174 - [c72]John Krogstie, Kshitij Sharma:
Towards Neuro-adaptive Modelling Environments: Report from a Study on Prediction of Business Process Model Comprehension Performance using Biometric Data. PoEM Companion 2024 - [e2]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - [i1]Alicia Julia Wilson Takaoka, Kshitij Sharma:
Mental health of computing professionals and students: A systematic literature review. CoRR abs/2405.03416 (2024) - 2023
- [j36]Patrick Mikalef, Kshitij Sharma, Sheshadri Chatterjee, Ranjan Chaudhuri, Vinit Parida, Shivam Gupta:
All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning. Decis. Support Syst. 175: 114039 (2023) - [c71]Giulia Cosentino, Mirko Gelsomini, Kshitij Sharma, Michail N. Giannakos:
Interaction Modalities and Children's Learning in Multisensory Environments: Challenges and Trade-offs. IDC 2023: 397-410 - [c70]John Krogstie, Kshitij Sharma:
Neuro-Conceptualization: Visual Conceptual Modeling meets Neuroscience. EMISA 2023 - [c69]Kshitij Sharma, Michail N. Giannakos:
Carry-Forward Effect: Early scaffolding learning processes. LDT 2023: 43-52 - [c68]Feiran Zhang, Hanne Brynildsrud, Sofia Papavlasopoulou, Kshitij Sharma, Michail N. Giannakos:
Experiverse: Exploring an experiment-based gamification application for motivating children to science learning in an informal setting. LDT 2023: 70-78 - [d1]Ajay Patel, Charan KS, Prasansa Bhagat, Kshitij Sharma, C. Gururaj:
Hand Gesture Data. IEEE DataPort, 2023
- 2022
- [j35]Serena Lee-Cultura, Kshitij Sharma, Michail N. Giannakos:
Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach. Int. J. Child Comput. Interact. 31: 100355 (2022) - [j34]Jennifer K. Olsen, Arzu Guneysu Ozgur, Kshitij Sharma, Wafa Johal:
Leveraging eye tracking to understand children's attention during game-based, tangible robotics activities. Int. J. Child Comput. Interact. 31: 100447 (2022) - [j33]Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos:
Children's facial expressions during collaborative coding: Objective versus subjective performances. Int. J. Child Comput. Interact. 34: 100536 (2022) - [j32]Katerina Mangaroska, Kshitij Sharma, Dragan Gasevic, Michail N. Giannakos:
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity. J. Comput. Assist. Learn. 38(1): 40-59 (2022) - [c67]Gabriella Tisza, Kshitij Sharma, Sofia Papavlasopoulou, Panos Markopoulos, Michail N. Giannakos:
Understanding Fun in Learning to Code: A Multi-Modal Data approach. IDC 2022: 274-287 - [c66]Yngve Dahl, Kshitij Sharma:
Six Facets of Facilitation: Participatory Design Facilitators' Perspectives on Their Role and Its Realization. CHI 2022: 484:1-484:14 - [c65]Kshitij Sharma, Ilias O. Pappas, Sofia Papavlasopoulou, Michail N. Giannakos:
Wearable Sensing and Quantified-self to explain Learning Experience. ICALT 2022: 136-138 - [c64]Yngve Dahl, Kshitij Sharma, Dag Svanes:
Towards Participatory Design Facilitation as Reflective Practice. NordiCHI (Adjunct) 2022: 4:1-4:3 - 2021
- [j31]Kshitij Sharma, Juan Carlos Torrado, Javier Gómez, Letizia Jaccheri:
Improving girls' perception of computer science as a viable career option through game playing and design: Lessons from a systematic literature review. Entertain. Comput. 36: 100387 (2021) - [j30]Kshitij Sharma, Serena Lee-Cultura, Michail N. Giannakos:
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning. Frontiers Artif. Intell. 4 (2021) - [j29]Kshitij Sharma, Michail N. Giannakos:
Sensing technologies and child-computer interaction: Opportunities, challenges and ethical considerations. Int. J. Child Comput. Interact. 30: 100331 (2021) - [j28]Sofia Papavlasopoulou, Kshitij Sharma, David Melhart, Jasper Schellekens, Serena Lee-Cultura, Michail N. Giannakos, Georgios N. Yiannakakis:
Investigating gaze interaction to support children's gameplay. Int. J. Child Comput. Interact. 30: 100349 (2021) - [j27]Kshitij Sharma, Katerina Mangaroska, Niels van Berkel, Michail N. Giannakos, Vassilis Kostakos:
Information flow and cognition affect each other: Evidence from digital learning. Int. J. Hum. Comput. Stud. 146: 102549 (2021) - [j26]Patrick Mikalef, Kshitij Sharma, Ilias O. Pappas, Michail N. Giannakos:
Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study. Inf. Syst. Frontiers 23(5): 1273-1286 (2021) - [j25]Michail N. Giannakos, Serena Lee-Cultura, Kshitij Sharma:
Sensing-Based Analytics in Education: The Rise of Multimodal Data Enabled Learning Systems. IT Prof. 23(6): 31-38 (2021) - [j24]Kshitij Sharma, Jennifer K. Olsen, Vincent Aleven, Nikol Rummel:
Measuring causality between collaborative and individual gaze metrics for collaborative problem-solving with intelligent tutoring systems. J. Comput. Assist. Learn. 37(1): 51-68 (2021) - [c63]Kshitij Sharma, Sofia Papavlasopoulou, Serena Lee-Cultura, Michail N. Giannakos:
Information flow and children's emotions during collaborative coding: A causal analysis. IDC 2021: 350-362 - [c62]Serena Lee-Cultura, Kshitij Sharma, Giulia Cosentino, Sofia Papavlasopoulou, Michail N. Giannakos:
Children's Play and Problem Solving in Motion-Based Educational Games: Synergies between Human Annotations and Multi-Modal Data. IDC 2021: 408-420 - [c61]Serena Lee-Cultura, Kshitij Sharma, Michail N. Giannakos:
Multimodal AI Agent to Support Students' Motion-Based Educational Game Play. MAIED@AIED 2021: 103-112 - [c60]Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos:
Faces Don't Lie: Analysis of Children's Facial expressions during Collaborative Coding. FabLearn/MakeEd 2021: 7:1-7:10 - 2020
- [j23]Kshitij Sharma, Michail N. Giannakos:
Multimodal data capabilities for learning: What can multimodal data tell us about learning? Br. J. Educ. Technol. 51(5): 1450-1484 (2020) - [j22]Jennifer K. Olsen, Kshitij Sharma, Nikol Rummel, Vincent Aleven:
Temporal analysis of multimodal data to predict collaborative learning outcomes. Br. J. Educ. Technol. 51(5): 1527-1547 (2020) - [j21]Sofia Papavlasopoulou, Kshitij Sharma, Michail N. Giannakos:
Coding activities for children: Coupling eye-tracking with qualitative data to investigate gender differences. Comput. Hum. Behav. 105: 105939 (2020) - [j20]Michail N. Giannakos, Kshitij Sharma, Sofia Papavlasopoulou, Ilias O. Pappas, Vassilis Kostakos:
Fitbit for learning: Towards capturing the learning experience using wearable sensing. Int. J. Hum. Comput. Stud. 136: 102384 (2020) - [j19]Kshitij Sharma, Evangelos Niforatos, Michail N. Giannakos, Vassilis Kostakos:
Assessing Cognitive Performance Using Physiological and Facial Features: Generalizing across Contexts. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 95:1-95:41 (2020) - [j18]Michail N. Giannakos, Sofia Papavlasopoulou, Kshitij Sharma:
Monitoring Children's Learning Through Wearable Eye-Tracking: The Case of a Making-Based Coding Activity. IEEE Pervasive Comput. 19(1): 10-21 (2020) - [j17]Kshitij Sharma, Ioannis Leftheriotis, Michail N. Giannakos:
Utilizing Interactive Surfaces to Enhance Learning, Collaboration and Engagement: Insights from Learners' Gaze and Speech. Sensors 20(7): 1964 (2020) - [j16]Kshitij Sharma, Michail N. Giannakos, Pierre Dillenbourg:
Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learn. Environ. 7(1): 13 (2020) - [j15]Katerina Mangaroska, Kshitij Sharma, Dragan Gasevic, Michail N. Giannakos:
Multimodal Learning Analytics to Inform Learning Design: Lessons Learned from Computing Education. J. Learn. Anal. 7(3): 79-97 (2020) - [j14]Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Kshitij Sharma, Diego Sapunar-Opazo, Mar Pérez-Sanagustín:
Characterizing Learners' Engagement in MOOCs: An Observational Case Study Using the NoteMyProgress Tool for Supporting Self-Regulation. IEEE Trans. Learn. Technol. 13(4): 676-688 (2020) - [j13]Zacharoula K. Papamitsiou, Ilias O. Pappas, Kshitij Sharma, Michail N. Giannakos:
Utilizing Multimodal Data Through fsQCA to Explain Engagement in Adaptive Learning. IEEE Trans. Learn. Technol. 13(4): 689-703 (2020) - [c59]Serena Lee-Cultura, Kshitij Sharma, Sofia Papavlasopoulou, Symeon Retalis, Michail N. Giannakos:
Using sensing technologies to explain children's self-representation in motion-based educational games. IDC 2020: 541-555 - [c58]Serena Lee-Cultura, Kshitij Sharma, Valeria Aloizou, Symeon Retalis, Michail N. Giannakos:
Children's Interaction with Motion-Based Touchless Games: Kinecting Effectiveness and Efficiency. CHI PLAY (Companion) 2020: 140-145 - [c57]Serena Lee-Cultura, Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos:
Motion-Based Educational Games: Using Multi-Modal Data to Predict Player's Performance. CoG 2020: 17-24 - [c56]Ilias O. Pappas, Kshitij Sharma, Patrick Mikalef, Michail N. Giannakos:
How Quickly Can We Predict Users' Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data. I3E (2) 2020: 429-440 - [c55]Kshitij Sharma, Shitanshu Mishra, Zacharoula K. Papamitsiou, Anabil Munshi, Bikram Kumar De, Gautam Biswas, Michail N. Giannakos:
Towards Obtaining Facial Proxies for Gaze behaviour in TEL. ICLS 2020 - [c54]Serena Lee-Cultura, Kshitij Sharma, Michail N. Giannakos:
Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games. CrossMMLA@LAK 2020: 34-39 - [c53]Kshitij Sharma, Zacharoula K. Papamitsiou, Jennifer K. Olsen, Michail N. Giannakos:
Predicting learners' effortful behaviour in adaptive assessment using multimodal data. LAK 2020: 480-489 - [c52]Rishivardhan K, Kayalvizhi S, Thenmozhi D, Raghav R., Kshitij Sharma:
SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks. SemEval@COLING 2020: 580-584 - [c51]Zacharoula K. Papamitsiou, Kshitij Sharma, Michail N. Giannakos:
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What? UMAP 2020: 201-210 - [e1]Michail N. Giannakos, Daniel Spikol, Inge Molenaar, Daniele Di Mitri, Kshitij Sharma, Xavier Ochoa, Rawad Hammad:
Proceedings of CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces co-located with 10th International Learning and Analytics Conference (LAK 2020), Cyberspace, March 24, 2020. CEUR Workshop Proceedings 2610, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j12]Kshitij Sharma, Zacharoula K. Papamitsiou, Michail N. Giannakos:
Building pipelines for educational data using AI and multimodal analytics: A "grey-box" approach. Br. J. Educ. Technol. 50(6): 3004-3031 (2019) - [j11]Javier Gómez, Letizia Jaccheri, Manolis Maragoudakis, Kshitij Sharma:
Digital storytelling for good with Tappetina game. Entertain. Comput. 30 (2019) - [j10]Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos:
Coding games and robots to enhance computational thinking: How collaboration and engagement moderate children's attitudes? Int. J. Child Comput. Interact. 21: 65-76 (2019) - [j9]Michail N. Giannakos, Kshitij Sharma, Ilias O. Pappas, Vassilis Kostakos, Eduardo Velloso:
Multimodal data as a means to understand the learning experience. Int. J. Inf. Manag. 48: 108-119 (2019) - [j8]Thibault Asselborn, Kshitij Sharma, Wafa Johal, Pierre Dillenbourg:
Bridging Multilevel Time Scales in HRI: An Analysis Framework. ACM Trans. Hum. Robot Interact. 8(3): 17:1-17:24 (2019) - [c50]Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos:
Joint Emotional State of Children and Perceived Collaborative Experience in Coding Activities. IDC 2019: 133-145 - [c49]Kshitij Sharma, Jennifer K. Olsen:
An Alternate Statistical Lens to Look at Collaboration Data: Extreme Value Theory. CSCL 2019 - [c48]Kshitij Sharma, Ilias O. Pappas, Sofia Papavlasopoulou, Michail N. Giannakos:
Towards Automatic and Pervasive Physiological Sensing of Collaborative Learning. CSCL 2019 - [c47]Mar Pérez-Sanagustín, Kshitij Sharma, Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Julien Broisin:
Analyzing Learners' Behavior Beyond the MOOC: An Exploratory Study. EC-TEL 2019: 40-54 - [c46]Kshitij Sharma, Zacharoula K. Papamitsiou, Michail N. Giannakos:
Modelling Learners' Behaviour: A Novel Approach Using GARCH with Multimodal Data. EC-TEL 2019: 450-465 - [c45]Kshitij Sharma, Pierre Dillenbourg, Michail N. Giannakos:
Stimuli-Based Gaze Analytics to Enhance Motivation and Learning in MOOCs. ICALT 2019: 199-203 - [c44]Anupriya Shrivastava, Joseph Amudha, Deepa Gupta, Kshitij Sharma:
Deep Learning Model for Text Recognition in Images. ICCCNT 2019: 1-6 - [c43]Madeleine Lorås, Hallvard Trætteberg, Kshitij Sharma:
Investigating students' journey through a computer science program using exam data: three new approaches. NIK 2019 - [c42]Michail N. Giannakos, Kshitij Sharma, Evangelos Niforatos:
Exploring EEG signals during the different phases of game-player interaction. VS-GAMES 2019: 1-8 - 2018
- [j7]Bertrand Schneider, Kshitij Sharma, Sébastien Cuendet, Guillaume Zufferey, Pierre Dillenbourg, Roy Pea:
Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups. Int. J. Comput. Support. Collab. Learn. 13(3): 241-261 (2018) - [j6]Sofia Papavlasopoulou, Kshitij Sharma, Michail N. Giannakos:
How do you feel about learning to code? Investigating the effect of children's attitudes towards coding using eye-tracking. Int. J. Child Comput. Interact. 17: 50-60 (2018) - [j5]Luis Pablo Prieto, Kshitij Sharma, Lukasz Kidzinski, María Jesús Rodríguez-Triana, Pierre Dillenbourg:
Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data. J. Comput. Assist. Learn. 34(2): 193-203 (2018) - [j4]Katerina Mangaroska, Kshitij Sharma, Michail N. Giannakos, Hallvard Trætteberg, Pierre Dillenbourg:
Gaze-Driven Design Insights to Amplify Debugging Skills: A Learner-Centered Analysis Approach. J. Learn. Anal. 5(3) (2018) - [j3]Luis Pablo Prieto, Kshitij Sharma, Lukasz Kidzinski, Pierre Dillenbourg:
Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking. IEEE Trans. Learn. Technol. 11(2): 216-229 (2018) - [c41]Patrick Mikalef, Kshitij Sharma, Ilias O. Pappas:
Social commerce and consumer search behavior: An eye-tracking study. AMCIS 2018 - [c40]Eva Thelisson, Kshitij Sharma, Hanan Salam, Virginia Dignum:
The General Data Protection Regulation: An Opportunity for the HCI Community? CHI Extended Abstracts 2018 - [c39]Kshitij Sharma, Katerina Mangaroska, Hallvard Trætteberg, Serena Lee-Cultura, Michail N. Giannakos:
Evidence for Programming Strategies in University Coding Exercises. EC-TEL 2018: 326-339 - [c38]Stian Håklev, Kshitij Sharma, Jim Slotta, Pierre Dillenbourg:
Semantically Meaningful Cohorts Enable Specialized Knowledge Sharing in a Collaborative MOOC. EC-TEL 2018: 370-384 - [c37]Kshitij Sharma, Jennifer K. Olsen, Vincent Aleven, Nikol Rummel:
Exploring Causality Within Collaborative Problem Solving Using Eye-Tracking. EC-TEL 2018: 412-426 - [c36]Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos, Letizia Jaccheri:
Kid Coding Games and Artistic Robots: Attitudes and Gaze Behavior. FabLearn Europe 2018: 64-71 - [c35]Ilias O. Pappas, Kshitij Sharma, Patrick Mikalef, Michail N. Giannakos:
Visual Aesthetics of E-Commerce Websites: An Eye-Tracking Approach. HICSS 2018: 1-10 - [c34]Arzu Guneysu Ozgur, Maximilian Jonas Wessel, Wafa Johal, Kshitij Sharma, Ayberk Özgür, Philippe Vuadens, Francesco Mondada, Friedhelm Christoph Hummel, Pierre Dillenbourg:
Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots. HRI 2018: 241-250 - [c33]Patrick Jermann, Kshitij Sharma:
Gaze as a Proxy for Cognition and Communication. ICALT 2018: 152-154 - [c32]Jennifer K. Olsen, Kshitij Sharma, Vincent Aleven, Nikol Rummel:
Combining Gaze, Dialogue, and Action from a Collaborative Intelligent Tutoring System to Inform Student Learning Processes. ICLS 2018 - [c31]Kshitij Sharma, Katerina Mangaroska, Michail N. Giannakos, Pierre Dillenbourg:
Interlacing Gaze and Actions to Explain the Debugging Process. ICLS 2018 - [c30]Serena Lee-Cultura, Katerina Mangaroska, Kshitij Sharma:
Adult Perception of Gender-Based Toys and Their Influence on Girls' Careers in STEM. ICEC 2018: 407-410 - [c29]Katerina Mangaroska, Kshitij Sharma, Michail N. Giannakos, Hallvard Trætteberg, Pierre Dillenbourg:
Gaze insights into debugging behavior using learner-centred analysis. LAK 2018: 350-359 - [c28]Michail N. Giannakos, Kshitij Sharma, Roberto Martínez Maldonado, Pierre Dillenbourg, Yvonne Rogers:
Learner-computer interaction. NordiCHI 2018: 968-971 - [c27]Ilias O. Pappas, Kshitij Sharma, Patrick Mikalef, Michail N. Giannakos:
A Comparison of Gaze Behavior of Experts and Novices to Explain Website Visual Appeal. PACIS 2018: 105 - 2017
- [j2]Kshitij Sharma, Valérie Chavez-Demoulin, Pierre Dillenbourg:
An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data. J. Learn. Anal. 4(3) (2017) - [c26]Sofia Papavlasopoulou, Kshitij Sharma, Michail N. Giannakos, Letizia Jaccheri:
Using Eye-Tracking to Unveil Differences Between Kids and Teens in Coding Activities. IDC 2017: 171-181 - [c25]Rémi Venant, Kshitij Sharma, Pierre Dillenbourg, Philippe Vidal, Julien Broisin:
A Study of Learners' Behaviors in Hands-On Learning Situations and Their Correlation with Academic Performance. AIED 2017: 570-573 - [c24]Kshitij Sharma, Patrick Jermann, Pierre Dillenbourg, Luis Pablo Prieto, Sarah D'Angelo, Darren Gergle, Bertrand Schneider, Martina A. Rau, Zachary A. Pardos, Nikol Rummel:
CSCL and Eye-Tracking: Experiences, Opportunities and Challenges. CSCL 2017 - [c23]Kshitij Sharma, Ioannis Leftheriotis, Jama Noor, Michail N. Giannakos:
Dual Gaze as a Proxy for Collaboration in Informal Learning. CSCL 2017 - [c22]Stian Håklev, Kshitij Sharma, James D. Slotta, Pierre Dillenbourg:
Contextualizing the Co-creation of Artefacts Within the Nested Social Structure of a Collaborative MOOC. EC-TEL 2017: 67-81 - [c21]Kshitij Sharma, Hamed S. Alavi, Patrick Jermann, Pierre Dillenbourg:
Looking THROUGH versus Looking AT: A Strong Concept in Technology Enhanced Learning. EC-TEL 2017: 238-253 - [c20]Rémi Venant, Kshitij Sharma, Philippe Vidal, Pierre Dillenbourg, Julien Broisin:
Using Sequential Pattern Mining to Explore Learners' Behaviors and Evaluate Their Correlation with Performance in Inquiry-Based Learning. EC-TEL 2017: 286-299 - [c19]Patrick Mikalef, Ilias O. Pappas, Michail N. Giannakos, Kshitij Sharma:
Determining Consumer Engagement in Word-of-Mouth: Trust and Network Ties in a Social Commerce Setting. I3E 2017: 351-362 - [c18]Patrick Mikalef, Kshitij Sharma, Ilias O. Pappas, Michail N. Giannakos:
Online Reviews or Marketer Information? An Eye-Tracking Study on Social Commerce Consumers. I3E 2017: 388-399 - 2016
- [j1]Bertrand Schneider, Kshitij Sharma, Sébastien Cuendet, Guillaume Zufferey, Pierre Dillenbourg, Roy Pea:
Using Mobile Eye-Trackers to Unpack the Perceptual Benefits of a Tangible User Interface for Collaborative Learning. ACM Trans. Comput. Hum. Interact. 23(6): 39:1-39:23 (2016) - [c17]Mina Shirvani Boroujeni, Kshitij Sharma, Lukasz Kidzinski, Lorenzo Lucignano, Pierre Dillenbourg:
How to Quantify Student's Regularity? EC-TEL 2016: 277-291 - [c16]Lukasz Kidzinski, Kshitij Sharma, Mina Shirvani Boroujeni, Pierre Dillenbourg:
On generalizability of MOOC models. EDM 2016: 406-411 - [c15]Bertrand Schneider, Kshitij Sharma, Sébastien Cuendet, Guillaume Zufferey, Pierre Dillenbourg, Roy Pea:
Detecting Collaborative Dynamics Using Mobile Eye-Trackers. ICLS 2016 - [c14]Kshitij Sharma, Sarah D'Angelo, Darren Gergle, Pierre Dillenbourg:
Visual Augmentation of Deictic Gestures in MOOC Videos. ICLS 2016 - [c13]Luis Pablo Prieto, Kshitij Sharma, Pierre Dillenbourg, María Jesús Rodríguez-Triana:
Teaching analytics: towards automatic extraction of orchestration graphs using wearable sensors. LAK 2016: 148-157 - [c12]Kshitij Sharma, Hamed S. Alavi, Patrick Jermann, Pierre Dillenbourg:
A gaze-based learning analytics model: in-video visual feedback to improve learner's attention in MOOCs. LAK 2016: 417-421 - [c11]Stephen Ranshous, Steve Harenberg, Kshitij Sharma, Nagiza F. Samatova:
A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations. SDM 2016: 189-197 - 2015
- [b1]Kshitij Sharma:
Gaze Analysis methods for Learning Analytics. EPFL, Switzerland, 2015 - [c10]