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Teaching Analytics: Towards Automatic Extraction of Orchestration Graphs Using Wearable Sensors

, , , and . International Learning Analytics and Knowledge, (2016)

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Motion-Based Educational Games: Using Multi-Modal Data to Predict Player's Performance., , , and . CoG, page 17-24. IEEE, (2020)How do you feel about learning to code? Investigating the effect of children's attitudes towards coding using eye-tracking., , and . Int. J. Child Comput. Interact., (2018)Coding games and robots to enhance computational thinking: How collaboration and engagement moderate children's attitudes?, , and . Int. J. Child Comput. Interact., (2019)Characterizing Learners' Engagement in MOOCs: An Observational Case Study Using the NoteMyProgress Tool for Supporting Self-Regulation., , , , and . IEEE Trans. Learn. Technol., 13 (4): 676-688 (2020)A gaze-based learning analytics model: in-video visual feedback to improve learner's attention in MOOCs., , , and . LAK, page 417-421. ACM, (2016)Exploring EEG signals during the different phases of game-player interaction., , and . VS-GAMES, page 1-8. IEEE, (2019)Coding activities for children: Coupling eye-tracking with qualitative data to investigate gender differences., , and . Comput. Hum. Behav., (2020)Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study., , , and . Inf. Syst. Frontiers, 23 (5): 1273-1286 (2021)SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks., , , , and . SemEval@COLING, page 580-584. International Committee for Computational Linguistics, (2020)Multimodal Learning Analytics to Inform Learning Design: Lessons Learned from Computing Education., , , and . J. Learn. Anal., 7 (3): 79-97 (December 2020)