Browsing NTNU Open by Author "Sharma, Kshitij"
Now showing items 1-20 of 38
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Adult Perception of Gender-Based Toys and Their Influence on Girls’ Careers in STEM
Lee-Cultura, Serena; Mangaroska, Katerina; Sharma, Kshitij (Chapter, 2018)STEM and Computer Science (CS) in general, are perceived as masculine disciplines; a dangerous fallacy that discourages girls to show interest in the domain. However, companies are moving towards designing toys to attract ... -
Assessing cognitive performance using physiological and facial features: Generalizing across contexts
Sharma, Kshitij; Niforatos, Evangelos; Giannakos, Michail; Kostakos, Vassilis (Peer reviewed; Journal article, 2020)Sensing and machine learning advances have enabled the unobtrusive measurement of physiological responses and facial expressions so as to estimate one's cognitive performance. This often boils down to mapping the states ... -
Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach
Sharma, Kshitij; Papamitsiou, Zacharoula; Giannakos, Michail (Journal article; Peer reviewed, 2019)Students' on‐task engagement during adaptive learning activities has a significant effect on their performance, and at the same time, how these activities influence students' behavior is reflected in their effort exertion. ... -
Children's Interaction with Motion-Based Touchless Games: Kinecting Effectiveness and Efficiency
Lee-Cultura, Serena; Sharma, Kshitij; Aloizou, Valeria; Retalis, Symeon; Giannakos, Michail (Chapter, 2020)Leveraging movement data to support children's learning is appealing and technically challenging. However, there is limited knowledge about exploiting the complete design potential of bodily interplay in learning games. ... -
Coding activities for children: Coupling eye-tracking with qualitative data to investigate gender differences
Papavlasopoulou, Sofia; Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2019)Computational thinking and coding are becoming an integral part of K-12 education, with female students being underrepresented in such subjects. The proliferation of technological tools and programming environments offers ... -
Coding games and robots to enhance computational thinking: How collaboration and engagement moderate children’s attitudes?
Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Journal article; Peer reviewed, 2019)Collaboration and engagement while coding are vital elements for children, yet very little is known about how children’s engagement and collaboration impact their attitudes toward coding activities. The goal of the study ... -
Determining consumer engagement in word-of-mouth: Trust and network ties in a social commerce setting
Mikalef, Patrick; Pappas, Ilias; Giannakos, Michail; Sharma, Kshitij (Journal article; Peer reviewed, 2017)Prompted by the popularity of social commerce in the past few years, this study seeks to examine how online reviews influence consumer’s tendency to engage in word-of-mouth (WOM). We investigate how different aspects ... -
Digital storytelling for good with Tappetina game
Gomez Escribano, Javier; Jaccheri, Maria Letizia; Maragoudakis, Manolis; Sharma, Kshitij (Journal article; Peer reviewed, 2019)Context Storytelling is an important asset in today’s society. Digital platforms for storytelling can facilitate collaborative development of stories. The storytelling process, if properly facilitated, can lead to the ... -
Dual Gaze as a Proxy for Collaboration in Informal Learning
Sharma, Kshitij; Leftheriotis, Ioannis; Noor, Jama; Giannakos, Michail (Chapter, 2017)Interactive displays are increasingly employed in informal learning environments as a technology for enhancing students’ learning and engagement. Interactive displays allow students to collaborate and interact with the ... -
Evidence for Programming Strategies in University Coding Exercises
Sharma, Kshitij; Mangaroska, Katerina; Trætteberg, Hallvard; Lee-Cultura, Serena; Giannakos, Michail (Journal article; Peer reviewed, 2018)Success in coding exercises is deeply related to the strategy employed by the students to solve coding tasks. In this contribution, we analyze the programming assignments of 600 students from an introductory university ... -
Exploring EEG signals during the different phases of game-player interaction
Giannakos, Michail; Sharma, Kshitij; Niforatos, Evangelos (Chapter, 2019)Games are nowadays used to enhance different learning and teaching practices in institutions, companies and other venues. Factors that increase the adoption and integration of learning games have been widely studied in the ... -
Eye-tracking and artificial intelligence to enhance motivation and learning
Sharma, Kshitij; Giannakos, Michail; Dillenbourg, Pierre (Peer reviewed; Journal article, 2020)The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables ... -
Fitbit for learning: Towards capturing the learning experience using wearable sensing
Giannakos, Michail; Sharma, Kshitij; Papavlasopoulou, Sofia; Pappas, Ilias; Kostakos, Vassilis (Journal article; Peer reviewed, 2020)The assessment of learning during class activities mostly relies on standardized questionnaires to evaluate the efficacy of the learning design elements. However, standardized questionnaires pose additional strain on ... -
Gaze insights into debugging behavior using learner-centred analysis
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Trætteberg, Hallvard; Dillenbourg, Pierre (Chapter, 2018)The presented study tries to tackle an intriguing question of how user-generated data from current technologies can be used to reinforce learners' reflections, improve teaching practices, and close the learning analytics ... -
Gaze-Driven Design Insights to Amplify Debugging Skills: A Learner-Centered Analysis Approach
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Trætteberg, Hallvard; Dillenbourg, Pierre (Journal article; Peer reviewed, 2018)This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize ... -
How do you feel about learning to code? Investigating the effect of children’s attitudes towards coding using eye-tracking
Papavlasopoulou, Sofia; Sharma, Kshitij; Giannakos, Michail (Journal article; Peer reviewed, 2018)Computational thinking and coding for children are attracting increasing attention. There are several efforts around the globe to implement coding frameworks for children, and there is a need to develop an empirical knowledge ... -
How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data
Pappas, Ilias; Sharma, Kshitij; Mikalef, Patrick; Giannakos, Michail (Peer reviewed; Journal article, 2020)Abstract. This study examines how quickly we can predictusers’ ratings on vis-ual aesthetics in terms of simplicity, diversity, colorfulness, craftsmanship.To predict users’ ratings, first we capturegaze behaviorwhile ... -
Improving Girls’ Perception of Computer Science as a Viable Career Option through Game Playing and Design: Lessons from a Systematic Literature Review
Sharma, Kshitij; Torrado Vidal, Juan Carlos; Gomez, Javier; Jaccheri, Maria Letizia (Peer reviewed; Journal article, 2020)The objective of exposing girls to Computer Science as a career option has led to research directed towards gaming activities for girls. These activities include both game play and game design. Research about gaming ... -
Interlacing Gaze and Actions to Explain the Debugging Process
Sharma, Kshitij; Mangaroska, Katerina; Giannakos, Michail; Dillenbourg, Pierre (Chapter, 2018)Debugging is an indispensable skill of successful programmers. As such, teacher’s should not overlook it when teaching programming. The main aim of the study is to use gaze data combined with measures at different temporal ... -
Investigating students’ journey through a computer science program using exam data: three new approaches
Lorås, Madeleine; Trætteberg, Hallvard; Sharma, Kshitij (Journal article; Peer reviewed, 2019)A computing student will over the first three years of their studies complete approximately 20 exams and even more attempts due to failures and retakes. Details about all exam attempts are stored in a national database ...