Blar i NTNU Open på forfatter "Sharma, Kshitij"
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Engineering Generalizable Features for Cognitive Performance from Eye-Tracking Data Through Machine Learning
Solvang, August Sollesnes; Hollund, Aslak (Master thesis, 2021)Moderne blikksporingsteknologi gjør det mulig med mindre sjenerende måling av kognitive ytelse. Kognisjonsevalueringssystemer bruker i dag skreddersydde egenskaper (features) til den gitte konteksten og har begrenset ... -
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 ... -
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity
Mangaroska, Katerina; Sharma, Kshitij; Gašević, Dragan; Giannakos, Michail (Peer reviewed; Journal article, 2021)Background Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education ... -
Exposing novice programmers to an expert's eye-gaze
Lindberg, Sander Bjerklund (Master thesis, 2022)Siden programmering, kodefeilsøking og kodeforståelse er kognitive prosesser, kan det være vanskelig for en person å skjelne sin nøyaktige tankeprosess for å lære bort hvordan de selv løser oppgaver til andre. Gjennom bruk ... -
Eye Tracking Studio – Designing and Evaluating a Feedback System Utilizing Eye-Tracking to Improve Remote Collaboration Between Pair Programmers
Rimolsrønning, Andreas; Plassen, Ola (Master thesis, 2022)Fjernparprogrammering har de siste årene sett en økning i popularitet, spesielt på grunn av økt bruk av hjemmekontor. Fjernsamarbeid har imidlertid ikke alle fordelene som samlokalisert samarbeid. Det er mangel på ikke-verbale ... -
Eye Tracking Studio – Designing and Evaluating a Feedback System Utilizing Eye-Tracking to Improve Remote Collaboration Between Pair Programmers
Rimolsrønning, Andreas; Plassen, Ola (Master thesis, 2022)Fjernparprogrammering har de siste årene sett en økning i popularitet, spesielt på grunn av økt bruk av hjemmekontor. Fjernsamarbeid har imidlertid ikke alle fordelene som samlokalisert samarbeid. Det er mangel på ikke-verbale ... -
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 ... -
Faces Don’t Lie: Analysis of Children’s Facial expressions during Collaborative Coding
Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Chapter, 2021)Educational research has used the information extracted from facial expressions to explain learning performance in a variety of educational settings like collaborative learning. Leveraging this, we extracted the emotions ... -
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 ... -
Information flow and children’s emotions during collaborative coding: A causal analysis
Sharma, Kshitij; Papavlasopoulou, Sofia; Lee-Cultura, Serena; Giannakos, Michail (Chapter, 2021)This paper investigates the relation between children’s joint gaze and emotions with the information flow of the screen from a causal point of view, in the context of collaborative coding. We employ Granger’s definition ... -
Information flow and cognition affect each other: Evidence from digital learning
Sharma, Kshitij; Mangaroska, Katerina; Berkel, Niels van; Giannakos, Michail; Kostakos, Vassilis (Journal article; Peer reviewed, 2021)In the context of learning systems, identifying causal relationships among information presented to the user, their behavior and cognitive effort required/exerted to understand and perform a task is key to building effective ... -
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 gaze interaction to support children’s gameplay
Papavlasopoulou, Sofia; Sharma, Kshitij; Melhart, David; Schellekens, Jasper; Lee-Cultura, Serena; Giannakos, Michail; Yiannakakis, Georgios (Journal article; Peer reviewed, 2021)Gaze interaction has become an affordable option in the development of innovative interaction methods for user input. Gaze holds great promise as an input modality, offering increased immersion and opportunities for combined ... -
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 ...