Browsing NTNU Open by Author "Giannakos, Michail"
Now showing items 1-20 of 167
-
A Tool for In-Video Feedback
Uy, Huynh (Master thesis, 2021)Learning Analytics (LA) på navigasjonsmønstre blir ikke brukt nok til sanntidsformål. Mange forskningsinnsatser ønsker å forbedre læringsprosessene ved bruk av overlays og notifikasjoner. Å bruke en LA-modell for å detektere ... -
Adaptive and Gamified Learning Technologies to Support Motivation and Engagement
Erlingsen, Alexander Gunnar (Master thesis, 2021)Spillifisering har blitt et stadig mer populært konsept det siste tiåret. Spillifisering innebærer tilpasning av mekanismer og elementer som vanligvis finnes i spill, for eksempel poeng, resultattavler og «badges» for å ... -
Adaptive assessment and content recommendation in online programming courses: On the use of Elo-rating
Vesin, Boban; Mangaroska, Katerina; Akhuseyinoglu, Kamil; Giannakos, Michail (Journal article; Peer reviewed, 2022)Online learning systems should support students preparedness for professional practice, by equipping them with the necessary skills while keeping them engaged and active. In that regard, the development of online learning ... -
An Exploratory Study on the Influence of Cognitive and Affective Characteristics in Programming-Based Making Activities
Pappas, Ilias; Papavlasopoulou, Sofia; Giannakos, Michail; Sampson, Demetrios G. (Chapter, 2017)Programming-based making activities are at the core of teaching strategies to engage young students in learning programming for developing computational thinking skills. Despite the initial evidences of enthusiastic ... -
Architecting Analytics Across Multiple E-learning Systems to Enhance Learning Design
Mangaroska, Katerina; Vesin, Boban; Kostakos, Vassilis; Brusilovsky, Peter; Giannakos, Michail (Journal article; Peer reviewed, 2021)With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights ... -
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 ... -
Assessing Student Behavior in Computer Science Education with an fsQCA Approach: The Role of Gains and Barriers
Pappas, Ilias; Giannakos, Michail; Jaccheri, Maria Letizia; Sampson, Demetrios G (Journal article; Peer reviewed, 2017)This study uses complexity theory to understand the causal patterns of factors that stimulate students’ intention to continue studies in computer science (CS). To this end, it identifies gains and barriers as essential ... -
Augmenting learning analytics with multimodal data to advance learning design: Research in computing education
Mangaroska, Katerina (Doctoral theses at NTNU;2021:28, Doctoral thesis, 2021)In the last ten years, higher education has witnessed a substantial increase in the number of learning technologies as a support to the more traditional classroom environments. Today’s technological advancements, from ... -
Big data analytics capabilities: a systematic literature review and research agenda
Mikalef, Patrick; Pappas, Ilias; Krogstie, John; Giannakos, Michail (Journal article; Peer reviewed, 2017)With big data growing rapidly in importance over the past few years, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive ... -
Big Data and Business Analytics Ecosystems: Paving the way towards digital transformation and sustainable societies
Pappas, Ilias; Mikalef, Patrick; Giannakos, Michail; Krogstie, John; Lekakos, George (Journal article, 2018)The digitalization process and its outcomes in the 21st century accelerate transformation and the creation of sustainable societies. Our decisions, actions and even existence in the digital world generate data, which offer ... -
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 facial expressions during collaborative coding: Objective versus subjective performances
Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Peer reviewed; Journal article, 2022)Educational research has used the information extracted from facial expressions to explain learning performance in various educational settings like collaborative learning. Leveraging this, we extracted the emotions based ... -
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. ... -
Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach
Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail (Journal article; Peer reviewed, 2021)Motion-Based Learning Technologies (MBLT) offer a promising approach for integrating play and problem-solving behaviour within children’s learning. The proliferation of sensor technology has driven the field of learning ... -
Children’s Play and Problem Solving in Motion-Based Educational Games: Synergies between Human Annotations and Multi-Modal Data
Lee-Cultura, Serena; Sharma, Kshitij; Cosentino, Giulia; Papavlasopoulou, Sofia; Giannakos, Michail (Chapter, 2021)Identifying and supporting children’s play and problem solving behaviour is important for designing educational technologies. This can inform feedback mechanisms to scaffold learning (provide hints or progress information), ... -
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 ... -
Computational thinking education: Issues and challenges
Angeli, Charoula; Giannakos, Michail (Journal article; Peer reviewed, 2019)Computational Thinking is a term applied to describe the increasing attention on students' knowledge development about designing computational solutions to problems, algorithmic thinking, and coding. It focuses on skills ... -
Computing Education Research Landscape through an Analysis of Keywords
Papamitsiou, Zacharoula; Giannakos, Michail; Simon, -; Luxton-Reilly, Andrew (Chapter, 2020)Authors of academic papers are generally required to nominate several keywords that characterize the paper, but are rarely offered guidance on how to select those keywords. We analyzed the keywords in the past 15 years of ... -
Cross-Platform Analytics: A step towards Personalization and Adaptation in Education
Mangaroska, Katerina; Vesin, Boban; Giannakos, Michail (Chapter, 2019)Learning analytics are used to track learners' progress and empower educators and learners to make well-informed data-driven decisions. However, due to the distributed nature of the learning process, analytics need to be ...