Blar i NTNU Open på forfatter "Mangaroska, Katerina"
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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 ... -
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 ... -
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 ... -
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 ... -
Challenges and opportunities of multimodal data in human learning: The computer science students' perspective
Mangaroska, Katerina; Vesin, Boban; Martinez‐Maldonado, Roberto; Gašević, Dragan (Peer reviewed; Journal article, 2021)Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current ... -
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 ... -
Elo-Rating Method: Towards Adaptive Assessment in E-Learning
Mangaroska, Katerina; Vesin, Boban; Giannakos, Michail (Chapter, 2019)The success of technology enhanced learning can be increased by tailoring the content and the learning resources for every student; thus, optimizing the learning process. This study proposes a method for evaluating content ... -
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 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 ... -
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 ... -
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 ... -
Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning
Mangaroska, Katerina; Giannakos, Michail (Journal article; Peer reviewed, 2018)As the fields of learning analytics and learning design mature, the convergence and synergies between these two fields became an important area for research. This paper intends to summarize the main outcomes of a systematic ... -
Learning Analytics for Learning Design: Towards Evidence-Driven Decisions to Enhance Learning
Mangaroska, Katerina; Giannakos, Michail (Journal article; Peer reviewed, 2017)As the fields of learning analytics and learning design mature, the convergence and synergies between them become an important area for research. Collecting and combining learning analytics coming from different channels ... -
Learning in Smart Environments: User-centered Design and Analytics of an Adaptive Learning System
Vesin, Boban; Mangaroska, Katerina; Giannakos, Michail (Journal article; Peer reviewed, 2018)The complexity of today’s learning processes and practices entails various challenges. It is becoming much harder for teachers to observe, control, and adjust the learning process. Moreover, contemporary teaching is enhanced ... -
Multimodal learning analytics to inform learning design: Lessons learned from computing education
Mangaroska, Katerina; Sharma, Kshitij; Gasevic, Dragan; Giannakos, Michail (Peer reviewed; Journal article, 2020)Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited ... -
Teacher Tracking with Integrity: What Indoor Positioning Can Reveal About Instructional Proxemics
Martinez-Maldonado, Roberto; Mangaroska, Katerina; Schulte, Jurgen; Elliott, Doug; Axisa, Carmen; Buckingham Shum, Simon (Peer reviewed; Journal article, 2020)Automatic tracking of activity and location in the classroom is becoming increasingly feasible and inexpensive. However, although there is a growing interest in creating classrooms embedded with tracking capabilities using ... -
The Dynamics of Motivational and Emotional Challenges and Regulation Strategies in Customer-Driven Project-Based Learning
Mangaroska, Katerina; Jaccheri, Maria Letizia; Vesin, Boban; Giannakos, Michail (Chapter, 2019)Project-based learning has been introduced in many university courses as a dynamic classroom approach that motivates active exploration of real-world problems. It is also proven as one of the most effective ways for students ... -
The Vent Learning Analytics Dashboard - and VSON container format for visualization data
Herde, Nils (Master thesis, 2018)Education is increasingly more digitized, and dispersed on several platforms, devices and applications. Inspired by domains like business intelligence; learning analytics is becoming increasingly prevalent as a means to ...