Blar i NTNU Open på forfatter "Lee-Cultura, Serena"
-
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 ... -
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), ... -
Embodied Interaction and Spatial Skills: A Systematic Review of Empirical Studies
Lee-Cultura, Serena; Giannakos, Michail (Peer reviewed; Journal article, 2020)Embodied interaction describes the interplay between the brain and the body and its influence on the sharing, creation and manipulation of meaningful interactions with technology. Spatial skills entail the acquisition, ... -
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 ... -
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 ... -
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 ... -
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning
Sharma, Kshitij; Lee-Cultura, Serena; Giannakos, Michail (Peer reviewed; Journal article, 2022)The integration of Multimodal Data (MMD) and embodied learning systems (such as Motion Based Educational Games, MBEG), can help learning researchers to better understand the synergy between students' interactions and their ... -
Motion-Based Educational Games: Using Multi-Modal Data to Predict Player’s Performance
Lee-Cultura, Serena; Sharma, Kshitij; Papavlasopoulou, Sofia; Giannakos, Michail (Peer reviewed; Journal article, 2020)Multi-Modal Data (MMD) can help educational games researchers understand the synergistic relationship between player's movement and their learning experiences, and consequently uncover insights that may lead to improved ... -
Multi-modal Bayesian knowledge tracing
Hynne, Sigurd; Nordseth, Morten (Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multi-modal Bayesian knowledge tracing
Nordseth, Morten; Hynne, Sigurd (Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play
Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2021)Increased accessibility of lightweight sensors (e.g., eye trackers, physiological wristbands, and motion sensors), enable the extraction of student’s cognitive, physiological, skeletal, and affective data, as they engage ... -
Sensing-Based Analytics in Education: The Rise of Multimodal Data Enabled Learning Systems
Giannakos, Michail; Lee-Cultura, Serena; Sharma, Kshitij (Journal article; Peer reviewed, 2021)The proliferation of sensing technology and the produced sensing-based analytics (SBA) has driven several fields in the development of tools and methods that have transformed their industries. The utilization of SBA fulfills ... -
TetRotation: Utilising Multimodal Analytics and Gestural Interaction to Nurture Mental Rotation Skills
Lee-Cultura, Serena (Chapter, 2019)Embodied Interaction (EI) offers unique opportunities to uncover novel ways to achieve experiential learning whilst keeping students stimulated and engaged. Spatial abilities have been repeatedly demonstrated as a success ... -
Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games
Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2020)Leveraging motion-based touchless games (MBTG) to support children’s learning is appealing and technically challenging. The application of multimodal learning analytics (MMLA) can help researchers to better understand how ... -
Using Sensing Technologies to Explain Children’s Self-Representation in Motion-Based Educational Games
Lee-Cultura, Serena; Sharma, Kshitij; Papavlasopoulou, Sofia; Retalis, Symeon; Giannakos, Michail (Chapter, 2020)Motion-Based Touchless Games (MBTG) are being investigated as a promising interaction paradigm in children's learning experiences. Within these games, children's digital persona (i.e, avatar), enables them to efficiently ...