Sensing technologies and child–computer interaction: Opportunities, challenges and ethical considerations

K Sharma, M Giannakos - International Journal of Child-Computer …, 2021 - Elsevier
This study presents the outcomes of a systematic literature review of empirical evidence on
the capabilities of sensing technologies for child–computer interaction (CCI). This paper …

[HTML][HTML] Children's play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach

S Lee-Cultura, K Sharma, M Giannakos - International Journal of Child …, 2022 - Elsevier
Abstract Motion-Based Learning Technologies (MBLT) offer a promising approach for
integrating play and problem-solving behaviour within children's learning. The proliferation …

Use of wearable devices in the teaching-learning process: a systematic review of the literature

LD Glasserman-Morales, M Carlos-Arroyo… - Frontiers in …, 2023 - frontiersin.org
Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data
collection, facilitating the analysis of student interactions across a variety of resources …

Keep calm and do not carry-forward: Toward sensor-data driven AI agent to enhance human learning

K Sharma, S Lee-Cultura, M Giannakos - Frontiers in Artificial …, 2022 - frontiersin.org
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 …

Children's play and problem solving in motion-based educational games: Synergies between human annotations and multi-modal data

S Lee-Cultura, K Sharma, G Cosentino… - Proceedings of the 20th …, 2021 - dl.acm.org
Identifying and supporting children's play and problem solving behaviour is important for
designing educational technologies. This can inform feedback mechanisms to scaffold …

Multimodal teacher dashboards: challenges and opportunities of enhancing teacher insights through a case study

S Lee-Cultura, K Sharma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Teacher dashboards provide insights on students' progress through visualizations and
scores derived from data generated during teaching and learning activities (eg, response …

A black-box model for predicting difficulty of word puzzle games: a case study of Wordle

L Shi, Y Chen, J Lin, X Chen, G Dai - Knowledge and Information Systems, 2024 - Springer
The popular word-filling game Wordle has gained widespread attention since its release in
2022. Much attention has been paid to find the optimal strategy. However, this article …

Modeling Learners to Early Predict Their Performance in Educational Computer Games

D Hooshyar, N El Mawas, M Milrad, Y Yang - IEEE Access, 2023 - ieeexplore.ieee.org
Data mining approaches have proven to be successful in improving learners' interaction with
educational computer games. Despite the potential of predictive modelling in providing …

Carry-forward effect: providing proactive scaffolding to learning processes

K Sharma, M Giannakos - Behaviour & Information Technology, 2024 - Taylor & Francis
Multimodal data enables us to capture the cognitive and affective states of students to
provide a holistic understanding of learning processes in a wide variety of contexts. With the …

Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022)

AC da Silveira, M Lima de Souza… - … Journal of Human …, 2024 - Taylor & Francis
The evaluation of human responses in multimedia experiences using physiological data has
a well-established presence in the academic literature. However, this field is currently …