Multimodal data capabilities for learning: What can multimodal data tell us about learning?

K Sharma, M Giannakos - British Journal of Educational …, 2020 - Wiley Online Library
Most research on learning technology uses clickstreams and questionnaires as their primary
source of quantitative data. This study presents the outcomes of a systematic literature …

Integrating multiple data sources for learning analytics—review of literature

J Samuelsen, W Chen, B Wasson - Research and Practice in Technology …, 2019 - Springer
Learning analytics (LA) promises understanding and optimization of learning and learning
environments. To enable richer insights regarding questions related to learning and …

[HTML][HTML] Multimodal data as a means to understand the learning experience

MN Giannakos, K Sharma, IO Pappas… - International Journal of …, 2019 - Elsevier
Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …

Learning analytics as a breakthrough in educational improvement

FJ García-Peñalvo - Radical solutions and learning analytics: Personalised …, 2020 - Springer
Learning analytics has become a reference area in the field of Learning Technologies as the
mixture of different technical and methodological approaches in the capture, treatment and …

Challenges and opportunities of multimodal data in human learning: The computer science students' perspective

K Mangaroska, R Martinez‐Maldonado… - Journal of Computer …, 2021 - Wiley Online Library
Multimodal data have the potential to explore emerging learning practices that extend
human cognitive capacities. A critical issue stretching in many multimodal learning analytics …

[HTML][HTML] A systematic review of the role of learning analytics in supporting personalized learning

ET Khor, MK - Education sciences, 2023 - mdpi.com
Personalized learning is becoming more important in today's diverse classrooms. It is a
strategy that tailors instruction to each student's abilities and interests. The benefits of …

Architecting analytics across multiple e-learning systems to enhance learning design

K Mangaroska, B Vesin, V Kostakos… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Blending shapley values for feature ranking in machine learning: an analysis on educational data

P Guleria - Neural Computing and Applications, 2024 - Springer
In educational institutions, it is now more important than ever to deliver high-quality
academic instruction, and educational data mining is essential for resolving problems that …

[PDF][PDF] El proceso de implementación de analíticas de aprendizaje

JA Ruipérez-Valiente - RIED-Revista Iberoamericana de Educación a …, 2020 - redalyc.org
Con el despegue de la popularidad del área de analítica de aprendizaje durante la última
década, numerosas investigaciones han surgido y la opinión pública se ha hecho eco de …

Adaptive assessment and content recommendation in online programming courses: On the use of Elo-rating

B Vesin, K Mangaroska, K Akhuseyinoglu… - ACM Transactions on …, 2022 - dl.acm.org
Online learning systems should support students preparedness for professional practice by
equip** them with the necessary skills while kee** them engaged and active. In that …