Multimodal data capabilities for learning: What can multimodal data tell us about learning?
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 …
source of quantitative data. This study presents the outcomes of a systematic literature …
Integrating multiple data sources for learning analytics—review of literature
Learning analytics (LA) promises understanding and optimization of learning and learning
environments. To enable richer insights regarding questions related to learning and …
environments. To enable richer insights regarding questions related to learning and …
[HTML][HTML] Multimodal data as a means to understand the learning experience
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 …
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 …
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
Multimodal data have the potential to explore emerging learning practices that extend
human cognitive capacities. A critical issue stretching in many multimodal learning analytics …
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 …
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
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 …
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 …
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 …
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
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 …
equip** them with the necessary skills while kee** them engaged and active. In that …