Open learner models and learning analytics dashboards: a systematic review

R Bodily, J Kay, V Aleven, I Jivet, D Davis… - Proceedings of the 8th …, 2018 - dl.acm.org
This paper aims to link student facing Learning Analytics Dashboards (LADs) to the corpus
of research on Open Learner Models (OLMs), as both have similar goals. We conducted a …

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 …

Ontask: Delivering data-informed, personalized learning support actions

A Pardo, K Bartimote, SB Shum… - Journal of Learning …, 2018 - research.monash.edu
The learning analytics community has matured significantly over the past few years as a
middle space where technology and pedagogy combine to support learning experiences. To …

A multi-stage anomaly detection scheme for augmenting the security in IoT-enabled applications

S Garg, K Kaur, S Batra, G Kaddoum, N Kumar… - Future Generation …, 2020 - Elsevier
The synergy between data security and high intensive computing has envisioned the way to
robust anomaly detection schemes which in turn necessitates the need for efficient data …

Applying multimodal learning analytics to examine the immediate and delayed effects of instructor scaffoldings on small groups' collaborative programming

F Ouyang, X Dai, S Chen - International Journal of STEM Education, 2022 - Springer
Background Instructor scaffolding is proved to be an effective means to improve
collaborative learning quality, but empirical research indicates discrepancies about the …

The PERLA framework: Blending personalization and learning analytics

MA Chatti, A Muslim - International review of research in open and …, 2019 - erudit.org
Personalization is crucial for achieving smart learning environments in different lifelong
learning contexts. There is a need to shift from one-size-fits-all systems to personalized …

Curriculum analytics in higher education institutions: a systematic literature review

LMH De Silva, MJ Rodríguez-Triana… - Journal of Computing in …, 2024 - Springer
With technological advances, institutional stakeholders are considering evidence-based
developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on …

Introduction to multimodal learning analytics

M Giannakos, D Spikol, D Di Mitri, K Sharma… - The multimodal learning …, 2022 - Springer
This chapter provides an introduction and an overview of this edited book on Multimodal
Learning Analytics (MMLA). The goal of this book is to introduce the reader to the field of …

Big and open linked data analytics: a study on changing roles and skills in the higher educational process

M Lnenicka, H Kopackova, R Machova… - International Journal of …, 2020 - Springer
The concept of openness and information sharing (linking) together with increasing amounts
of data available significantly affect the current educational system. Institutions as well as …

The LAVA model: Learning analytics meets visual analytics

MA Chatti, A Muslim, M Guliani, M Guesmi - Adoption of data analytics in …, 2020 - Springer
Human-centered learning analytics (HCLA) is an approach that emphasizes the human
factors in learning analytics and truly meets user needs. User involvement in all stages of the …