Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and …
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 …
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 …
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 …
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 …
With technological advances, institutional stakeholders are considering evidence-based developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on …
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 …
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 …
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 …