Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning

K Mangaroska, M Giannakos - IEEE Transactions on Learning …, 2018 - ieeexplore.ieee.org
As the fields of learning analytics and learning design mature, the convergence and
synergies between the two are becoming an important area for research. This paper intends …

[HTML][HTML] Social learning analytics in computer-supported collaborative learning environments: A systematic review of empirical studies

R Kaliisa, B Rienties, AI Mørch, A Kluge - Computers and Education Open, 2022 - Elsevier
Social learning analytics (SLA) is a promising approach for identifying students' social
learning processes in computer-supported collaborative learning (CSCL) environments. To …

SENS: Network analytics to combine social and cognitive perspectives of collaborative learning

D Gašević, S Joksimović, BR Eagan… - Computers in Human …, 2019 - Elsevier
In this paper, we propose a novel approach to the analysis of collaborative learning. The
approach posits that different dimensions of collaborative learning emerging from social ties …

Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond

D Gašević, S Greiff, DW Shaffer - Computers in Human Behavior, 2022 - Elsevier
Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis

W Zou, X Hu, Z Pan, C Li, Y Cai, M Liu - Computers in Human Behavior, 2021 - Elsevier
Research has repeatedly proven the importance of social interactions in online learning
contexts such as Massive Open Online Courses (MOOCs), where learners often reported …

Student success prediction in MOOCs

J Gardner, C Brooks - User Modeling and User-Adapted Interaction, 2018 - Springer
Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …

Where is the evidence? A call to action for learning analytics

R Ferguson, D Clow - Proceedings of the seventh international learning …, 2017 - dl.acm.org
Where is the evidence for learning analytics? In particular, where is the evidence that it
improves learning in practice? Can we rely on it? Currently, there are vigorous debates …

How do we model learning at scale? A systematic review of research on MOOCs

S Joksimović, O Poquet, V Kovanović… - Review of …, 2018 - journals.sagepub.com
Despite a surge of empirical work on student participation in online learning environments,
the causal links between the learning-related factors and processes with the desired …

[HTML][HTML] Measuring social presence in online-based learning: An exploratory path analysis using log data and social network analysis

LM Norz, V Dornauer, WO Hackl… - The internet and higher …, 2023 - Elsevier
Social presence is a key element in collaborative/cooperative learning. In online learning
environments, it is challenging to measure the current state of social presence. This work …

How do we start? An approach to learning analytics adoption in higher education

D Gasevic, YS Tsai, S Dawson, A Pardo - The International Journal of …, 2019 - emerald.com
Purpose The analysis of data collected from user interactions with educational and
information technology has attracted much attention as a promising approach to advancing …