Mining big data in education: Affordances and challenges

C Fischer, ZA Pardos, RS Baker… - Review of research …, 2020 - journals.sagepub.com
The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …

Supporting self-regulated learning in online learning environments and MOOCs: A systematic review

J Wong, M Baars, D Davis, T Van Der Zee… - … Journal of Human …, 2019 - Taylor & Francis
ABSTRACT Massive Open Online Courses (MOOCs) allow learning to take place anytime
and anywhere with little external monitoring by teachers. Characteristically, highly diverse …

How weird is CHI?

S Linxen, C Sturm, F Brühlmann, V Cassau… - Proceedings of the …, 2021 - dl.acm.org
Computer technology is often designed in technology hubs in Western countries, invariably
making it “WEIRD”, because it is based on the intuition, knowledge, and values of people …

Do social features help in video-centric online learning platforms? A social presence perspective

SA Andel, T de Vreede, PE Spector… - Computers in Human …, 2020 - Elsevier
The popularity of online learning is growing exponentially. Accordingly, it is critical to
understand how we can facilitate the learning experience for users in these unique online …

Progress and new directions for teaching and learning in MOOCs

R Deng, P Benckendorff, D Gannaway - Computers & Education, 2019 - Elsevier
This paper presents a narrative review of the literature related to the landscape of learning
and teaching in Massive Open Online Courses (MOOCs). Past reviews of the MOOC …

Learning in MOOCs: Motivations and self-regulated learning in MOOCs

A Littlejohn, N Hood, C Milligan, P Mustain - The internet and higher …, 2016 - Elsevier
Massive open online courses (MOOCs) require individual learners to be able to self-regulate
their learning, determining when and how they engage. However, MOOCs attract a diverse …

Learner engagement in MOOCs: Scale development and validation

R Deng, P Benckendorff… - British Journal of …, 2020 - Wiley Online Library
The purpose of this study is to contribute to a better understanding of the complexity of
conceptualising and measuring learner engagement in Massive Open Online Courses …

The role of demographics in online learning; A decision tree based approach

S Rizvi, B Rienties, SA Khoja - Computers & Education, 2019 - Elsevier
Research has shown online learners' performance to have a strong association with their
demographic characteristics, such as regional belonging, socio-economic standing …

Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses

J Maldonado-Mahauad, M Pérez-Sanagustín… - Computers in Human …, 2018 - Elsevier
Big data in education offers unprecedented opportunities to support learners and advance
research in the learning sciences. Analysis of observed behaviour using computational …

Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses

RF Kizilcec, M Pérez-Sanagustín, JJ Maldonado - Computers & education, 2017 - Elsevier
Individuals with strong self-regulated learning (SRL) skills, characterized by the ability to
plan, manage and control their learning process, can learn faster and outperform those with …