Active learning with online video: The impact of learning context on engagement

K Seo, S Dodson, NM Harandi, N Roberson, S Fels… - Computers & …, 2021 - Elsevier
Learning with online video is pervasive in higher education. Recent research has explored
the importance of student engagement when learning with video in online and blended …

Improving online video lectures: learning challenges created by media

C Lange, J Costley - International Journal of Educational Technology in …, 2020 - Springer
The use of media within online university courses has been shown to aid the learning
process with the delivery of information through various formats. However, issues that inhibit …

Taking action to reduce dropout in MOOCs: Tested interventions

I Borrella, S Caballero-Caballero, E Ponce-Cueto - Computers & Education, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) have democratized access to higher
education, but low entry and exit barriers make dropout rates in these courses much higher …

Predictive learning analytics using deep learning model in MOOCs' courses videos

AA Mubarak, H Cao, SAM Ahmed - Education and Information …, 2021 - Springer
Abstract Analysis of learning behavior of MOOC enthusiasts has become a posed challenge
in the Learning Analytics field, which is especially related to video lecture data, since most …

Accessing online learning material: Quantitative behavior patterns and their effects on motivation and learning performance

LY Li, CC Tsai - Computers & Education, 2017 - Elsevier
Accessing learning materials, that is, lecture slides, video lectures, shared assignments, and
forum messages, is the most frequently performed online learning activity. However …

Learning is not a spectator sport: Doing is better than watching for learning from a MOOC

KR Koedinger, J Kim, JZ Jia, EA McLaughlin… - Proceedings of the …, 2015 - dl.acm.org
The printing press long ago and the computer today have made widespread access to
information possible. Learning theorists have suggested, however, that mere information is a …

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 …

Designing and developing video lessons for online learning: A seven-principle model.

C Ou, DA Joyner, AK Goel - Online Learning, 2019 - ERIC
Despite the ubiquitous use of instructional videos in both formal and informal learning
settings, questions remain largely unanswered on how to design and develop video lessons …

The role of metacognition in promoting deep learning in MOOCs during COVID-19 pandemic

MYH Elbyaly, AIM Elfeky - PeerJ Computer Science, 2022 - peerj.com
In many nations affected by the COVID-19 pandemic, the situation in higher education
institutions has changed. During the pandemic, these institutions have introduced numerous …

Deep model for dropout prediction in MOOCs

W Wang, H Yu, C Miao - … of the 2nd international conference on crowd …, 2017 - dl.acm.org
Dropout prediction research in MOOCs aims to predict whether students will drop out from
the courses instead of completing them. Due to the high dropout rates in current MOOCs …