Meta‐analysis examining the effects of electronic storybooks on language and literacy outcomes for children in grades Pre‐K to grade 2
M Savva, S Higgins, N Beckmann - Journal of Computer …, 2022 - Wiley Online Library
Background The array of availability of diverse digital reading applications, the mixed results
emerging from small‐scale experimental studies, as well as the long‐standing tradition and …
emerging from small‐scale experimental studies, as well as the long‐standing tradition and …
Analysing Students' Cognitive Engagement in E-Learning Discussion Forums through Content Analysis.
Discussion forums provide students with accessible platforms for group discussions in e-
learning environments. They also help lecturers to track and check student discussions. To …
learning environments. They also help lecturers to track and check student discussions. To …
[PDF][PDF] Recent advances in intelligent textbooks for better learning
B Jiang, M Gu, Y Du - Learning: Designing the Future, 2023 - library.oapen.org
Intelligent textbooks embed digital textbooks with intelligent tutoring technologies to provide
intelligent reading support to students. Intelligent textbooks not only provide interactions that …
intelligent reading support to students. Intelligent textbooks not only provide interactions that …
Learning anytime, anywhere: a spatio-temporal analysis for online learning
X Du, M Zhang, BE Shelton, JL Hung - Interactive Learning …, 2022 - Taylor & Francis
The study proposes two new measures, time and location entropy, to depict students'
physical spatio-temporal contexts when engaged in an online course. As anytime, anywhere …
physical spatio-temporal contexts when engaged in an online course. As anytime, anywhere …
A learning analytics framework based on human-centered artificial intelligence for identifying the optimal learning strategy to intervene in learning behavior
Big data in education promotes access to the analysis of learning behavior, yielding many
valuable analysis results. However, with obscure and insufficient guidelines commonly …
valuable analysis results. However, with obscure and insufficient guidelines commonly …
Using fair AI to predict students' math learning outcomes in an online platform
As instruction shifts away from traditional approaches, online learning has grown in
popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics …
popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics …
Educational big data: extracting meaning from data for smart education
Contemporary education, at all levels, is unbounded by time and space and learning can
occur both in physical and virtual environments and with the assistance of countless …
occur both in physical and virtual environments and with the assistance of countless …
A result confirmation-based learning behavior analysis framework for exploring the hidden reasons behind patterns and strategies
Educational data mining and learning analytics have become a very important topic in the
field of education technology. Many frameworks have been proposed for learning analytics …
field of education technology. Many frameworks have been proposed for learning analytics …
A Systematic Review of Research on E-Book-Based Language Learning.
This study presents a systematic review of previous research on ebook-based language
learning. E-book-based language learning has been increasingly investigated in the field of …
learning. E-book-based language learning has been increasingly investigated in the field of …
Automated text detection from big data scene videos in higher education: a practical approach for MOOCs case study
M Manasa Devi, M Seetha… - Journal of Computing in …, 2021 - Springer
Automated text detection and analysis holds incredible potential for research in higher
education. It is challenging because higher education institutes produce an enormous …
education. It is challenging because higher education institutes produce an enormous …