Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities
By Huong May Truong. Computers in Human Behavior, 2016
483 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/c67af52e4f7988c91f961a6948f98b1280738270
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Science Applications
In Developmental and Educational Psychology
- Atikah Shemshack
- Katharina Galuschka
- Stefan Haberstroh
- Gerd Schulte-Körne
- Ruth Görgen
- Julia Kalmar
- Adrian von Mühlenen
- J. Spector
Citations in the corpus
- Effectiveness of spelling interventions for learners with dyslexia: A meta-analysis and systematic review (2020, background): “Second, algorithms can enable the implementation of specialized instructions and adaptive content in computerized interventions (Truong, 2016).”
- Learning in virtual reality: Effects on performance, emotion and engagement (2018, background): “The impact of learning styles on e-learning is also debated (Truong 2016), including how best to design adaptive virtual learning environments whilst considering learning styles (Kanninen 2008).”
- A systematic literature review of personalized learning terms (2020, background): “Truong (2016) stated that providing the same content to students with different qualifications and personal traits and having different interests and needs is not Fig.”