Welcome to the InfoSci Platform
Reference Hub2
A New Web-Based Personalized Learning System Improves Student Learning Outcomes

A New Web-Based Personalized Learning System Improves Student Learning Outcomes

Vicente Sancenon, Kharisma Wijaya, Xavier Yue Shu Wen, Diaz Adi Utama, Mark Ashworth, Kelvin Hongrui Ng, Alicia Cheong, Zhizhong Neo
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 21
ISSN: 1947-8518|EISSN: 1947-8526|EISBN13: 9781683181279|DOI: 10.4018/IJVPLE.295306
Cite Article Cite Article

MLA

Sancenon, Vicente, et al. "A New Web-Based Personalized Learning System Improves Student Learning Outcomes." IJVPLE vol.12, no.1 2022: pp.1-21. http://doi.org/10.4018/IJVPLE.295306

APA

Sancenon, V., Wijaya, K., Wen, X. Y., Utama, D. A., Ashworth, M., Ng, K. H., Cheong, A., & Neo, Z. (2022). A New Web-Based Personalized Learning System Improves Student Learning Outcomes. International Journal of Virtual and Personal Learning Environments (IJVPLE), 12(1), 1-21. http://doi.org/10.4018/IJVPLE.295306

Chicago

Sancenon, Vicente, et al. "A New Web-Based Personalized Learning System Improves Student Learning Outcomes," International Journal of Virtual and Personal Learning Environments (IJVPLE) 12, no.1: 1-21. http://doi.org/10.4018/IJVPLE.295306

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Although there is increasing acceptance that personalization improves learning outcomes, there is still limited experimental evidence supporting this claim. The aim of this study was to implement and evaluate the effectiveness of an adaptive recommendation system for Singapore primary and secondary education. The system leverages users trace data and learning analytics to generate assessment worksheets customized to individual learner’s proficiency. Analysis of online data is used to measure students’ skill levels in specific knowledge domains and monitor their progress. Notably, online measurements correlate positively with offline academic outcomes. A randomized controlled trial conducted on forty-three primary school students revealed statistically significant improvement on academic performance of a group of students receiving personalized content over a control group using non-adaptive material. The authors conclude that the reported recommender system successfully helps students improve their academic achievements.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.