Demystifying Learning Analytics in Personalised Learning

• Main Authors: Maseleno, Andino, Sabani, Noraisikin, Huda, Miftachul, Ahmad, Roslee, Jasmi, Kamarul Azmi, Basiron, Bushrah
• Format: Article
• Language: English
• Published: Science Publishing Corporation 2018
• Subjects: L Education (General); LB Theory and practice of education; LB1603 Secondary Education. High schools; T Technology (General); T58.5-58.64 Information technology
• Online Access: http://eprints.utm.my/id/eprint/77688/1/AndinoMaseleno2018_DemystifyingLearningAnalyticsinPersonalisedLearning.pdf; http://eprints.utm.my/id/eprint/77688/

This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is defined as a way to measure, collect, analyse and report dat...