Special Issue on “Learning Analytics and Evidence-Informed Education”

 

Guest Editors:

Rwitajit Majumdar (Kumamoto University, Japan)
Hiroaki Ogata (Kyoto University, Japan)
Ting-Chia Hsu (National Taiwan National University, Taiwan)
Gökhan Akçapınar (Hacettepe University, Turkey)
Ramkumar Rajendran (IIT Bombay, India)

 

Special Issue Articles:

 

Article 1

Designing data-informed support for building learning habits in the Japanese K12 context

Chia-Yu Hsu, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar and Hiroaki Ogata

 

Article 2

Exploring tthe relationship between habitual-voluminous book reading and writing performance among third-grade students: a correlation analysis

Melissa Mustika, Kannan Nataraj, Charles Y. C. Yeh and Tak-Wai Chan

 

Article 3

Integrating self-explanation and operational data for impasse detection in mathematical learning

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami and Hiroaki Ogata

 

Article 4

A review of main issues regarding validity, reliability, generalizability, transferability, and applicability of log-based measurement of computer-assisted learning

Arnon Hershkovitz and Giora Alexandron

 

Article 5

Self-directed extensive reading with social support: effect on reading and learning performance of high and low English proficiency students

Huiyong Li, Rwitajit Majumdar and Hiroaki Ogata

 

Article 6

The transition patterns of learners’ behavior and the association with motivation and cognitive engagement in online learning

Jingwen He, Zilu Jiang, Zilong Pan, Qiwei Men and Kui Xie

 

Article 7

Explainable eBook recommendation for extensive reading in K-12 EFL learning

Kensuke Takii, Brendan Flanagan, Huiyong Li, Yuanyuan Yang, Kento Koike and Hiroaki Ogata