Information Discovery and Delivery: Volume 47 Issue 2

Guest editorial

Xu Du, Jui-Long Hung, Chih-Hsiung Tu

Estimating student ability and problem difficulty using item response theory (IRT) and TrueSkill

Youngjin Lee

The purpose of this paper is to investigate an efficient means of estimating the ability of students solving problems in the computer-based learning environment.

Improving the prediction accuracy in blended learning environment using synthetic minority oversampling technique

Gabrijela Dimic, Dejan Rancic, Nemanja Macek, Petar Spalevic, Vida Drasute

This paper aims to deal with the previously unknown prediction accuracy of students’ activity pattern in a blended learning environment.

Supportive campuses and first-generations-student learning outcomes

Brian Wright

The purpose of this paper is to analyze the relationship between supportive campus measures and student learning outcomes for first-generation students and non-first generation…

Efficient computation of key performance indicators in a distance learning university

Riccardo Pecori, Vincenzo Suraci, Pietro Ducange

Managing efficiently educational Big Data, produced by Virtual Learning Environments, is becoming a compelling necessity, especially for those universities providing distance…

Discovering disciplinary differences: blending data sources to explore the student online behaviors in a University English course

Dennis Foung, Julia Chen

This study aims to explore disciplinary differences in completing blended learning tasks in an academic literacy course and the feasibility of adopting a blended learning…