There is a consensus that serious games have a significant potential as a tool for instruction.
However, their effectiveness in terms of learning outcomes is still understudied mainly due to …

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced
computing technologies, AI performance prediction model is widely used to identify at-risk …

Student performance, student progress and student potential are critical for measuring
learning results, selecting learning materials and learning activities. However, existing work …

This article describes the evolution and current state of the domain-independent Siette
assessment environment. Siette supports different assessment methods—including classical …

This meta-analysis study synthesizing the results of experimental and quasi experimental
studies examined the effects of self-assessment interventions on student academic …

In this paper, we present a blended e-learning experience consisting of supplying an
undergraduate student population (in addition to traditional on-site classes) with a learning …

Traditionally, the task difficulty level is often determined by domain experts based on some
hand-crafted rules. However, with the adoption of Massive Open Online Courses (MOOCs) …

Adaptive systems refer to autonomous interactive systems that adjust their behavior and
functionality to environmental changes. In e-learning context, adaptive e-learning systems …

Accurately assessing task difficulty is a critical aspect to achieve adaptation in computer-
based educational systems. In real-world scenarios, task difficulty estimation can be …

Introductory Engineering Mathematics (a skill builder for engineers) involves developing
problem-solving attributes throughout the teaching period. Therefore, the prediction of …