This Research To Practice Full Paper presents how learning experience influences students'
capability to learn and their motivation for further learning. Although each student is different …

Adaptive learning systems collect data on student performance and use them to personalize
system behavior. Most current personalization techniques focus on the correctness of …

Student models are typically evaluated through predicting the correctness of the next
answer. This approach is insufficient in the problem-solving context, especially for student …

Additive Factors Model is a widely used student model, which is primarily used for refining
knowledge component models (Q-matrices). We explore the robustness and generalizability …

This work presents an experimental analysis of first-grade students' block-based
programming trajectories. These trajectories consist of edit-level program snapshots that …

This dissertation evaluates the implementation of the Adaptive Learning Platform (ALP)
Rhapsode TM (hereinafter referred to as Rhapsode) within the Danish nursing education at …

This study examines the implementation of adaptive assessment in CodeChum, a platform
for personalized programming education, using the Multilayer Perceptron (MLP) Machine …

In many instances, programming education is non-personalized and has left so many
learners without much interest or not being proficient enough to reach the programming …

Coding is a key activity in the software development process and a programmer's
programming ability determines the software quality. Different from professional …

Educational data mining (EDM) field has grown and matured. The ability of learning
environments to provide meaningful improvement of student learning experience and …