Automated tutoring systems offer the flexibility and scalability necessary to facilitate the
provision of high-quality and universally accessible programming education. To realise the …

Abstract The field of Artificial Intelligence in Education (AIED) focuses on the intersection of
technology, education, and psychology, placing a strong emphasis on supporting learners' …

This paper reviews the research on adaptive serious games for programming regarding the
implementation of their support systems. Serious games are designed to educate players in …

In this paper, we demonstrate a first-of-its-kind adaptive intervention in a MOOC utilizing real-
time clickstream data and a novel machine learned model of behavior. We detail how we …

Formative feedback is essential for learning computer programming but is also a challenge
to automate because of the many solutions a programming exercise can have. Whilst …

Autograding systems are being increasingly deployed to meet the challenges of teaching
programming at scale. Studies show that formative feedback can greatly help novices learn …

Novice programmers often struggle on assignments, and timely help, such as a hint on what
to do next, can help students continue to progress and learn, rather than giving up. However …

Within intelligent tutoring systems, considerable research has investigated hints, including
how to generate data-driven hints, what hint content to present, and when to provide hints for …

Block-based programing languages (BBPL) provide effective scaffolding for K-12 students to
learn computational thinking. However, the output-based assessment in BBPL learning is …

Feedback on how students progress through completing subgoals can improve students'
learning and motivation in programming. Detecting subgoal completion is a challenging …