In this paper, we review tutoring approaches of computer-supported systems for learning
programming. From the survey we have learned three lessons. First, various AI-supported …

In programming problem solving activities, sometimes, students need feedback to progress
in the course, being positively affected by the received feedback. This paper presents an …

This paper introduces Crescendo, a self-paced programming practice environment that
combines the block-based and visual, interactive programming of Snap!, with the structured …

Programming environments such as Snap, Scratch, and Processing engage learners by
allowing them to create programming artifacts such as apps and games, with visual and …

We propose an associative mechanism for adaptive generation of problems in intelligent
tutors. Our evaluations of the tutors that use associative adaptation for problem sequencing …

When researchers of the AIEDCS (AI-supported Education for Computer Science)
community want to exchange programming exercises as baselines for eg, evaluation …

A controlled study was conducted to evaluate the effectiveness of providing visualization as
part of feedback in a problem-solving software tutor on arithmetic expression evaluation …

We have been using the concept map of the domain, enhanced with pedagogical concepts
called learning objectives, as the overlay student model in our intelligent tutors for …

This workshop will help participants introduce problem-solving exercises into their
introductory C++/Java/C# programming courses. The purpose of problem-solving exercises …

For decades computing educators have been trying to identify and predict at-risk students,
particularly early in the first programming course. These efforts range from the analyzing …