To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not…

Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…

Recursion is one of the most important and hardest topics in lower division computer science courses. As it is an advanced programming skill, the best way to learn it is through targeted practice exercises. But the best practice problems are time consuming to manually grade by an instructor. As a consequence, students historically have completed…

Describes a visual tutoring system for programming distributive-memory multiprocessor networks. Highlights include difficulties of parallel programming, and three instructional modes in the system, including a hypertext-like lecture, a question-answer mode, and an expert aid mode. (Author/LRW)

At the beginning of a Java computer programming course, nine students in an undergraduate class and nine students in a graduate class completed a web-based programmed instruction tutoring system that taught a simple computer program. All students exited the tutor with an identical level of skill, at least as determined by the tutor's required…

Two experiments involved an intelligent tutoring system for the Carnegie Mellon University Lisp Tutor using production system theories of transfer and analogical problem solving. Results suggested that acquisition of cognitive skills is facilitated by high degrees of metacognition, which includes higher level monitoring of states of knowledge,…

Provides a classification, review, and critical analysis of instructional systems available on the Web that can be used by students to learn programming. Reviews drill and practice systems, tutorial systems, and simulation systems and analyzes them according to established standards for instructional design. (Author/LRW)

Four experiments supported the hypothesis that, when learning to use equipment such as computers, if the material to be learned has an intrinsically high degree of interaction between elements, then learning might be facilitated by not having the equipment present. Thus, an analysis of intrinsic and extraneous cognitive load can lead to…