Certain misunderstandings in science, mathematics, and computer programing reflect analogous underlying difficulties. These misunderstandings are examined through four knowledge levels: (1) content; (2) problem-solving; (3) epistemic; and (4) inquiry. Analysis of several examples shows that misunderstandings have causes at multiple levels, and…

This study examined the effectiveness of a metacourse consisting of eight lessons interspersed over a semester-long beginning course in BASIC and aimed at providing mental models, problem-solving strategies, key concepts, and other heuristic structures. The experimental group consisted of 6 teachers who taught 9 classes of a total of 132 high…

This report describes an in-depth analysis of the errors made by users of SOLO, a programming language written for Open University students studying cognitive psychology. The study was designed to (1) determine the effectiveness of SOLO's current error-handling routines by evaluating how often SOLO produced "sensible" messages or…

An overall schema of interpretation for programming instructors is given, so that the misconceptions students develop in programming can be determined more readily. Types of language-independent and -dependent bugs, how they can be identified, and how to help students overcome them are addressed. (MNS)

Argues that a computer-based programming tutor for novice programmers needs to take into account not only the types and frequency of bugs found in the programs, but the intentions and knowledge state of the programmer. A first version of such a program was developed on the basis of the bug types found in a number of pencil-and-paper studies with…

This report describes PROUST, a computer-based system for online analyses and understanding of PASCAL programs written by novice programmers, which takes as input a program and a non-algorithmic description of the program requirements and finds the most likely mapping between the requirements and the code. Both the theory and processing techniques…