We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure ("AssignSim"). Our experiments…

A framework for examining the effectiveness of different types of educational computing environments addresses the conceptual characteristics of the knowledge domain being learned and the learner's stage of knowledge. Characteristics of certain technology-based learning environments (computer-based drill, intelligent tutoring systems, hypertext)…