Computing science students amass years of programming experience and a wealth of factual knowledge in their undergraduate courses. Based on our combined years of experience, however, one of our students' abiding shortcomings is that they think there is only "one correct answer" to issues in most courses: an "idealistic"…

There has been a steady decline of majors in the disciplines of science, technology, engineering, and mathematics ("STEM majors"). In an effort to improve recruitment and retention in "STEM" majors, an active-learning methodology--"peer-led team learning" ("PLTL")--was implemented by the participating…

Computer science not only displays the pattern of underrepresentation of many other science, technology, engineering, and math (STEM) fields, but has actually experienced a "decline" in the number of women choosing the field over the past two decades. Broken out by gender and race, the picture becomes more nuanced, with the ratio of…

This paper updates the efforts to educate blind students in higher education in the digital age and describes how to support the development of mental models in learning through tactile learning and 3D-printing technology. It cites research documenting a drop in Braille literacy along with the growth in use of digital technologies by blind…

Collaboration (GDMC), an informal education program in 3D computer modeling and 2D interactive game design serving primarily African American youth aged 7 to 19 years in the Washington, D.C. metro area, transformed from a program designed and taught by adults to one designed and taught by youth. In Year 1, 8% of youth participants held a…

This paper reports on a study of systems analysis textbooks in terms of topics covered and academic background of the authors. It addresses the consistency within IS curricula with respect to the content of a systems analysis and design course using the object-oriented approach. The research questions addressed were 1: Is there a consistency among…

No individual subject area in IS 2002 impacts more aspects of computing theory or professional preparation than data modeling. For more than four decades the bedrock of data modeling has been the relational data model. There are numerous extensions, variations and implementations of this theory but its core remains the central anchor in the…

Operating system is the core course of the specialty of computer science and technology. To understand and master the operating system will directly affect students' further study on other courses. The course of operating system focuses more on theories. Its contents are more abstract and the knowledge system is more complicated. Therefore,…

As the Internet moves towards a three-layer architecture consisting of overlay networks on top of the IP network layer on top of WDM-based physical networks, incorporating the interaction between and among network layers is crucial for efficient and effective implementation of survivability. This dissertation has four major foci as follows:…

Research in the field of Automated Planning is largely focused on the problem of constructing plans or sequences of actions for going from a specific initial state to a goal state. The complexity of this task makes it desirable to find "generalized" plans which can solve multiple problem instances from a class of similar problems. Most approaches…

Greenfoot is an educational integrated development environment aimed at learning and teaching programming. It is aimed at a target audience of students from about 14 years old upwards, and is also suitable for college- and university-level education. Greenfoot combines graphical, interactive output with programming in Java, a standard, text-based…

The role of mental representations in mathematics and computer science (for teaching or research) is often downplayed or even completely ignored. Using an ongoing work on the subject, we argue for a more systematic study and use of mental representations, to get an intuition of mathematical concepts, and also to understand and build proofs. We…

Reduction is a central ingredient of computational thinking, and an important tool in algorithm design, in computability theory, and in complexity theory. Reduction has been recognized to be a difficult topic for students to learn. Previous studies on teaching reduction have concentrated on its use in special courses on the theory of computing. As…

Learning to debug is a difficult, yet essential, aspect of learning to program. Students in this multi-institutional study report that finding bugs is harder than fixing them. They use a wide variety of debugging strategies, some of them unexpected. Time spent on understanding the problem can be effective. Pattern matching, particularly at the…

Many factors influence education nowadays. Educational institutions are faced with budget cuttings, outdated IT, data security management and the willingness to integrate remote learning at home. Virtualization technologies provide innovative solutions to the problems. The paper presents an original educational infrastructure using virtualization…