This dissertation investigates the effects of two different grouping strategies on secondary students concerning their preparation for, and performance at, a computer programming contest. Students were divided into two groups, experimental and control, for a 3-week treatment, followed by the contest. Students in the experimental group became…

Considers how computing and composition combine for a new form of interdisciplinary learning and intramural cooperation. Offers a description of the analogous processes of problem solving and programming in an introductory computer science course and the writing process typically used in introductory English composition courses. (Author/LRW)

Using a computerized logic course employing the Carnegie Mellon Proof Tutor problem-solving environment, crucial features of computer environments were isolated and relative pedagogical effectiveness was assessed. Students used computerized environments to construct proofs and were presented with identical course materials on sentential logic. The…

A 32-item self-efficacy scale for computer programming was developed, primed to the C++ programming language. The scale was administered to 421 students at the beginning and end of an introductory course in C++ programming. There was growth in self-efficacy between two administrations of the scale 12 weeks apart, particularly for students who…

Group projects in computer science are normally delivered with reference to good software engineering practice. The discipline of software engineering is rapidly evolving, and the application of the latest 'agile techniques' to group projects causes a potential conflict with constraints imposed by regulating bodies on the computer science…

Laptops helped two faculty members adapt a highly challenging, critical computer science course to increasing enrollment. Among the course enhancements the technology made possible were daily quizzes, animation-based demonstrations and exercises, and more authentic assessment. (Contains 2 tables.)

When dealing with a complex problem, solving it by reduction to simpler problems, or problems for which the solution is already known, is a common method in mathematics and other scientific disciplines, as in computer science and, specifically, in the field of computability. However, when teaching computational models (as part of computability)…

In Technology Enhanced Learning Environments, self-regulated learning (SRL) partly relies on the features of the technological tools. The authors present two environments they designed in order to facilitate SRL: the first one (e-Dalgo) is a website dedicated to the learning of algorithms and computer programming. It is structured as a classical…

Workload has been found to be a major course-related factor that affects student dropout rates. A heavy workload combined with a lack of time can create problems for students with courses that, by their very nature, require extensive work outside of class time. One such course is the second-semester programming course at Illinois State University…

Many have had high expectations for the impact of computer-based technology on educational practice. By and large, these expectations have not been realised. It has become evident that innovative technology alone does not necessarily guarantee progress--nor perhaps even significant change--in educational practice. This has led educational…

Describes how to construct questions to test all cognitive levels of learning for a course in introductory programming. The framework for learning is based on Bloom's taxonomy. Practical advice is given through examples and by describing a computer system to help deliver quizzes. Includes example questions. (Author/AEF)

Interviewed 12 computer studies faculty in Hong Kong about their perspectives on teaching computer programming; organized data into themes. Concluded that teachers rely on a "mind as container" understanding of knowledge and learning that would be better replaced with a connectionist view of the mind. (EV)

The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability…

The purpose of this study was to determine if a case-based reasoning tool would improve a student's understanding of the complex concepts in a Java programming course. Subjects for the study were randomly assigned from two sections of an introductory Java programming course. Posttests were used to measure the effects of the case-based reasoning…

Modern information technology and computer science curricula employ a variety of graphical tools and development environments to facilitate student learning of introductory programming concepts and techniques. While the provision of interactive features and the use of visualization can enhance students' understanding and assist them in grasping…