|
1-10 of 78 reviews |
Date Reviewed | |
|
Identifying important and difficult concepts in introductory computing courses using a Delphi process Goldman K., Gross P., Heeren C., Herman G., Kaczmarczyk L., Loui M., Zilles C. ACM SIGCSE Bulletin 40(1): 256-260, 2008. Type: Article
A concept inventory (CI) is a measurement tool designed to evaluate student understanding of a particular topic or field. This paper discusses research in computer science (CS) education targeted at the formulation of a CI for 10 to 15...
|
Sep 25 2008 |
|
|
A model for high school computer science education: the four key elements that make it! Hazzan O., Gal-Ezer J., Blum L. ACM SIGCSE Bulletin 40(1): 281-285, 2008. Type: Article
When it comes to education, is the curriculum all that matters? Hazzan et al. emphasize that the success of Israeli high school computer science (CS) education is due to “more than just the curriculum itself.” They ...
|
Jun 18 2008 |
|
|
Automated tutoring for a database skills training environment Kenny C., Pahl C. ACM SIGCSE Bulletin 37(1): 58-62, 2005. Type: Article
This interesting paper reports on a tutoring system designed to help undergraduate students taking a database course that uses structured query language (SQL) for query operations. The major thrust of the automated tutoring system is t...
|
May 12 2005 |
|
|
Influences on cheating practice of graduate students in IT courses: what are the factors? Sheard J., Dick M. ACM SIGCSE Bulletin 35(3): 45-49, 2003. Type: Article
Sheard and Dick attempt to address the dearth of quality research related directly to the factors influencing cheating within the graduate information technology student body. Through this research, the authors attempt to identify not ...
|
Jul 15 2004 |
|
|
Integrating a simulation-visualisation environment in a basic distributed systems course: a case study using LYDIAN Koldehofe B., Papatriantafilou M., Tsigas P. ACM SIGCSE Bulletin 35(3): 35-39, 2003. Type: Article
The authors attempt to explain how students and teachers used a simulation-visualization environment in a distributed systems course. Since hands-on experience is the most effective way to learn computing skills, the approach given in ...
|
Mar 24 2004 |
|
|
Incorporating quality assurance processes into requirements analysis education Moody D., Sindre G. ACM SIGCSE Bulletin 35(3): 74-78, 2003. Type: Article
The premise of this paper is that introducing quality assurance (QA) processes into undergraduate classes on software requirements analysis will improve the resulting product, and with this, there can be no argument. The authors develo...
|
Mar 2 2004 |
|
|
Equilibriating instructional media for cognitive styles Redmond J., Walsh C., Parkinson A. ACM SIGCSE Bulletin 35(3): 55-59, 2003. Type: Article
The authors describe studies conducted to explore the effectiveness of structuring and presenting instructional information in ways that will accommodate learners with different cognitive styles. The studies were conducted with a group...
|
Feb 18 2004 |
|
|
Experimenting with pair programming in the classroom McDowell C., Hanks B., Werner L. ACM SIGCSE Bulletin 35(3): 60-64, 2003. Type: Article
An experiment that uses the paired programming approach to teach beginning and advanced programming courses is discussed in this paper. Paired programming is an approach advocated by the extreme programming process [1], where a pair of...
|
Feb 10 2004 |
|
|
Systematic testing should not be a topic in the computer science curriculum! Christensen H. ACM SIGCSE Bulletin 35(3): 7-10, 2003. Type: Article
Christensen deliberately chose a provocative and somewhat misleading title for this short paper. His point is that testing should be taught throughout the curriculum, as an integrated part of the core knowledge of computer science, rat...
|
Feb 5 2004 |
|
|
Scientific investigation in a breadth-first approach to introductory computer science Moore T. ACM SIGCSE Bulletin 25(1): 63-67, 1993. Type: Article
It is well known that many (probably most) students who come to university to study computer science arrive believing that computer science and programming are coextensive. Too often first (and sometimes second and third and so on) cou...
|
Nov 1 1994 |
|
|
|
|
|
|
|
|