SPREAD: A Distributed Simulation Toolkit

This article describes “SPREAD”, a simulation toolkit, and its use in building “Virtual Robots”, a simulation of multiple mobile robot vehicles used in the teaching of computer science at university level. A novel aspect of the simulator is the use of PVM (Parallel Virtual Machine) to achieve high performance at low cost by using spare CPU cycles on large numbers of networked workstations.     

Integrating Software Analysis,Testing, and Verification into the Undergraduate Computer Science Curriculum

Software analysis, testing, and verification (ATV) is a major activity in the real world of software development, yet it remains underemphasized in the undergraduate computer science curriculum at most colleges and universities. This paper discusses the importance of software ATV and its relationship to other subject areas in computer science. Concepts, terminology, and techniques from software ATV are presented, and examples are given to show how they may be integrated into the undergraduate computer science curriculum.     

Assessment of attention in school children: teachers' ratings related to tests of attention

The paper provides (1) a teacher-administered rating instrument for inattention without confounding the rating with hyperactivity and conduct disorder, and (2) evidence that the ratings correlate with the scores obtained from cognitive tests of attention. In Study I, the first objective was to investigate the construct validity and the inter-rater reliability of the Attention Checklist (ACL) by factor analysing the teacher ratings of 110 Grade 4 children, obtained by using the ACL. The second objective was to investigate the predictive validity of the ACL by examining the relationship between the scores obtained for the participants from teachers' ratings using the ACL and the scores obtained by participants in the lab-type attention tests. The results of factor analysis showed that a single factor labelled ‘inattention’ underlies the 12 items in the ACL. Examining the differences in performance on attention tests, the ‘low attention’ children as rated by the teachers on the ACL scored lower than the ‘high attention’ children on the objective tests of attention. These findings were replicated in Study II, which was conducted to test further the construct validity and predictive validity of the ACL. This time, only those two tests (Auditory Attention and Visual Attention) that had shown relatively poor discrimination between the high and low attention groups in Study I were, again, administered to another cohort of 97 Grade 4 children, as it was our intention to further challenge the reliability of the ACL. Overall, the results of both studies suggest that comprehensive assessment of attention skills should include both ACL and objective measures of selective attention.     

CHRISTIANS AND JEWS

This is the first of two articles on the moral situation. Dr. Hofmann provides here a survey of opinion in favor of moral education     

Application of the Levenshtein Distance Metric for the Construction of Longitudinal Data Files

The analysis of longitudinal data in education is becoming more prevalent given the nature of testing systems constructed for No Child Left Behind Act (NCLB). However, constructing the longitudinal data files remains a significant challenge. Students move into new schools, but in many cases the unique identifiers (ID) that should remain constant for each student change. As a result, different students frequently share the same ID, and merging records for an ID that is erroneously assigned to different students clearly becomes problematic. In small data sets, quality assurance of the merge can proceed through human reviews of the data to ensure all merged records are properly joined. However, in data sets with hundreds of thousands of cases, quality assurance via human review is impossible. While the record linkage literature has many applications in other disciplines, the educational measurement literature lacks details of formal protocols that can be used for quality assurance procedures for longitudinal data files. This article presents an empirical quality assurance procedure that may be used to verify the integrity of the merges performed for longitudinal analysis. We also discuss possible extensions that would permit merges to occur even when unique identifiers are not available.