Static analysis of programming exercises: Fairness,usefulness and a method for application

This article explores the suitability of static analysis techniques based on the abstract syntax tree (AST) for the automated assessment of early/mid degree level programming. Focus is on fairness, timeliness and consistency of grades and feedback. Following investigation into manual marking practises, including a survey of markers, the assessment of 97 student Java programming submissions is automated using static analysis rules. Initially, no correlation between human provided marks and rule violations is found. This paper investigates why, and considers several improvements to the approaches used for applying static analysis rules. New methods for application are explored and the resulting technique is applied to a second exercise with 95 submissions. The results show a stronger positive correlation with manual assessment, whilst retaining advantages in terms of time cost, pedagogic advantages and instant feedback. This study provides insight into the differences between human assessment and static analysis approaches and highlights several potential pitfalls of simplistic implementations. Finally, this paper concludes that static analysis approaches are appropriate for automated assessment; however, these approaches should be used with care.     

Speaking to read: The effects of speech recognition technology on the reading and spelling performance of children with learning disabilities

In recent literature on persons with learning disabilities (LD), speech recognition has been discussed primarily as an assistive technology to help compensate for writing difficulties. However, prior research by the authors has suggested that in addition to helping persons to compensate for poor writing skills, speech recognition also may enhance reading and spelling; that is, what was designed as assistive technology appears to serve remedial functions as well. The present study was conducted to determine whether elementary and secondary students with LD who used the technology to write self-selected compositions and class assignments would demonstrate improvements in reading and spelling. Thirty-nine students with LD (ages 9 to 18) participated. Nineteen participants used speech recognition 50 minutes a week for sixteen weeks, and twenty students in a control group received general computer instruction. Results indicated that the speech recognition group showed significantly more improvement than the control group in word recognition (p<.0001), spelling (p<.002) and reading comprehension (p<.01). Pre- and posttests on five reading-related cognitive processing measures (phonological, orthographic, semantic processing, metacognitive reading strategies, and working memory) indicated that for the experimental group, only phonological processing improved significantly over the treatment period when compared to controls (p<.04). Further ANCOVA suggested that growth in phonological processing was associated with significant differences among conditions for all three academic measures: word recognition, spelling, and reading comprehension. Address correspondence to 971 N. Altadena Drive, Pasadena, CA 91107. E-mail center@frostig.org.     

Software for calculating blood lactate endurance markers

Blood lactate markers are used as summary measures of the underlying model of an athlete's blood lactate response to increasing work rate. Exercise physiologists use these endurance markers, typically corresponding to a work rate in the region of high curvature in the lactate curve, to predict and compare endurance ability. A short theoretical background of the commonly used markers is given and algorithms provided for their calculation. To date, no free software exists that allows the sports scientist to calculate these markers. In this paper, software is introduced for precisely this purpose that will calculate a variety of lactate markers for an individual athlete, an athlete at different instants (e.g. across a season), and simultaneously for a squad.     

The Student Market

The Government has set targets for an expansion in student numbers by the year 2,000 at a time when there is a dramatic fall in the numbers of school leavers. Institutions of higher education need to create new markets for student recruitment, both among mature people and also among 18 year-olds, this latter implying a more realistic assessment of the ability of applicants to benefit from courses and a new approach to school leaving examinations. In order to maximise the exploitation of these markets, institutions must adopt a more serious attitude to admissions, treating them more as matters of policy rather than of administrative function. Unless higher education adopts aggressive marketing and selling practices it will lose out to employers in the competition for young people.     

Teachers' perspectives on competency-based testing

The study described in this article was designed to gather information about teachers' perspectives on achievement testing and to describe where the competency-based testing in Continuous Uniform Evaluation Systems (CUES) programs fits into teachers' overall plans for teaching and assessing students.The specific objectives of the research were (1) to develop a taxonomy of techniques that teachers use to assess students, (2) to describe teachers' uses and perceptions of various assessment techniques, and (3) to describe the implementation of various assessment activities in natural classroom settings. The results of the study have implications for the design and implementation of instructional systems in school settings.