Title
The Learning Grid and E-Assessment using Latent Semantic Analysis
Abstract
E-assessment is an important component of e-learning and e-qualification. Formative and summative assessment serves different purposes and both types of evaluation are critical to the pedagogical process. While students are studying, practicing, working, or revising, formative assessment provides direction, focus, and guidance. Summative assessment provides the means to evaluate a learner's achievement and communicate that achievement to interested parties. Latent Semantic Analysis (LSA) is a statistical method for inferring meaning from a text. Applications based on LSA exist that provide both summative and formative assessment of a learner's work. However, the huge computational needs are a major problem with this promising technique. This paper explains how LSA works, describes the breadth of existing applications using LSA, explains how LSA is particularly suited to e-assessment, and proposes research to exploit the potential computational power of the Grid to overcome one of LSA's drawbacks.
Year
Venue
Keywords
2005
Towards the Learning Grid
potential computational power,learning grid,huge computational need,formative assessment,major problem,interested party,summative assessment,inferring meaning,different purpose,latent semantic analysis,important component,grid,assessment,e assessment
Field
DocType
Volume
Data science,Computer science,Summative assessment,Exploit,Latent semantic analysis,E-assessment,Grid,Formative assessment
Conference
127
ISSN
ISBN
Citations 
0922-6389
1-58603-534-7
1
PageRank 
References 
Authors
0.35
9
5
Name
Order
Citations
PageRank
Debra Trusso Haley110.69
Pete Thomas221.08
Bashar Nuseibeh34201347.16
Josie Taylor49713.93
Paul Lefrere512519.35