E-Assessment using Latent Semantic Analysis

Debra Haley (1) , Pete Thomas (1) , Bashar Nuseibeh (1) , Josie Taylor (2) , Paul Lefrere (2)

1 OU - The Open University [Milton Keynes]
2 IET - Institute of Educational Technology [Milton Keynes]

E-assessment is an important component of e-learning and e-qualification. Formative and summative assessment serve 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 he Grid to overcome one of LSA's drawbacks.

Mots clés: learning grids; grid technologies; latent semantic analysis (LSA); e-assessment

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Debra Haley, Pete Thomas, Bashar Nuseibeh, Josie Taylor, Paul Lefrere. E-Assessment using Latent Semantic Analysis. 3rd International LeGE-WG Workshop: GRID Infrastructure to Support Future Technology Enhanced Learning, Berlin, Germany. 3 December, 2003, 2003, Berlin, Germany. pp.4. ⟨hal-00190471⟩