Towards automated assessment of engineering assignments

Quah, Jon T.S.; Lim, Luo-Ren; Budi, Hendri; Lua, Kim-Teng

doi:10.1109/ijcnn.2009.5178782

Cited by 4 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, studies covering automatic essay scoring in engineering subjects are limited (to the best of our knowledge), though not inexistent. In Quah et al (2009), for instance, the authors use a Support Vector Machine to build a prototype system, which is able to evaluate equations and short answers. The system extracts textual and mathematical data from input files in the form of distinct words for text and for mathematical equations using equation trees based on MathTree format.…”

Section: E-learning Assessment Platformsmentioning

confidence: 99%

Automatic evaluation for e-learning using latent semantic analysis: A use case

Farrús

Costa-jussà

2013

IRRODL

View full text Add to dashboard Cite

Assessment in education allows for obtaining, organizing, and presenting information about how much and how well the student is learning. The current paper aims at analysing and discussing some of the most state-of-the-art assessment systems in education. Later, this work presents a specific use case developed for the Universitat Oberta de Catalunya, which is an online university. An automatic evaluation tool is proposed that allows the student to evaluate himself anytime and receive instant feedback. This tool is a web-based platform, and it has been designed for engineering subjects (i.e., with math symbols and formulas) in Catalan and Spanish. Particularly, the technique used for automatic assessment is latent semantic analysis. Although the experimental framework from the use case is quite challenging, results are promising.

show abstract

Section: E-learning Assessment Platformsmentioning

confidence: 99%