GPNN techniques in learning assessment systems | Zendy

John Vrettaros | Zendy; John Pavlopoulos | Zendy; Athanasios Drigas | Zendy; K. Hrissagis | Zendy

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GPNN techniques in learning assessment systems

Author(s) -

John Vrettaros,

John Pavlopoulos,

Athanasios Drigas,

K. Hrissagis

Publication year - 2011

Publication title -

international journal of technology enhanced learning

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.308

H-Index - 20

eISSN - 1753-5263

pISSN - 1753-5255

DOI - 10.1504/ijtel.2011.041284

Subject(s) - computer science , machine learning , artificial neural network , artificial intelligence , genetic programming , training set , data science

The goal of this study is the development of an assessment system with the support of a neural network approach optimised with the use of genetic programming. The data used as training data are real data derived from an educational project. The developed system is able to assess learners' answers through various criteria and has been proved capable of assessing data from both single select and multiple choice questions in an e-learning environment.

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