The impact of genetic programming in education

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dc.contributor.author Pillay, Nelishia
dc.date.accessioned 2020-02-06T09:50:03Z
dc.date.issued 2020-06
dc.description.abstract Since its inception genetic programming, and later variations such as grammar-based genetic programming and grammatical evolution, have contributed to various domains such as classification, image processing, search-based software engineering, amongst others. This paper examines the role that genetic programming has played in education. The paper firstly provides an overview of the impact that genetic programming has had in teaching and learning. The use of genetic programming in intelligent tutoring systems, predicting student performance and designing learning environments is examined. A critical analysis of genetic programming in education is provided. The paper then examines future directions of research and challenges in the application of genetic programming in education. en_ZA
dc.description.department Computer Science en_ZA
dc.description.embargo 2020-07-26
dc.description.librarian hj2020 en_ZA
dc.description.uri http://link.springer.com/journal/10710 en_ZA
dc.identifier.citation Pillay, N. The impact of genetic programming in education. Genetic Programming and Evolvable Machines 21, 87–97 (2020). https://doi.org/10.1007/s10710-019-09362-4. en_ZA
dc.identifier.issn 1389-2576 (print)
dc.identifier.issn 1573-7632 (online)
dc.identifier.other 10.1007/s10710-019-09362-4
dc.identifier.uri http://hdl.handle.net/2263/73126
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © Springer Science+Business Media New York 2019. The original publication is available at : http://link.springer.comjournal/10710. en_ZA
dc.subject Learning analytics en_ZA
dc.subject Pedagogical agents en_ZA
dc.subject Intelligent tutoring systems en_ZA
dc.subject Education en_ZA
dc.subject Genetic programming en_ZA
dc.title The impact of genetic programming in education en_ZA
dc.type Postprint Article en_ZA


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