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2019 | OriginalPaper | Chapter

Enhancing Object-Oriented Programming Pedagogy with an Adaptive Intelligent Tutoring System

Authors : Methembe Dlamini, Wai Sze Leung

Published in: ICT Education

Publisher: Springer International Publishing

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Abstract

Challenges to teaching programming include a lack of structured teaching methodologies that are tailored for programming subjects while the benefits of providing programming students with individual attention are not easily addressed due to high student-to-teacher ratios. This paper describes how adaptive intelligent tutoring systems may represent a potential solution assisting teachers in delivering individualized attention to their students while also helping them to discover effective ways of teaching a core programming concept such as object-oriented programming. This paper investigates how adaptability in traditional intelligent tutoring systems are achieved, presenting an adaptive pedagogical model that uses machine learning techniques to discover effective teaching strategies suitable for a particular student. The results of a prototype of the proposed model demonstrate the model’s ability to classify the student models according to their learning style correctly. The knowledge obtained can be applied by educators to make better-informed choices in the formulation of lesson plans that are more appropriate to their students.

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previous chapter A Reflective Practice Approach for Supporting IT Skills Required by Industry Through Project-Based Learning

next chapter Interactive Learning of Factual Contents Using a Game-Like Quiz

The software is available for researchers upon e-mail request: wsleung@uj.ac.za.

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Title: Enhancing Object-Oriented Programming Pedagogy with an Adaptive Intelligent Tutoring System
Authors: Methembe Dlamini
Wai Sze Leung
Publisher: Springer International Publishing
Book: ICT Education
Print ISBN: 978-3-030-05812-8

Electronic ISBN: 978-3-030-05813-5

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-05813-5_18

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