Intelligent tutoring system for learning PHP

Weragama, Dinesha Samanthi (2013) Intelligent tutoring system for learning PHP. PhD thesis, Queensland University of Technology.

Abstract

This thesis investigates the possibility of using an adaptive tutoring system for beginning programming students. The work involved, designing, developing and evaluating such a system and showing that it was effective in increasing the students’ test scores. In doing so, Artificial Intelligence techniques were used to analyse PHP programs written by students and to provide feedback based on any specific errors made by them. Methods were also included to provide students with the next best exercise to suit their particular level of knowledge.

Impact and interest:

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Full-text downloads:

591 since deposited on 08 Oct 2013
165 in the past twelve months

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ID Code: 63202
Item Type: QUT Thesis (PhD)
Supervisor: Reye, Jim & Morarji, Hasmukh
Keywords: Computerised learning systems, Domain module, Intelligent Tutoring Systems, PHP, Program analysis
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 08 Oct 2013 06:51
Last Modified: 09 Sep 2015 07:03

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