Supporting the learning of rapid application development in a database environment

Risco, Silviu (2012) Supporting the learning of rapid application development in a database environment. PhD thesis, Queensland University of Technology.

Abstract

Intelligent Tutoring Systems (ITSs) are computer systems designed to provide individualised help to students, learning in a problem solving context. The difference between an ITS and a Computer Assisted Instruction (CAI) system is that an ITS has a Student Model which allows it to provide a better educational environment. The Student Model contains information on what the student knows, and does not know, about the domain being learnt, as well as other personal characteristics such as preferred learning style.

This research has resulted in the design and development of a new ITS: Personal Access Tutor (PAT). PAT is an ITS that helps students to learn Rapid Application Development in a database environment. More specifically, PAT focuses on helping students to learn how to create forms and reports in Microsoft Access.

To provide an augmented learning environment, PAT’s architecture is different to most other ITSs. Instead of having a simulation, PAT uses a widelyused database development environment (Microsoft Access). This enables the students to ask for help, while developing real applications using real database software.

As part of this research, I designed and created the knowledge base required for PAT. This contains four models: the domain, student, tutoring and exercises models.

The Instructional Expert I created for PAT provides individualised help to the students to help them correctly finish each exercise, and also proposes the next exercise that a student should work on.

PAT was evaluated by students enrolled in the Databases subject at QUT, and by staff members involved in teaching the subject. The results of the evaluation were positive and are discussed in the thesis.

Impact and interest:

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Full-text downloads:

417 since deposited on 08 Nov 2012
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ID Code: 54678
Item Type: QUT Thesis (PhD)
Supervisor: Reye, James
Keywords: intelligent tutoring systems, student modelling, individualised feedback, rapid application development, Microsoft Access
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 08 Nov 2012 03:56
Last Modified: 03 Sep 2015 11:23

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