Iterative Model-Based System for Learning Object Review

Candidate: Rui Wang
Type: Master of Applied Science, Interactive Art (MASc-IA), School of Interactive Arts and Technology
Date: May 9, 2005
Senior Supervisor: Dr. Marek Hatala, Associate Professor
Thesis: Download Thesis Document

Abstract

In learning object review, reviewers can write reviews by commenting or rating review rubrics or categories. Besides learning object review, another demand in education activities is a learning tool to help students to complete assignments by writing summaries or answering questions on designated research papers (or simulation software). Compared with learning object review, this process has the similar steps, but with rubrics. Elorp, my thesis project, is developed by sharing some ideas with the learning object review process and is implemented on top of eLera [3]. Elorp introduces an iterative review model with support of state-control and provides two scenarios for students and faculty. In order to get feedback on iterative review models and system design, an evaluation experiment is conducted. The evaluation result showed that the design for Elorp has been successfully implemented and the iterative review model is helpful for students to complete reviewlsummary assignments.