AbstractsComputer Science

Progressive Feedback Systems for Skill-Based E-Learning Environments

by Cinthya Gabriela Guillen




Institution: Savannah College of Art and Design
Department: Interactive Design and Game Development
Degree: M.F.A.
Year: 2014
Keywords: Thesis (M.F.A.)  – Interactive Design and Game Development; Savannah College of Art and Design  – Department of Interactive Design and Game Development
Record ID: 2042921
Full text PDF: http://ecollections.scad.edu/iii/cpro/DigitalItemViewPage.external?sp=1002399


Abstract

Receiving suitable feedback in a timely manner is one of the most important factors of e- Learning assessments. However, as educational researchers Daniel Pratt, M. Puspha, Will Richardson, Peter Brusilovsky, and Mark T. Maybury have concluded, their findings indicate that implementing suitable teaching tools that allow feedback to help online learners understand the concept are not being executed properly in e-Learning assessments. Creating a progressive feedback system can be an important factor, especially within the e-Learning field. By developing a progressive feedback system that helps online learners receive immediate attention, we can tailor assessment practices to their needs and offer more alternatives for learning to potentially improve online learners engagement level by allowing them to learn at their own pace. The purpose of this thesis is to present different feedback methods and ways in which designers can implement learning feedback to develop an e-Learning environment that will teach online learners the skills needed to code in different computer languages. To support this investigation, an interactive educational application named LearnSASS has been designed to help teach online learners, who are studying information technology, SASS as a computer language. LearnSASS provides computer programmers/designer online learners with different visual representation methods through pictures, diagrams, analogies and videos to accommodate different styles of learning in order to maximize intellectual growth. Includes videos of final "Easy Money?" game footage and variables.