|
Title:
|
TEACHING AI SEARCH ALGORITHMS IN A WEB-BASED EDUCATIONAL SYSTEM |
|
Author(s):
|
Foteini Grivokostopoulou, Ioannis Hatzilygeroudis |
|
ISBN:
|
978-972-8939-88-5 |
|
Editors:
|
Miguel Baptista Nunes and Maggie McPherson |
|
Year:
|
2013 |
|
Edition:
|
Single |
|
Keywords:
|
Web-based interactive system, interactive e-learning, AI search algorithms, adaptive system |
|
Type:
|
Full Paper |
|
First Page:
|
83 |
|
Last Page:
|
90 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
In this paper, we present a way of teaching AI search algorithms in a web-based adaptive educational system. Teaching is based on interactive examples and exercises. Interactive examples, which use visualized animations to present AI search algorithms in a step-by-step way with explanations, are used to make learning more attractive. Practice exercises, which are interactive exercises where immediate feedback is given when a student makes an error, but further help is optional, are also used. So, the student can try by him/herself to correct the error or ask for help from the system. Finally, the student can take a test consisting of assessment exercises, which are interactive, but no help is provided. The result of the test determines the student's knowledge level. Evaluation of the system through a pre-test/post-test and experimental/control group method gave very promising results about learning capabilities of the method. Also, results of a questionnaire show that the majority of the students liked the system very much. |
|
|
|
|
|
|
