By Topic

Assessing Virtual Laboratories in a Digital-Filter Design Course: An Experimental Study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Wei-Fan Chen ; Pennsylvania State Univ., Lehman ; Wen-Hsiung Wu ; Te-Jen Su

One hundred thirty-three undergraduate students in a digital filter design course participated in an experimental study. Two independent variables which occurred in a virtual laboratory environment were studied: 1) instructional treatments (online text-only materials, online texts with illustrations, and online texts with simulations); and 2) prior Internet experience (high and low). Three dependent variables were measured: 1) a knowledge achievement test; 2) intention to use instructional treatments; and 3) interaction levels with instructional treatments. The experimental research design of the study was a 3 times 2 randomized posttest design. Multivariate analysis of variance (MANOVA) was used to analyze collected data. The main effects and the potential interaction of the two independent variables were examined. Results indicate that the presentation of waveform variations and the change of parameters in the course content renders significant higher learning outcomes than online text-only materials and online texts with illustrations (Lambda (8,248) = 0.637, p < 0.05).

Published in:

Education, IEEE Transactions on  (Volume:51 ,  Issue: 1 )