The Effect of Self-Explanation on Learning Computer Programming Language

• In Event: Poster Session 10
  In Poster Session: Games, the World Wide Web, and Robots

Abstract

The effect of self-explanation (SE) on learning of a computer programming language was compared to a traditional approach of reading questions and answers (Q&A). Further, participants’ perceptions toward SE and Q&A were examined to determine their preference. High school students (N = 168) completed 5 lessons through SE or Q&A and took a test at the end of each lesson. To balance the learning experience in the two groups, SE and Q&A tutorials were swapped. Although students mostly preferred self-explanation, the test performances of the two groups were not significantly different. Mastering SE skills is challenging during a short experimental period. The findings also speak to the importance of the proper choice of learning/instructional strategies tailoring to learner characteristics.

Authors

• Nancy Lee, University of Nevada - Las Vegas

• Eunsook Hong, University of Nevada - Las Vegas