View Item 

Motivational Active Learning - Engaging University Students in Computer Science Education

Access Status
Fulltext not available
Authors
Date
2014
Type
Conference Paper

Metadata
Show full item record
Citation
Pirker, J. and Riffnaller-Schiefer, M. and Guetl, C. 2014. Motivational Active Learning: Engaging University Students in Computer Science Education, in Proceedings of the 2014 conference on Innovation & technology in computer science education (ITICSE'14), Jun 21 2014, pp. 297-302. Uppsala, Sweden: Association for Computing Machinery (ACM).
Source Title
ITICSE'14 Proceedings of the 2014 Innovation & Technology in Computer Science Education Conference
Source Conference
ITICSE'14
DOI
ISBN
URI
Collection
Abstract

Attracting and engaging computer science students to enhancetheir mathematical and algorithmic thinking skills are challengingtasks. In winter 2013 we introduced a new teaching format for acourse, which combines theory in computer science with handsonalgorithmic challenges, mathematical thinking activities, andcollaborative problem-solving. Therefore, we introduced thepedagogical model Motivational Active Learning (MAL), whichis grounded in MIT’s successful format for teaching physics,Technology-Enabled Active Learning (TEAL), and combines itwith motivational strategies usually used by game designers.Results from the initial setup in class reveals that students indeedassessed the course structure as more interactive and motivatingcompared to other similar courses. In this paper we discuss thecourse design, issues, and the impact, and analyze the first resultsin detail.