Paper Info
Title
Motivational active learning: engaging university students in computer science education
Abstract
Attracting and engaging computer science students to enhance their mathematical and algorithmic thinking skills are challenging tasks. In winter 2013 we introduced a new teaching format for a course, which combines theory in computer science with hands-on algorithmic challenges, mathematical thinking activities, and collaborative problem-solving. Therefore, we introduced the pedagogical model Motivational Active Learning (MAL), which is grounded in MIT's successful format for teaching physics, Technology-Enabled Active Learning (TEAL), and combines it with motivational strategies usually used by game designers. Results from the initial setup in class reveals that students indeed assessed the course structure as more interactive and motivating compared to other similar courses. In this paper we discuss the course design, issues, and the impact, and analyze the first results in detail.
Year
DOI
Venue
2014
10.1145/2591708.2591750
ITiCSE
Keywords
Field
DocType
game-based learning,interactive learning,cs education,motivation,motivational active learning,active learning,gamification,information systems education,computer science education,motivational learning,pedagogy
Experiential learning,Educational technology,Interactive Learning,Learning sciences,Active learning,Computer science,Algorithmic thinking,Synchronous learning,Pedagogy,Cooperative learning,Multimedia
Conference
Citations 
PageRank 
References 
23
1.42
2
Authors
3
Name
Order
Citations
PageRank
Johanna Pirker17022.79
Maria Riffnaller-Schiefer2231.42
Christian Gütl322834.68