Paper Info
Title
Motivational active learning for computer science education (abstract only)
Abstract
Motivational Active Learning (MAL) is an innovative pedagogical approach based on MIT's teaching format TEAL (Technology-Enabled Active Learning) combined with advanced motivational strategies based on gamification design aspects. The main idea of MAL is to enhance learning outcomes using motivational and social learning experiences. The lecture format is designed for courses, which combine theory in computer science with hands-on programming challenges and collaborative in-course problem solving. The main features of MAL include collaborative learning, constant activities to stimulate interactions between instructor and students, immediate feedback for self-assessment, and motivational feedback such as badges or leaderboard information. The course is structured in the form of mini lectures with constant interactive challenges and interactions such as small arithmetic problems, programming challenges, or research and discussion assignments, which are available using a learning management system as supportive in-course technology to provide the interactive course content and according immediate feedback. First outcomes show positive impact on student motivation and attention during the lessons. Also, more students are willing to complete bonus tasks volunaryly do gain extra points.
Year
DOI
Venue
2014
10.1145/2538862.2544285
SIGCSE
Keywords
Field
DocType
motivational feedback,constant activity,immediate feedback,collaborative in-course problem,constant interactive challenge,social learning experience,technology-enabled active learning,motivational active learning,active learning,advanced motivational strategy,computer science education,collaborative learning
Educational technology,Experiential learning,Interactive Learning,Learning sciences,Active learning,Collaborative learning,Learning Management,Computer science,Knowledge management,Cooperative learning,Multimedia
Conference
Citations 
PageRank 
References 
1
0.41
0
Authors
2
Name
Order
Citations
PageRank
Johanna Pirker17022.79
Christian Gütl222834.68