Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
4-2014
Abstract
In this paper we discuss the addition of automatic assignment of mentors during inclass lab work to an existing online platform for programing practice. SingPath is an web based tool for users to practice programming in several software languages. The platform started as a tool to provide students with online feedback on solutions to programming problems and expanded over time to support different of blended learning needs for a variety of classes and classroom settings. The SingPath platform supports traditional self-directed learning mechanisms such as badges and completion metrics as well as features for use in classrooms, such as tournaments. We evaluate the addition of the mentor assignment feature during two short workshops designed to introduce students to the Python and JavaScript programming languages. The introduction of the mentor assignment features provided a more collaborative and engaging experience compared with previous courses.
Keywords
Game-based learning, personalized learning, blended learning, software education
Discipline
Computer Sciences | Higher Education | Software Engineering
Research Areas
Software Systems
Publication
2014 IEEE 27th Conference on Software Engineering Education and Training (CSEE&T): Proceedings: April 23-25, 2014, Klagenfurt, Austria
First Page
94
Last Page
98
ISBN
9781479949700
Identifier
10.1109/CSEET.2014.6816786
Publisher
IEEE
City or Country
Piscataway, NJ
Embargo Period
2-19-2014
Citation
BOESCH, Chris and STEPPE, Kevin.
Automated Mentor Assignment in Blended Learning Environments. (2014). 2014 IEEE 27th Conference on Software Engineering Education and Training (CSEE&T): Proceedings: April 23-25, 2014, Klagenfurt, Austria. 94-98.
Available at: https://ink.library.smu.edu.sg/sis_research/2046
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1109/CSEET.2014.6816786