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Enabling National Software Development Competitions To Identify And Enhance Student Mentor Capability In Singapore, Chris Boesch, Sandra Boesch
Enabling National Software Development Competitions To Identify And Enhance Student Mentor Capability In Singapore, Chris Boesch, Sandra Boesch
Research Collection School Of Computing and Information Systems
The authors previously developed a system to facilitate the self-directed learning and practicing of software languages in Singapore. One of the goals of this self-directed learning was to enable the creation of student mentors who would be able to assist other students during classroom sessions. Building on this work, the authors extended the platform to support the promotion and coordination of multiple programming competitions including multiple schools systems within Singapore with the goals of identifying, enabling, and mentoring students who might be better prepared to mentor their peers at their school after participating in the country wide competition. This paper …
Automated Mentor Assignment In Blended Learning Environments, Chris Boesch, Kevin Steppe
Automated Mentor Assignment In Blended Learning Environments, Chris Boesch, Kevin Steppe
Research Collection School Of Computing and Information Systems
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. …
Adaptive Gameplay For Programming Practice, Chris Boesch, Sandra Boesch
Adaptive Gameplay For Programming Practice, Chris Boesch, Sandra Boesch
Research Collection School Of Computing and Information Systems
Over the past four years, we have collaborated to develop a set of online games to enable users to practice software languages in a self-directed manner and as part of a class. Recently we introduced a new adaptive difficulty feature that enables players to self-regulate the difficulty of the games they are playing to practice. These new features also provide additional information to further adapt the problem content to better meet the needs of the users.