Automated Mentor Assignment in Blended Learning Environments
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 w...
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sg-smu-ink.sis_research-30452016-02-18T02:39:10Z Automated Mentor Assignment in Blended Learning Environments BOESCH, Chris STEPPE, Kevin 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. 2014-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2046 info:doi/10.1109/CSEET.2014.6816786 https://ink.library.smu.edu.sg/context/sis_research/article/3045/viewcontent/C_Boesch_K_Steppe__Automated_Mentor_Assignment_in_Blended_Learning_Environments__CSEET_2014.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Game-based learning personalized learning blended learning software education Computer Sciences Higher Education Software Engineering |
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Game-based learning personalized learning blended learning software education Computer Sciences Higher Education Software Engineering BOESCH, Chris STEPPE, Kevin Automated Mentor Assignment in Blended Learning Environments |
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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. |
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text |
author |
BOESCH, Chris STEPPE, Kevin |
author_facet |
BOESCH, Chris STEPPE, Kevin |
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BOESCH, Chris |
title |
Automated Mentor Assignment in Blended Learning Environments |
title_short |
Automated Mentor Assignment in Blended Learning Environments |
title_full |
Automated Mentor Assignment in Blended Learning Environments |
title_fullStr |
Automated Mentor Assignment in Blended Learning Environments |
title_full_unstemmed |
Automated Mentor Assignment in Blended Learning Environments |
title_sort |
automated mentor assignment in blended learning environments |
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Institutional Knowledge at Singapore Management University |
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2014 |
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https://ink.library.smu.edu.sg/sis_research/2046 https://ink.library.smu.edu.sg/context/sis_research/article/3045/viewcontent/C_Boesch_K_Steppe__Automated_Mentor_Assignment_in_Blended_Learning_Environments__CSEET_2014.pdf |
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