Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

10-2020

Abstract

This full paper evaluates the effectiveness of doubts identification and clarification methods applied in undergraduate computing design courses. Many undergraduate courses in computing require students to understand abstract design concepts. Exposed to the design concepts for the first time, students need to be able to identify and clarify their doubts about the abstract concepts in order to make the right design decisions. In this study, we seek to evaluate the effectiveness of six methods that help students to identify and clarify their doubts. These methods vary in their timing (immediate or delayed), communication style (online or face-to-face) and participation style (individual or group-based). We conduct surveys on the effectiveness of these methods in two undergraduate computing design courses, a course on design thinking and another on software architecture design. We evaluate the quantitative and qualitative responses for each method used. Students generally prefer methods with immediate feedback on face-to-face communication with specific questions that allow them to have another perspective of the content covered. Methods that ask self-reflective questions on what they learnt on their own are less preferred based on this survey. This study outcome illustrates that the students require more guidance to be self-directed and wants more immediate face-to-face guidance in clearing doubts on the concepts taught. We hope this study can help educators to compare and choose the suitable methods to draw out and clarify doubts for their students

Keywords

doubts identification, doubts clarification, computing, design courses

Discipline

Computer Sciences | Educational Methods | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2020 IEEE Frontiers in Education Conference (FIE): Uppsala, Sweden, October 21-24: Proceedings

First Page

1

Last Page

9

ISBN

9781728189611

Identifier

10.1109/FIE44824.2020.9274170

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/FIE44824.2020.9274170

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