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Analysis of the transition to a virtual learning semester in a college software testing course

Published: 23 August 2021 Publication History

Abstract

This report presents observations from two semesters of the same course, Software Testing, within the same department, in different school years. The first semester, Fall 2019, was the last semester completely in-person before the COVID-19 pandemic made it so that our courses changed to a virtual setting. The second semester, Spring 2021, is the most recent virtual semester at the time that this report is being written (in May of 2021). Though the course was modified to some extent for the purpose of it being online, we had a goal for it to remain largely the same. In both versions of the course, there was a heavy emphasis on interactive exercises as a means to increase engagement and performance within the class and in regards to software testing as a whole. The virtual semester gave us an opportunity to try out a variety of new avenues of learning and an exercise in trying to keep consistency from an in-person environment to a virtual one. This report will address added benefits of the virtual settings, consistencies that we managed to maintain throughout the transition, and lost exercises from the course along with ideas of how to mitigate the loss in any future virtual semesters. It will also address feedback from a survey given to students as we consider the results of the semesters.

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Cited By

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  • (2024)An Overview on Testing Big Data ApplicationsProceedings of Ninth International Congress on Information and Communication Technology10.1007/978-981-97-3299-9_25(303-315)Online publication date: 30-Jul-2024
  • (2023)An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS61268.2023.00015(30-37)Online publication date: 8-Nov-2023
  • (2022)Report from the 3rd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '21)ACM SIGSOFT Software Engineering Notes10.1145/3502771.35027947:1(22-24)Online publication date: 25-Jan-2022

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cover image ACM Conferences
EASEAI 2021: Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence
August 2021
61 pages
ISBN:9781450386241
DOI:10.1145/3472673
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 23 August 2021

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  1. Adapting to Online Setting
  2. Software Testing
  3. Virtual Learning

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Cited By

View all
  • (2024)An Overview on Testing Big Data ApplicationsProceedings of Ninth International Congress on Information and Communication Technology10.1007/978-981-97-3299-9_25(303-315)Online publication date: 30-Jul-2024
  • (2023)An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS61268.2023.00015(30-37)Online publication date: 8-Nov-2023
  • (2022)Report from the 3rd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '21)ACM SIGSOFT Software Engineering Notes10.1145/3502771.35027947:1(22-24)Online publication date: 25-Jan-2022

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