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Student Usage of Auto-graded Activities in a Web-based Circuit Analysis Textbook

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Electrical and Computer Division Technical Session 7

Tagged Division

Electrical and Computer

Page Count

21

Permanent URL

https://peer.asee.org/37764

Download Count

25

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Paper Authors

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Nikitha Sambamurthy zyBooks, A Wiley Brand

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Nikitha Sambamurthy completed her Ph.D. in engineering education at Purdue University. Nikitha is the engineering and IT content lead at zyBooks, a Wiley brand that develops interactive, web-native textbooks for college courses in STEM (science, technology, engineering, and math) disciplines.

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Efthymia Kazakou zyBooks, A Wiley Brand

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Efthymia Kazakou is Sr. Assessments manager at zyBooks, a startup spun-off from UC Riverside and acquired by Wiley. zyBooks develops interactive, web-native learning materials for STEM courses. Efthymia oversees the development and maintenance of all zyBooks content resources used for assessment purposes.

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Yasaman Adibi zyBooks, A Wiley Brand

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Yasaman Adibi is an Engineering Content Author at zyBooks. She earned her PhD in Electrical Engineering from the University of Minnesota in 2015, where her research focused on medical imaging using ultrasound. She also did two years of postdoctoral research at the University of Minnesota and University of Wisconsin at Milwaukee. Prior to joining zyBooks she was a scientific adviser at Wilson Sonsini Goodrich and Rosati law firm, where she prepared and worked on patent applications in different fields of technology.

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Abstract

Engineering courses have increasingly been turning to online resources for textbooks and lab materials. This trend has been especially noticeable during the COVID-19 pandemic, as universities have needed to transition between in-person and online classes. As a result, instructors have progressively been using online, auto-graded problems for homework. Auto-graded homework problems have some benefits over traditional homework problems. Traditional homework problems are typically completed by hand, and can take time for instructors to grade and return to students. In that time, a class has typically moved on to another topic. Auto-graded problems can provide immediate feedback to students to allow them to understand concepts they might be struggling with. Additionally, auto-graded problems may be able to be randomized, allowing students to practice different versions of questions. We have developed a number of auto-graded problems, called challenge activities, in the context of a web-based, interactive circuit analysis textbook. Each challenge activity consists of three to five levels of randomized problems, starting with relatively basic conceptual circuit analysis problems and progressing to more advanced questions. Students must answer each question level correctly in order to move on to the next level. If a question is answered incorrectly, the student is given immediate feedback, and another question of similar difficulty is shown. In this paper, we analyze the use of 20 challenge activities by over 1000 students across 30 universities to understand metrics such as: the average completion rate, the average time spent on each activity, the average number of attempts per problem level, and potential study trends for how often students repeat completed activities for practice. We also identify common mistakes made by students, the percentage of students that struggle, and the percentage of students that gave up. We also share our best practices for authoring similar auto-graded circuit analysis problems.

Sambamurthy, N., & Kazakou, E., & Adibi, Y. (2021, July), Student Usage of Auto-graded Activities in a Web-based Circuit Analysis Textbook Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/37764

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