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Direct Assessment of Student Achievement through D2L

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Conference

2025 ASEE Annual Conference & Exposition

Location

Montreal, Quebec, Canada

Publication Date

June 22, 2025

Start Date

June 22, 2025

End Date

August 15, 2025

Conference Session

ECE-Embedded Systems Education: Innovation and Virtual Platforms

Tagged Division

Electrical and Computer Engineering Division (ECE)

Page Count

15

Permanent URL

https://peer.asee.org/56297

Paper Authors

biography

Guoping Wang Purdue University Fort Wayne Orcid 16x16 orcid.org/0000-0002-5821-2845

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Guoping Wang, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at Purdue University Fort Wayne. He earned his Ph.D. from the University of Oklahoma in 2003, following a Master's from Nanjing University and a Bachelor's from Tsinghua University. Dr. Wang's research interests include the Internet of Things, edge computing in machine learning, embedded systems, FPGA for DSP applications, and computer security. He has received numerous awards for teaching excellence and secured multiple grants for innovative projects. A senior member of IEEE, he actively contributes to the field through publications and conference presentations.

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Abstract

This paper delves into the implementation of D2L/Brightspace learning outcome tools specifically designed for the direct assessment of course outcomes, with a keen focus on ABET Student Outcomes (SOs) based on our experience preparing for the ABET accreditation visit. Achieving ABET accreditation is a hallmark of program excellence within fields such as applied science, computing, engineering, and engineering technology. This accreditation guarantees that graduates are equipped with the essential skills necessary for their respective professions, thereby enhancing their employability and readiness for the workforce.

ABET SOs are carefully constructed measurable statements that outline the knowledge and skills students are expected to acquire by the time they graduate. These outcomes encompass a variety of critical competencies, including technical proficiency, effective communication, and problem-solving abilities. Direct assessment involves evaluating student performance through various measures, such as exams, projects, and presentations. This approach ensures clear alignment with ABET SOs, providing concrete evidence of student learning and competency.

However, the traditional method of documenting these assessments can be labor-intensive and susceptible to inaccuracies. To mitigate these challenges, this paper advocates for the utilization of digital tools like D2L/Brightspace, which can significantly streamline the assessment process. By employing such tools, educators can efficiently track student work, automate data collection, and ensure assessments are consistently aligned with ABET SOs.

Additionally, the paper identifies key areas for improvement within D2L, such as the option to configure assessments as "not counted," the ability to easily download assessment results, and enhanced segregation of students for reporting purposes. Overall, D2L emerges as a powerful asset in refining the direct assessment of ABET SOs, ultimately ensuring that educational programs not only meet established goals but also effectively prepare students for successful careers in their chosen fields.

Wang, G. (2025, June), Direct Assessment of Student Achievement through D2L Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . https://peer.asee.org/56297

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