Instructor-Facing Graphical User Interface for Micro-Credential Designation and Refinement in STEM Curricula
- Conference
- Location
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Marietta, Georgia
- Publication Date
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March 10, 2024
- Start Date
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March 10, 2024
- End Date
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March 12, 2024
- Page Count
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11
- DOI
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10.18260/1-2--45539
- Permanent URL
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https://sftp.asee.org/45539
- Download Count
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21
Paper Authors
Paul Amoruso University of Central Florida
Paul Amoruso earned his B.S. in 2021 and his Master's degree
in 2023. Currently, he is continuing his education in the same field and pursuing a Ph.D. in Computer Engineering at the University of Central Florida, Orlando, FL. Since 2022, he has served as a Graduate Research and Teaching Assistant for the Department of Electrical Engineering and Computer Science. His educational interests are innovations in machine learning implementations in everyday aspects particularly in education, technology-enabled learning, and feedback driven grading approaches. His thesis was titled “Micro-credentialing with Fuzzy Content Matching: An Educational Data-Mining Approach.” ECE Best TA Award, Three Minute Thesis finalist, and Senior Design Day Showcase winner of Fall 2021, are a handful of many awards obtained within this pursuit. In addition, the PhD research led by Mr. Amoruso is aiming to integrate machine learning in the collected educational data gathered in his Master’s research.
Ozlem O Garibay
University of Central Florida
orcid.org/0000-0001-9215-694X
Dr. Garibay has over 20 years of combined experience in creating and developing multimillion-dollar complex software systems and research in artificial intelligence. She is an assistant professor in industrial engineering and director of the UCF Human-Centered AI Research Laboratory, a cross disciplinary team dedicated to investigating artificial intelligence from a human-centered context. Prior to that, she served as the director of the UCF’s Research Technology Office. Her areas of research are applied machine learning in drug discovery and molecule design, social media analysis, social cybersecurity, social and economic networks, network science, and evolutionary computation.
Laurie O Campbell
University of Central Florida
orcid.org/0000-0001-7313-5457
Laurie O. Campbell, Ed.D., is an Assoc. Professor in Learning Sciences and Educational Research, at the University of Central Florida. She pursues research to better serve underrepresented populations in STEM.
Ronald F. DeMara P.E.
University of Central Florida
orcid.org/0000-0001-6864-7255
Ronald F. DeMara is Pegasus Professor in the Department of Electrical and Computer Engineering, and joint faculty member of Computer Science, at the University of Central Florida, where he has been a full-time faculty member since 1993. He has completed over 325 articles, 50 funded projects as PI or Co-PI, and 56 graduates as Ph.D. dissertation and/or M.S. thesis advisor. He was previously an Associate Engineer at IBM and a Visiting Research Scientist at NASA Ames, in total for four years, and has been a registered Professional Engineer since 1992. He has served ten terms as a Topical Editor or Associate Editor of various IEEE Transactions and in many IEEE/ACM/ASEE conferences including General Co-Chair of GLSVLSI-2023. He has received the Joseph M. Biedenbach Outstanding Engineering Educator Award from IEEE and is a Fellow of AAAS.
Abstract
An instructor-facing Graphical User Interface (GUI) for micro-credential formation and tracking within STEM curricula is designed, prototyped, and evaluated. It enables instructors to readily associate skills with response-level elements within digitized assessments of Canvas LMS for issuance of micro-credential badges, without the need for computer programming expertise. An instructor survey of preference and acceptance levels of skill tracking was conducted. Survey results were used to design an input flow and interface to tag skills. The Tkinter Python-based computer coding library was utilized to create rapid check buttons and the Matplotlib backend was deployed to generate pie chart views of instantaneous course performance against tagged skills. A case study demonstrates the process for highest and lowest achieved skills via an auto-appending CSV file, allowing the instructor to identify and react to semester-long performance of learners by tracking badge issuance rates up to 17.3% within a required Computer Engineering undergraduate course.
Amoruso, P., & Garibay, O. O., & Campbell, L. O., & DeMara, R. F. (2024, March), Instructor-Facing Graphical User Interface for Micro-Credential Designation and Refinement in STEM Curricula Paper presented at 2024 South East Section Meeting, Marietta, Georgia. 10.18260/1-2--45539
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