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Competency Based Learning In “Aerospace Structures I” In an Online Environment – Work in Progress

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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

Tools and Strategies for Teaching Online Courses

Tagged Division

New Engineering Educators

Tagged Topic

Diversity

Page Count

14

DOI

10.18260/1-2--36822

Permanent URL

https://peer.asee.org/36822

Download Count

303

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Paper Authors

biography

Maria Chierichetti San Jose State University Orcid 16x16 orcid.org/0000-0002-9093-8697

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Maria Chierichetti joined the department of Aerospace Engineering as a full-time assistant professor in Fall 2019. Her interests lie in the field of aerospace structural design and vibrations, with particular emphasis on developing methodologies for combining finite element analysis and machine/deep learning for structural health monitoring and unmanned Structural inspections in the context of urban air mobility. Maria is also interested in investigating how students learning is affected by external factors, such as COVID-19 pandemic and community service. Before joining SJSU, she worked as a faculty member at Worcester Polytechnic Institute and at the University of Cincinnati. She earned her PhD at Georgia Tech in 2012 working on the monitoring and tracking of helicopter blade deformation. She earned a BS and MS from Politecnico di Milano (Italy) in 2004 and 2007 respectively, with majors in Aeronautical Engineering. She is an Amelia Earhart Fellow – Zonta International Foundation.

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Nataliya Grigoryan San Jose State University

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Radha Aravamudhan San Jose State University

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Radha Aravamudhan's research interests include Culturally Responsive Pedagogy, Community cultural wealth and their application to curriculum specifically with respect to undergraduate engineering education as well as creative Arts-Based Research and Documentary film making. She supports faculty research in the area of undergraduate STEAM teaching and learning with a focus on increasing retention and graduation rates of under-represented student populations in engineering.

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Joseph Rodriguez San Jose State University

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Abstract

In Fall 2020, we converted the engineering upper division class “Aerospace Structural Analysis I” from a traditional format to a competency-based learning model. “Aerospace Structural Analysis I” is a combination of topics from statics and strength of materials applied to aerospace systems. A total of about 100 students were enrolled in the class. Due to the coronavirus pandemic in 2020, this class was conducted in an online environment for the first time in Fall 2020. Competency based learning assesses students on how many topics/skills they are proficient, and allows students to engage with more complex topics only after mastering prerequisite skills. To pass the class in the competency-based learning model, students must be proficient on seven fundamental skills related to aerospace structures. Students are required to be proficient on further skills to obtain a higher grade. Students demonstrate proficiency on a skill by completing a quiz without major errors. The class was offered in Fall 2020 as fully online, with synchronous, recorded lectures. Although the online format poses new challenges for students, we think that it was easier for students to progress at their own pace in an online environment. The effectiveness and limitations of the competency-based pedagogy are assessed in the paper comparing students’ progress and grade between Fall 2020 and the previous class offering (Fall 2019). In addition, students’ experience and perception about the new format are assessed with an end-of-semester survey. Students generally had a positive experience with competency-based learning format, but they identified the necessity to provide more timely feedback.

Chierichetti, M., & Grigoryan, N., & Aravamudhan, R., & Rodriguez, J. (2021, July), Competency Based Learning In “Aerospace Structures I” In an Online Environment – Work in Progress Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36822

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