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The Evolution of an Interdisciplinary Case-Based Learning First-Year Course

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

First-Year Programs Division (FYP) - Technical Session 1: Course Design

Tagged Division

First-Year Programs Division (FYP)

Page Count

18

DOI

10.18260/1-2--44451

Permanent URL

https://strategy.asee.org/44451

Download Count

113

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Paper Authors

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Rea Lavi Massachusetts Institute of Technology Orcid 16x16 orcid.org/0000-0002-0788-7236

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Rea Lavi, PhD, is lecturer and a curriculum designer with the New Engineering Education Transformation program and with the Department of Aeronautics and Astronautics and with the, both in the School of Engineering at Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. He also advises the MIT Abdul Latif Jameel World Education Lab on educational projects. Dr. Lavi teaches a case-based course open to all first-year students at MIT on approaches for tackling interdisciplinary problems. In 2021, he received an award from the d’Arebeloff Fund for Excellence in Education to develop and teach a project-based undergraduate course on tackling ill-defined problems.

Dr. Lavi received his Ph.D. from the Faculty of Education in Science and Technology, Technion—Israel Institute of Technology, Haifa, Israel. His research interests in STEM higher education and more particularly in undergraduate engineering education involve the fostering and assessment of systems thinking, creative ideation, and problem structuring. Dr. Lavi’s doctoral research received several awards, including the Zeff Fellowship for Excelling First-year Ph.D. Students and the Miriam and Aaron Gutwirth Fellowship for Excelling Ph.D. Students. He has published his work in various peer-reviewed journals in science and engineering education, including IEEE Transactions on Education, Studies in Educational Evaluation, and Journal of Research in Science Teaching. Dr. Lavi is the inventor of the SNAP Method® for structured creative problem-solving (US & UK trademarks).

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Cong Cong Massachusetts Institute of Technology

biography

Yuan Lai Massachusetts Institute of Technology Orcid 16x16 orcid.org/0000-0003-0664-5048

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Yuan Lai, PhD, is a lecturer in urban science and planning at Massachusetts Institute of Technology. His research interests include urban science, urban informatics, and future connections between computer science and cities to address urban socio-technic

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biography

Justin A. Lavallee Massachusetts Institute of Technology

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Justin Lavallee graduated from the Harvard Graduate School of Design in 2010 with a Master in Architecture. After working as a researcher studying novel applications for industrial robots in custom manufacturing processes, he joined the MIT Department of Architecture in 2011 as an instructor and eventually director of the MIT Architecture Shops. He joined the MIT New Engineering Education Transformation as a lead technical instructor in 2019. Throughout his time at MIT he has focused on developing and teaching courses at the intersection of design, technology, and making, while also participating in a number of research projects focusing on new fabrication techniques.

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Gregory L. Long Ph.D. Massachusetts Institute of Technology

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Gregory L. Long, PhD is currently the Lead Laboratory Instructor for NEET's Autonomous Machines thread at the
Massachusetts Institute of Technology. He has a broad range of engineering design, prototype fabrication, woodworking, and manufacturing experi

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Nathan Melenbrink Massachusetts Institute of Technology

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Amitava 'Babi' Mitra Massachusetts Institute of Technology Orcid 16x16 orcid.org/0000-0003-0282-7880

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Amitava 'Babi' Mitra
linkedin.com/in/babimitra|+1-617-324-8131 | babi@mit.edu

Dr. Amitava ‘Babi’ Mitra is the founding Executive Director of the New Engineering Education Transformation (NEET) program at MIT

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Abstract

Students at Massachusetts Institute of Technology (MIT) have traditionally taken their required core classes in first-year; these are typically pass/no-record courses and courses with hidden grades so that first-year students get the opportunity to get acclimatized to the demanding educational system. In Fall 201, MIT decided to also offer first-year classes which would help students explore different majors and programs without the need to commit to them. In Summer 2020, well into the COVID-19 pandemic in the Unites States, the New Engineering Education Transformation (NEET) program decided to offer such an exploratory course remotely in Fall 2020, with the aim of introducing first-year students to each of the five interdisciplinary threads in the program: Advanced Materials Machines; Autonomous Machines; Digital Cities; Living Machines; and Renewable Energy Machines. This course, SP.248 NEET Ways of Thinking, is a pass/no-record course. Engaging and attracting students’ interests were emphasized in the design and delivery of the course. In this paper, we describe the design, implementation, and evolution of this three-unit course from Fall 2020 through to Fall 2022 and its shift from remote to in-person modalities. From Fall 2020 through to Fall 2021, 79 first-year students completed the course, with the Fall 2022 class still ongoing. With one hour allotted to a weekly class, and two hours allotted to students out of class, the lead instructor and co-instructors designed a modular curriculum with challenge-based learning pedagogy. Apart from the first and last classes, implementation consisted of five two-week sections, each one centered on a challenge in one of the five NEET threads. Each section was coupled with one of four approaches for problem-solving, namely, algorithmic thinking, creative thinking, systems thinking (coupled with two tracks), or making. Student assignments involved: (a) in-class individual training assignments, practicing methods, tools, or techniques belonging to a specific problem-solving approach, (b) out-of-class application assignments, involving the application of said methods, mostly in teams, and (c) out-of-class individual reflections where students rated their progress with and gave examples for the approaches to problem-solving they had learned in class. These assignments allowed instructors to conduct summative and formative assessment, tracking student progress while also allowing students to track their own progress. The shift to in-person modality took place in Fall 2021 and has remained since. As a result of lessons learned from the Fall 2021 implementation of the course, the Fall 2022 course curriculum now includes a new type of out-of-class assignment-preparation, most application assignments start during class rather than after class, and training assignments were removed altogether. In this paper, we describe the design of the initial remote curriculum and remote classes, as well as the design and implementation of the in-person iterations of the course. We also detail what we learned from each iteration of the course and how we applied those lessons in subsequent iterations. Finally, we provide suggestions to instructors and programs aiming to provide first-year engineering students with introductions to approaches for problem-solving through active learning and interdisciplinary learning opportunities.

Lavi, R., & Cong, C., & Lai, Y., & Lavallee, J. A., & Long, G. L., & Melenbrink, N., & Mitra, A. B. (2023, June), The Evolution of an Interdisciplinary Case-Based Learning First-Year Course Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--44451

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