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Award Abstract # 2135190
Collaborative Research: Understanding Context: Propagation and Effectiveness of the Concept Warehouse in Mechanical Engineering at Five Diverse Institutions and Beyond

NSF Org: DUE
Division Of Undergraduate Education
Recipient: TRUSTEES OF TUFTS COLLEGE
Initial Amendment Date: June 30, 2021
Latest Amendment Date: June 6, 2024
Award Number: 2135190
Award Instrument: Continuing Grant
Program Manager: Nasser Alaraje
nalaraje@nsf.gov
 (703)292-8063
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: August 1, 2021
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $926,390.00
Total Awarded Amount to Date: $631,082.00
Funds Obligated to Date: FY 2018 = $154,214.00
FY 2020 = $246,261.00

FY 2021 = $230,607.00
History of Investigator:
  • Milo Koretsky (Principal Investigator)
    milo.koretsky@tufts.edu
Recipient Sponsored Research Office: Tufts University
80 GEORGE ST
MEDFORD
MA  US  02155-5519
(617)627-3696
Sponsor Congressional District: 05
Primary Place of Performance: Tufts University
4 Colby St
Medford
MA  US  02155-6013
Primary Place of Performance
Congressional District:
05
Unique Entity Identifier (UEI): WL9FLBRVPJJ7
Parent UEI: WL9FLBRVPJJ7
NSF Program(s): IUSE
Primary Program Source: 04001819DB NSF Education & Human Resource
04002021DB NSF Education & Human Resource

04002122DB NSF Education & Human Resource
Program Reference Code(s): 8209, 8244, 9178
Program Element Code(s): 199800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

An increase in the number and diversity of graduates in science, technology, engineering, and mathematics (STEM) fields is important for the nation's competitiveness. Concept-based active learning strategies have been shown to improve students' academic performance and increase the number who choose to stay in STEM programs. However, scientific proof that these strategies are effective is not enough to make sure instructors use them in courses. It is also necessary to understand and find ways to get instructors to adopt proven practices. In this project new online concept-based materials for mechanical engineering courses in Statics and Dynamics will be developed. The project team will study why instructors decide to use the materials, and how factors at five different types of institutions affect these decisions. The project will help to show how circumstances at different institutions affect both instructor adoption as well as student learning and motivation. It will help inform ways to support widespread use of the evidence-based instructional practice. Thus, it will also help more students stay in and graduate from engineering programs.

The goal of this project is to increase the adoption of concept-based active learning throughout undergraduate engineering programs. It builds upon the project team's previous success in developing the web-based Concept Warehouse instructional resource for chemical engineering. The resource contains hundreds of short questions to engage students in concept-oriented thinking, to assess their conceptual knowledge, and to provide extensive concept-based active learning tools. The project will expand Concept Warehouse to include content in mechanical engineering. Participating institutions include research-intensive and Hispanic-serving institutions, as well as a two-year college. A systems approach will be used to examine how elements of the educational context, such as size and departmental culture, influence instructor uptake and the resulting student learning. A mixed-methods research design will include the use of data analytics, instructor interviews, student focus groups, observations, classroom video, and pre/post concept inventory scores. The research plan will also address ways in which student backgrounds and demographics (e.g., underrepresented minorities; first-generation status) interact with institutional settings to affect student learning and engagement. Workshops and faculty community building activities will be used to promote propagation of the enhanced evidence-based instructional practices.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 15)
Auby, H. and Koretsky, M. "Work in Progress: Using Machine Learning to Map Student Narratives of Understanding and Promoting Linguistic Justice" 2023 ASEE Annual Conference & Exposition , 2023 Citation Details
Cook, Jacob "Bridging the Gap: Computer Simulations and Video Recordings for Remote Inquiry-Based Laboratory Activities in Mechanics" AEE Journal , v.10 , 2022 https://doi.org/10.18260/3-1-1153-36026 Citation Details
Cook, JM and Ekstedt, TW and Self, BP and Koretsky, MD "Work-in-Progress: Computer Simulations to Deliver Inquiry-Based Laboratory Activities in Mechanics" ASEE annual conference exposition , 2021 Citation Details
Grundy, L. S. and Koretsky, M. D. "Student Metacognitive Reflection on a Conceptual Statics Question" 2023 ASEE Annual Conference & Exposition , 2023 Citation Details
Harpreet Auby and John Galisky and Susan Nolen and Milo Koretsky "WIP: Instances of Dynamic Pedagogical Decision Making in the Uptake of a Technology Tool" ASEE Annual Conference proceedings , 2022 Citation Details
Harpreet Auby and Namrata Shivagunde and Anna Rumshisky and Milo Koretsky "WIP: Using Machine Learning to Automate Coding of Student Explanations to Challenging Mechanics Concept Questions" ASEE Annual Conference proceedings , 2022 Citation Details
Koretsky, Milo and Emberley, Amanda and Galisky, John and Self, Brian "WIP: Instructors Framing of their Instructional Practice" , 2024 https://doi.org/10.18260/1-2--48311 Citation Details
Koretsky, Milo D "Concept Warehouse Remote: Making Student Thinking Visible" Advances in engineering education , v.8 , 2020 Citation Details
Koretsky, Milo D. and Nolen, Susan Bobbitt and Galisky, John and Auby, Harpreet and Grundy, Lorena S. "Progression from the mean: Cultivating instructors' unique trajectories of practice using educational technology" Journal of Engineering Education , v.113 , 2024 https://doi.org/10.1002/jee.20586 Citation Details
Nigon, Nutnicha and Tucker, Julie and Koretsky, Milo "Student-Tool Interactions from a Conceptually Challenging Adaptive Learning Module for Materials Science" , 2024 https://doi.org/10.18260/1-2--48024 Citation Details
Nigon, Nutnicha and Tucker, Julie D and Ekstedt, Thomas W and Jeong, Brandon C and Simionescu, Dana C and Koretsky, Milo D "Adaptivity or agency? Educational technology design for conceptual learning of materials science" Computer Applications in Engineering Education , 2024 https://doi.org/10.1002/cae.22790 Citation Details
(Showing: 1 - 10 of 15)

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