Improving stem k-12 learning using optimal spaced retrieval in an existing educational technology platform

Active Project Grant Awarded Last action

Award ID
2301130
Recipient
Awarding agency
Obligated
$1,554,000

Award facts

Completion date 65% complete
Place of performance
Pittsburgh, PA 15213, USA

Award details come from USAspending.gov.

Description

Abstract
Mastering material in stem classes requires students to learn and memorize large amounts of new knowledge in a short period of time. One way that has long been argued to improve such learning is by having students practice new knowledge by spacing questions over time (spaced retrieval practice). However, the evidence for the benefits of spaced retrieval practice in stem contexts is limited. Through multiple classroom studies involving thousands of stem students across different US middle and high schools, this project aims to understand how spaced retrieval practice improves stem learning and to develop spacing algorithms specific to stem education that work in authentic contexts. This research will contribute to a better and more precise implementation of spaced retrieval practice in stem education. The project explores how middle and high school learners acquire knowledge using spacing and retrieval practice in the context of stem education, and which features are critical to yield learning gains. The central hypothesis of this project is that the optimal spaced retrieval practice is adaptive. That is, IT depends on each student's study history and what is being learned. Studies 1 and 2 investigate whether spacing practice by topic (regardless of the specific question) is as beneficial as spacing individual questions in at least 25 classrooms. This work will create a high-fidelity student computational model for studies 3 and 4 to investigate the learning and motivational impacts of adaptive spaced retrieval practice schedules implemented in a web-based educational application, compared to a non-optimized non-adaptive version and a frequently used heuristic algorithm for spaced scheduling. Study 5 will leverage these findings in a large-scale classroom study. Studies 2, 4, and 5 will occur in approximately 50 classrooms with over 1200 middle and high-school students. Overall, this project will contribute to a better understanding of learning and how IT is sensitive to individual and temporal factors. This project is supported by NSF's EDU core research (ECR) program. The ECR program emphasizes fundamental stem education research that generates foundational knowledge in the field. Investments are made in critical areas that are essential, broad and enduring: stem learning and stem learning environments, broadening participation in stem, and stem workforce development. This project is CO-funded by the innovative technology experiences for students and teachers (itest) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (stem) and information and communication technology (ICT) careers. 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.

Transactions

Action Obligated Date
Amendment $382,596
Amendment $30,000
Amendment $370,929
Amendment $24,000
Original award $746,475

Subawards

Subrecipient Amount Awarded
The University Of Memphis Improving STEM K-12 Learning Using Optimal Spaced Retrieval in an Existing Educational Technology Platform $60,396
University Of Memphis Experiment design, experiment implementation planning, data analysis, algorithm design, conventional statistical analysis and reporting of this research.… $57,725
Podsie, Inc. Lead the software development of Podsie, a web tool that enables K-12 teachers and students to implement personalized spaced retrieval practice in the… $228,800
University Of Memphis Work on all aspects of the project with the exclusion of software development in Podsie. These aspects include experiment design, experiment implementation… $55,181

Quick answers

Who received award 2301130?

2301130 was awarded to Carnegie-Mellon University by Division of Research on Learning in Formal and Informal Settings (National Science Foundation) on August 1, 2023.

How much is award 2301130 worth?

$1,554,000 has been obligated on 2301130.

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