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Welcome to the ITEST Resource Library
The curricula, instruments, and publications included in this library were submitted by ITEST projects and are relevant to the work of the NSF ITEST Program. Use the filters to the right to find relevant materials. A PDF and/or URL to the original resource are included within the resource description whenever possible. In some cases, full text publications are located behind publishers’ paywalls and a fee or membership to the third party site may be required for access.
Please note: permission for the use of instruments must be requested through the publisher or author listed in each entry, and cannot be granted by STELAR.
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Psychosocial Factors in Precollege Learning of Quantum Information Science and Technology
Publications Recent federal initiatives have focused on workforce development in the rapidly advancing field of quantum information science and technology (QIST), which begins with precollege education to engage and inspire students. This paper will examine the integrated nature of QIST education (physics, computer science, engineering, mathematics) and its relationship with psychosocial domains including student interest, self-efficacy, normative comparison, recognition, belonging, and self-concept. The intervention that informed this work is a summer program for precollege students at a research
Identity Formation of Precollege Women in Quantum Information Science and Technology
Publications The rapid increase in technological advancements in quantum information science and technology (QIST) necessitates a diverse workforce. The need for understanding how students, especially young women, develop QIST identity is an important consideration in career aspiration formation. With no existing framework for QIST identity development, this qualitative longitudinal exploratory case study combined aspects of identity frameworks in the QIST-adjacent fields of physics, computer science, engineering, and mathematics into a new framework to identify factors influencing QIST identity
Exploratory factor analysis of a precollege quantum information science and technology survey: exploring career aspiration formation and student interest
Publications The present study examined student outcomes from a quantum information science and technology (QIST) summer outreach program for U.S. secondary students. The program focused on foundational principles and skills from classical physics, quantum physics, and quantum computing. Students’ attitudes towards QIST learning and careers were measured through a pretest/posttest research design. Exploratory factor analysis was utilized to identify latent attitudinal themes, followed by comparisons of means to measure changes in these factors and analysis of covariance to assess whether these changes were
Outcomes From an International Year of Quantum K-12 Educational Leadership Conference
Publications This report chronicles an education leadership conference to promote precollege quantum information science and technology (QIST) education in U.S. high schools during the International Year of Quantum Science and Technology in 2025. The goal of the conference was to inform K-12 school leaders about quantum ideas, the research landscape in the field, QIST curricular development, and the need for QIST education and workforce preparation strategies to meet the needs of emerging quantum industries. The conference was attended by N=154 school district leaders, educational partners, and Stony Brook
QIST Attitude Survey
Instruments The present study examined student outcomes from a quantum information science and technology (QIST) summer outreach program for U.S. secondary students. The program focused on foundational principles and skills from classical physics, quantum physics, and quantum computing. Students’ attitudes towards QIST learning and careers were measured through a pretest/posttest research design. Exploratory factor analysis was utilized to identify latent attitudinal themes, followed by comparisons of means to measure changes in these factors and analysis of covariance to assess whether these changes were
QIST Concept Inventory
Instruments With the current growth in quantum information science and technology (QIST) industrial innovation, there is an increasing need to prepare precollege students for post-secondary QIST study and careers. This study examined high school student outcomes from a QIST outreach program held at both a research university and an informal science institution in the United States. The pre-/post-research design incorporated a newly developed QIST Integration Framework that included elements of science, technology, engineering, and mathematics (STEM) integration frameworks as well as conceptual change
Quantum information science and technology high school outreach: Conceptual progression for introducing principles and programming skills
Curricular Materials National data have shown the need to expand and diversify the talent pool of the quantum technologies workforce. This article describes a newly designed 25-h summer quantum information science and technology (QIST) program for high school students in grades 10–12; the goal is to advance physical science literacy and diversify the STEM pipeline through novel quantum science and quantum computing access and learning. This partnership between Stony Brook University and the New York Hall of Science was designed by quantum physicists and physics education researchers. This manuscript describes the
Academic and demographic predictors of high school student knowledge of classical physics, quantum physics, and quantum computing in university-based outreach
Publications With the current growth in quantum information science and technology (QIST) industrial innovation, there is an increasing need to prepare precollege students for post-secondary QIST study and careers. This study examined high school student outcomes from a QIST outreach program held at both a research university and an informal science institution in the United States. The pre-/post-research design incorporated a newly developed QIST Integration Framework that included elements of science, technology, engineering, and mathematics (STEM) integration frameworks as well as conceptual change
Data Science, AI, and You in Healthcare: Teaching Students About Medical Data Bias
Publications Data science and artificial intelligence (AI) are poised to upend the way healthcare is delivered. But what happens when AI is trained on medical data that doesn’t reflect the population? A new semester-long course teaches high school students how embedded bias in machine learning affects healthcare discussions and decisions. The goals of the Data Science, AI, and You in Healthcare project include fostering community connections between educators, researchers, clinicians, and local stakeholders to prepare underrepresented students for STEM jobs—ultimately in fields where their background and
Supporting Middle School Students’ Understanding of Time-Series Data With Graph Comparisons
Publications After participating in an afterschool program where they used the Common Online Data Analysis Platform (CODAP) to study time-series data about infectious diseases, four middle school students were interviewed to determine how they understood features of and trends within these graphs. Our focus was on how students compared graphs. Students were readily able to compare cumulative/total infection rates among two countries with differently sized populations. It was more challenging for them to link a graph of yearly cases to the corresponding graph of cumulative cases. Students offered reasonable