Youth Motivation and Interests in STEM

National Science Foundation - Innovative Technology Experiences for Students and Teachers (ITEST) Program Solicitation

ITEST is a program that promotes PreK-12 student interests and capacities to participate in the science, technology, engineering, and mathematics (STEM) and information and communications technology (ICT) workforce of the future. To achieve this objective, ITEST supports the development, implementation, and selective spread of innovative strategies for engaging students in experiences that: 


NSTA Connected Science Learning Call: STEM Learning Through Citizen Science Experiences

NSTA's journal, "Connected Science Learning"  seeks contributions for its Sixth Issue (to be published in spring 2018): STEM Learning Through Citizen Science Experiences

Contributions are due September 15, 2017


NSF Advancing Informal STEM Learning (AISL) Program Solicitation

The Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to and evidence-based understanding of the design and development of STEM learning opportunities for the public in informal environments; provide multiple pathways for broadening access to and engagement in STEM learning experiences; advance innovative research on and assessment of STEM learning in informal environments; and engage the public of all ages in learning STEM in informal environments.


NSF Discovery Research PreK-12 (DRK-12) Solicitation

The Discovery Research PreK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering, mathematics and computer science (STEM) by preK-12 students and teachers, through research and development of STEM education innovations and approaches. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.


NSF EHR Core Research (ECR) Solicitation

EHR Core Research (ECR) Reviewers Needed: If you are interested in reviewing ECR proposals please submit a brief CV to

EHR Core Research (ECR) Fundamental Research in Science, Technology, Engineering and Mathematics (STEM) Education


TeachEngineering Curriculum for K-12 Educators

TeachEngineering provides free standards-aligned engineering lessons and hands-on activities for use in science, engineering, and math classrooms.


The Emerging Role of Science Teachers in Fostering Stem Career Awareness

Understanding how high school students become aware of STEM career options, how educators can help students translate awareness into pursuit of STEM careers, and how to provide students with the support and skills they need to succeed, are crucial elements in ensuring the future of our STEM workforce. One important factor is the role that high school science teachers can play in fostering STEM career interest and awareness. As part of our study, we conducted interviews and focus groups with over 70 high school science teachers and other science and career education experts.


Bioinformatics Education in High School: Implications for Promoting Science, Technology, Engineering, and Mathematics Careers

We investigated the effects of our Bio-ITEST teacher professional development model and bioinformatics curricula on cognitive traits (awareness, engagement, self-efficacy, and relevance) in high school teachers and students that are known to accompany a developing interest in science, technology, engineering, and mathematics (STEM) careers.


STEM Media That Matters: Summative Evaluation of Youth Radio’s Innovation Lab

To explore the role and impact of Youth Radio’s NEXT: The Innovation Lab, Rockman et al, an independent research and evaluation organization, conducted an external evaluation of the project.


Concord Consortium Data Science Education Webinar

Join ITEST colleagues at the Concord Consortium on Tuesday, May 30, as they host Cliff Konold of the Scientific Reasoning Research Institute for a 2-hour webinar about data science education. Cliff will lead a discussion of the article “Modeling as a core component of structuring data” (Konold, Finzer, & Kreetong, in press), which describes research on student understanding of and ability to organize complex data for analysis.