Projects

This is a planning effort to explore future directions and innovations related to educational design in science, technology, engineering, and mathematics education in partnership with the International Society for Design and Development in Education. The planning activity will engage a core group of ISDDE principals in the articulation and examination of design processes for the Transforming STEM Learning program at NSF with a goal of developing an agenda for further discussion and research conceptualization.

In this project, over 500 elementary education majors will team with engineering majors to teach engineering design to over 1,600 students from underrepresented groups. These standards-based lessons will emphasize student questioning, constructive student-to-student interactions, and engineering design processes, and they will be tailored to build from students' interests and strengths.

This project is conducting repeated randomized control trials of an approach to high school geometry that utilizes Dynamic Geometry (DG) software and supporting instructional materials to supplement ordinary instructional practices. It compares effects of that intervention with standard instruction that does not make use of computer drawing tools.

This project will investigate how complex systems concepts supported by innovative curricular resources, technology applications and a comprehensive research and development structure can assist student learning in the domain of biology by providing a unifying theme across scales of time and space. The project seeks to address four areas of critical need in STEM education: biological sciences, complex systems, computational modeling, and equal access for all.

Twelve fifth and sixth grade science teacher specialists and their students in a high needs district in Ohio are engaged in a design-based research project within a three-year professional development effort with faculty in several departments at the University of Cincinnati to study how the engineering design process can be used effectively as a pedagogical strategy in science instruction to improve student interest, learning and skill development.

This project represents a new approach to quality assessment of K-12 science and engineering learning experiences. By updating and expanding the Dimensions of Success (DoS) observation tool initially established for informal science learning settings to middle school science and engineering classrooms (DoS-MSSE), the project will create and implement a sustainable and scalable system of support for teachers who are learning how to implement the Next Generation Science Standards (NGSS) Framework for K-12 effectively and equitably.

This project helps teachers learn to use NSDL resources in ways that meaningfully affect their practice in STEM content areas while increasing their skills as designers of learning activities. The objectives of this three-year project are to: design and implement a teacher development model and STEM content development model; contribute teacher-designed learning activities to NSDL; and use evaluation and research to measure impact on teaching.

This project is focused on creating, testing, refining, and studying a computer-based, individualized, interactive learning system for intermediate/middle school students or by teachers in classrooms. This learning system is called Individualized Dynamic Geometry Instruction and will contain four instructional modules in geometry and measurement that reflect the recommendations of the Common Core State Standards.

SmartGraphs activities run in a web browser; there is no software to download or install. SmartGraphs allows students to interact with on-screen graphs to learn about linear equations, the motion of objects, population dynamics, global warming, or other STEM topics that use scatter plots or line graphs. Teachers and students may also use and share existing activities, which are released under a Creative Commons license (see http://www.concord.org/projects/smartgraphs#curriculum).

This project uses a new theoretical framework that specifies criteria for developing scientific thinking skills that include the value that people place on scientific aims, the cognitive engagement needed to evaluate scientific claims, and the scientific skills that will enable one to arrive at the best supported explanation of a scientific phenomenon. The project will work with high school biology teachers to investigate their own understanding of scientific thinking, how it can be improved through professional development, and how this improvement can translate into practice to support student learning.

This project addresses the need for a computationally-enabled STEM workforce by equipping teachers with the skills necessary to prepare students for future endeavors as computationally-enabled scientists and citizens, and by investigating the most effective ways to provide this instruction to teachers. The project also addresses the immediate challenge presented by NGSS to prepare middle school science teachers to implement rich computational thinking experiences within science classes.

This project uses neural and behavioral measures of learning as a basis for making improvements to an immersive high school course that trains students in flexible spatial cognition and data analysis. Tracking students into college, the project measures long-term effects of improved spatial cognition resulting from the modified geospatial course curriculum.

With recent advances in artificial intelligence (AI), the United States needs to develop a diverse workforce with strong computational skills and the knowledge and capability to work with AI. Recent studies have raised questions about the extent to which youth are aware of AI and its application in industries of the future that may limit their interest in pursuing learning that lead toward careers in these industries. To address this challenge, learning trajectories (LTs) will be developed and researched for AI concepts that are challenging for middle and high school students. The project will design and pilot test learning activities and assessments targeting these concepts based on the LTs, offer teacher professional development on the LTs and related activities, and research the effectiveness of the LT-based activities when implemented by teachers during the regular school day.

This purpose of this project is to develop and validate a range of assessments with a focus on academic preparedness for higher education. The team will explore relevant qualities of assessments such as their differential predictive validity to ensure they are appropriate for underrepresented groups, the optimal grade level to begin assessing readiness, and measures that are most appropriate for predicting STEM-specific readiness.

This project will develop a set of educative resources, assessment tools and teacher professional development (PD) activities to support teachers in developing knowledge of CS standards and improving their instructional pedagogy. Teachers will learn to use formative assessments related to these standards to determine student understanding. Improved CS instruction that is responsive to the needs and challenges of the student population is particularly critical in school districts with a large population of students who are typically underserved and under-represented in computer science. The project, a partnership between SRI International and the Milwaukee Public School District, will provide professional development experiences tied to standards instead of a specific curriculum in order to support diverse teachers teaching a variety of computer science curricula using different programming languages. Teachers will receive training via a combination of virtual webinars and face-to-face instruction. Teachers will have opportunities to evaluate their own teaching and measure their students' progress towards the standards.

This project contributes to advancing knowledge on STEM education focusing on societal challenges by harnessing the convergence of STEM subjects, including data science and computer science, to empower a minoritized student group—multilingual middle-school learners.

This project will study five elementary STEM schools from across the U.S. that are inclusive of students from underrepresented groups in order to determine what defines these schools and will use an iterative case study replication design to study the design and implementation of five exemplary eSTEM schools with the goal of developing a logic model that highlights the commonalities in core components and target outcomes across the schools, despite the different school contexts.

Artificial intelligence (AI) is transforming numerous industries and catalyzing scientific discoveries and engineering innovations. To prepare for an AI-ready workforce, young people must be introduced to core AI concepts and practices early to develop fundamental understandings and productive attitudes. Neural networks, a key approach in AI development, have been introduced to secondary students using various approaches. However, more work is needed to address the interpretability of neural networks and human-machine collaboration in the development process. This exploratory project will develop and test a digital learning tool for secondary students to learn how to interpret neural networks and collaborate with the algorithm to improve AI systems. The learning tool will allow students to interact with complex concepts visually and dynamically. It will also leverage students’ knowledge and intuition of natural languages by contextualizing neural networks in natural language processing systems.

The focus of this project is the design of learning experiences in different high school science courses to help students gain experience in computational thinking. The project uses a partnership between two universities and school district to develop and refine the units as a collaboration between researchers, teachers, and school leaders. The goal is to help all students have opportunities to learn about computational thinking in multiple science courses.

This project will study a model of pre-service teacher preparation that is designed to to increase teachers' and students' skills and confidence with computational thinking and develop teachers as designers of inclusive learning environments to promote computational thinking. The project will engage elementary (grades K-5) pre-service teachers (who are concurrently involved in school-based teacher preparation programs) as facilitators in an existing family technology program called Family Creative Learning (FCL).

This project will create a portable training system that can be easily deployed in middle grades (5th-7th grade) as a prototype for increasing students' spatial reasoning skills. The project will study gender differences in spatial reasoning and examine how learning experiences can be designed to develop spatial skills using Minecraft as a platform.

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

This project investigated the professional development needed to make teachers comfortable teaching with multi-user simulations and communications that students use every day. The enactment with OpenSim (an open source, modular, expandable platform used to create simulated 3D spaces with customizable terrain, weather and physics) also provides an opportunity to demonstrate the level of planning and preparation that go into fashioning modules with all selected cyber-enabled cognitive tools framed by constructivism, such as GoogleEarth and Biologica.

This project explores the potential of information and communications technologies (ICT) as cognitive tools for engaging students in scientific inquiry and for enhancing teacher learning. A comprehensive professional development program of over 240 hours, along with follow-up is used to determine how teachers can be supported to use ICT tools effectively in classroom instruction to create meaningful learning experiences for students, reduce the gap between formal and informal learning, and improve student learning outcomes.