Computational and algorithmic thinking are new basic skills for the 21st century. Unfortunately few K-12 schools in the United States offer significant courses that address learning these skills. However many schools do offer robotics courses. These courses can incorporate computational thinking instruction but frequently do not. This research project aims to address this problem by developing a comprehensive set of resources designed to address teacher preparation, course content, and access to resources.
Projects
This Engineering Teacher Pedagogy project implements and assesses the promise of an extended professional development model coupled with curriculum enactment to develop teacher pedagogical skills for integrating engineering design into high school biology and technology education classrooms.
In this project, researchers will collaborate to enhance understanding of influences on learning, and improve teaching and learning in high school and middle school STEM classes. They will leverage the latest tools for data processing and many different streams of data that can be collected in technology-rich classrooms to (1) identify classroom factors that affect learning and (2) explore how to use that data to automatically track development of students' understanding and capabilities over time.
This project will develop a modified virtual world and accompanying curriculum for middle school students to help them learn to more deeply understand ecosystems patterns and the strengths and limitations of experimentation in ecosystems science. The project will build upon a computer world called EcoMUVE, a Multi-User Virtual Environment or MUVE, and will develop ways for students to conduct experiments within the virtual world and to see the results of those experiments.
This project seeks to find ways to make the measurement sciences more useful to the production of intellective competence in diverse students of the STEM disciplines. A Study Group on Diversity, Equity and Excellence in Achievement and Assessment in STEM Education will be established to address a set of issues posed as critical to the future of assessment for education and will undertake a series of activities culminating in the production of a report.
This project builds on prior efforts to create teaching resources for high-school Advanced Placement Statistics teachers to use an open source statistics programming language called "R" in their classrooms. The project brings together datasets from a variety of STEM domains, and will develop exercises and assessments to teach students how to program in R and learn the underlying statistics concepts.
The Graphing Research on Inquiry with Data in Science (GRIDS) project will investigate strategies to improve middle school students' science learning by focusing on student ability to interpret and use graphs. GRIDS will undertake a comprehensive program to address the need for improved graph comprehension. The project will create, study, and disseminate technology-based assessments, technologies that aid graph interpretation, instructional designs, professional development, and learning materials.
This project will (1) develop and test a modeling tool and accompanying instructional materials, (2) explore how to support students in building and using models to explain and predict phenomena across a range of disciplines, and (3) document the sophistication of understanding of disciplinary core ideas that students develop when building and using models in grades 6-12.
SciMath-DLL is an innovative preschool professional development (PD) model that integrates supports for dual language learners (DLLs) with high quality science and mathematics instructional offerings. It engages teachers with workshops, classroom-based coaching, and professional learning communities. Based on initial evidence of promise, the SciMath-DLL project will expand PD offerings to include web-based materials.
This study examines non-cognitive factors, mindsets, cognitive factors, and strategies for learning mathematics, in the context of a MOOC combined with classroom instruction for middle grades students in mathematics. No previous mindset study has researched the impact of mindset messages within mathematics, and the proposed study will add important knowledge to this field.
This project will convene a panel of experts in government, industry and academia to raise and discuss emerging concerns for human subjects' protections in the digital age. This project will support scholarly discussion on human subjects' protections in the digital age with implications for funding agencies, schools, and those who work with human subjects in a variety of environments.
This project aims to engage students in meaningful scientific data collection, analysis, visualization, modeling, and interpretation. It targets grades 9-12 science instruction. The proposed research poses the question "How do learners conceive of and interact with empirical data, particularly when it has a hierarchical structure in which parameters and results are at one level and raw data at another?"
This project creates, tests and revises two-six week prototypical modules for middle school technology education classes, using the unifying themes and important social contexts of food and water. The modules employ engineering design as the core pedagogy and integrate content and practices from the standards for college and career readiness.
This exploratory project helps high school students learn complex Global Climate Change (GCC) science by making it personally relevant and understandable. CHANGE creates a prototype curriculum, and integrates it into elective Marine Sciences high school courses. Research will examine the project's impact on student learning of climate science, student attitude toward science, and teacher instruction of climate science.
The objective of this study is to examine the impact of ITEAMS intervention strategies on student persistence in high school STEM course-taking and career expectations, and the value that students place on STEM careers.
This project explores the potential for enhancing students' interest and ability in STEM disciplines by broadening fourth grade students' understanding and interest in the spatial perspectives inherent in geography and other science disciplines. The project tests a set of hypotheses that posit that the use of GIS in the classroom results in a measureable improvement in students' spatial reasoning and motivation.
This project is designing and conducting a crowd-sourced open innovation challenge to young people of ages 13-18 to mitigate levels of greenhouse gases. The goal of the project is to explore the extent to which the challenge will successfully attract, engage and motivate teen participants to conduct sustained and meaningful scientific inquiry across science, technology and engineering disciplines.
This project contributes to the small research base by exploring the validity of Technology-Enhanced Items (TEIs) in the context of elementary geometry. The project addresses three research questions: 1) To what extent are TEIs a valid measurement of geometry standards in the elementary grades?; 2) To what extent do TEIs provide an improved measurement compared to SR items?; and 3) What are the general characteristics of mathematics standards that might be better measured through TEIs?
The development of six curricular projects that integrate mathematics based on the Common Core Mathematics Standards with science concepts from the Next Generation Science Standards combined with an engineering design pedagogy is the focus of this CAREER project.
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.
This workshop convenes leading practitioners and scholars of innovation to collectively consider how education in the US might be reconfigured to both support and teach innovation as a core curriculum mission, with a focus on STEM education. Workshop participants identify and articulate strategies for creating and sustaining learning environments that promise the development of innovative thinking skills, behaviors and dispositions and that reward students, faculty and administrator for practicing and tuning these skills.
The goal of the grant is to establish a culture of inquiry with all partners in order to develop interdiciplinary, authentic STEM learning environments. Design-based research provides iterative cycles of implementation to explore and refine the approach as a transformative model for STEM programs. The model supports a sustainable approach by building the capacity of schools to focus on design issues related to content, pedagogy, and leadership.
This project supports the development of technological fluency and understanding of STEM concepts through the implementation of design collaboratives that use eCrafting Collabs as the medium within which to work with middle and high school students, parents and the community. The examine how youth at ages 10-16 and families in schools, clubs, museums and community groups learn together how to create e-textile artifacts that incorporate embedded computers, sensors and actuators.
As part of a SAVI, researchers from the U.S. and from Finland will collaborate on investigating the relationships between engagement and learning in STEM transmedia games. The project involves two intensive, 5 day workshops to identify new measurement instruments to be integrated into each other's research and development work. The major research question is to what degree learners in the two cultures respond similarly or differently to the STEM learning games.
The goal of this Transforming STEM Learning project is to comprehensively describe models of 20 inclusive STEM high schools in five states (California, New Mexico, New York, Ohio, and Texas), measure the factors that affect their implementation; and examine the relationships between these, the model components, and a range of student outcomes. The project is grounded in theoretical frameworks and research related to learning conditions and fidelity of implementation.
