This project is investigating the learning that can take place when elementary school students are directly involved in the collection, sense-making, and analysis of real, personally-meaningful data sets. The hypotheses of this work are that by organizing elementary statistics instruction around the study of physical activities, students will have greater personal engagement in data analysis processes and that students will also develop more robust understandings of statistical ideas.
Projects
This project investigates and expands teachers' learning to notice in two important ways. First, the research expands beyond teachers' noticing of written and verbal thinking to attend to gesture and other aspects of embodied and multimodal thinking. Second, the project focuses on algebraic thinking and seeks specifically to understand how teacher noticing relates to the content of algebra. Bringing together multimodal thinking and the mathematical ideas in algebra has the potential to support teachers in providing broader access to algebraic thinking for more students.
This project will investigate the potential benefits of interactive, dynamic visualization technologies in supporting science learning for middle school students, including ELLs. This project will identify design principles for developing such technology, develop additional ways to support student learning, and provide guidelines for professional development that can assist teachers in better serving linguistically diverse students. The project has the potential to transform traditional science instruction for all students, and to broaden their participation in science.
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.
The project at Spelman College includes activities that develop computational thinking and encourage middle school, African-American girls to consider careers in computer science. Over a three-year period, the girls attend summer camp sessions of two weeks where they learn to design interactive games. Experts in Computational Algorithmic Thinking as well as undergraduate, computer science majors at Spelman College guide the middle-school students in their design of games and exploration of related STEM careers.
Doing science requires that students learn to create evidence-based arguments (EBAs), defined as claims connected to supporting evidence via premises. In this CAREER project, I investigate how argumentation ability can be enhanced among middle school students. The project entails theoretical work, instructional design, and empirical work, and involves 3 middle schools in northern Utah and southern Idaho.
This project addresses a gap between vision and implementation of state science standards by designing a coordinated suite of instructional, assessment and teacher professional learning materials that attempt to enact the vision behind the Next Generation Science Standards. The study focuses on using state-of-the-art technology to create an 8-week long, immersive, life science field experience organized around three investigations.
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.
This project implemented a facets-of-thinking perspective to design tools and practices to improve high school chemistry teachers' formative assessment practices. Goals are to identify and develop clusters of facets related to key chemistry concepts; develop assessment items; enhance the assessment system for administering items, reporting results, and providing teacher resource materials; develop teacher professional development and resource materials; and examine whether student learning in chemistry improves in classes that incorporate a facet-based assessment system.
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 project addresses the relatively poor mathematics achievement of students who are not proficient in English. It includes research on how English language learners in beginning algebra classes solve math word problems with different text characteristics. The results of this research inform the development of technology-based resources to support ELLs’ ability to learn mathematics through instruction in English, including tutorials in math vocabulary, integrated glossaries, and interactive assistance with forming equations from word problem text.
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.
This project is studying effects of linguistically sensitive science instructional materials by translating, enhancing, and evaluating culturally relevant and linguistically appropriate Collaborative Online Projects (originally written in Spanish) for middle school Spanish-speaking English Language Learners.
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?"
The goal of this project is to study how the integration of an online curriculum, scientist mentoring of students, and professional development for both teachers and scientist mentors can improve student outcomes. In this project, teachers and scientist mentors will engage collaboratively in a professional development module which focuses on photosynthesis and cellular respiration and is an example of a student-teacher-scientist partnership. Teachers will use their training to teach the curriculum to their students with students receiving mentoring from the scientists through an online platform. Evaluation will examine whether this curriculum, professional development, and mentoring by scientists will improve student achievement on science content and attitudes toward scientists. The project will use mixed-methods approaches to explore potential factors underlying efficacy differences between in-person and online professional development. An important component of this project is comparing in-person professional development to an online delivery of professional development, which can be more cost-effective and accessible by teachers, especially those in rural and underserved areas.
The project continues and completes the development and refinement of an electronic Test of Early Numeracy (e-TEN) in English and Spanish, focused on number and operations for young learners. The assessment incorporates a learning trajectory approach that describes students' development of the understanding of numbers. The electronic assessment allows for the test to adapt to students' responses and incorporate games increasing children's engagement with the tasks.
This project will design, develop, and test an online collaborative learning environment where students and teachers solve mathematical problems and communicate their thinking. This online collaborative learning environment will help increase the quality and quantity of math discourse among mathematics teachers and students. The researchers will also examine the impact of the online collaborative learning environment on students' significant mathematical discourse and achievement.
This project will develop a cross-platform mathematics tutoring program that addresses the problem-solving skill difficulties of second- and third-grade students with learning disabilities in mathematics (LDM). COMPS-A is a computer-generated instructional program focusing on additive word problem solving; it will provide tutoring specifically tailored to each individual student's learning profile in real time.
This project will design, develop, and examine the learning outcomes of a new curriculum unit for biology that embodies the conceptual framework of the Next Generation Science Standards (NGSS). The curriculum materials to be developed by this project will focus on two areas of study that are central to the life sciences: genetics and the processes of evolution by natural selection.
This project is developing, validating, and evaluating computer modeling-based formative assessments to improve student learning in chemistry. Activities include developing a series of computer models related to key topics in high school chemistry, developing questions to probe student understanding of matter and energy, identifying teaching and learning resources appropriate for different levels of student conceptual understanding, and developing professional development resources on integrating formative assessments into high school chemistry courses.
This project is developing Earth and Space Science multimedia educative curriculum materials (MECMs) and a system to facilitate teachers' learning and beliefs of scientific argumentation. The project is investigating the impact of the MECMs on teachers' beliefs about scientific argumentation and their related pedagogical content knowledge. The overarching research question focuses on how can multimedia educative curriculum materials provide support to middle school science teachers in implementing standards for constructing and critiquing arguments.
This five-year project investigates how to provide continuous assessment and feedback to guide students' understanding during science inquiry-learning experiences, as well as detailed guidance to teachers and administrators through a technology-enhanced system. The assessment system integrates validated automated scorings for students' written responses to open-ended assessment items into the "Web-based Inquiry Science Environment" (WISE) program.
This project will develop a cloud-based platform that enables high school students, teachers, and scientists to conduct original neuroscience research in school classrooms.
This Culturally Responsive Indigenous Science project seeks to advance this knowledge base through research and by catalyzing new approaches to Indigenous science, technology, engineering, and mathematics (ISTEM) learning. Using an ISTEM focused model, the project will develop, test, and implement a culturally responsive land-based curriculum that integrates Western science, multimodal technologies and digital tools, and Native American tribal knowledge, cultures and languages to investigate and address local environmental science and sustainability concerns.
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.
