Projects

This project will develop and research AquaLab 9, an online video game to engage middle school students in learning science research practices in life sciences content. By engaging in science research practices, students will develop intellectual skills that link directly to many state academic standards and are important for developing STEM literacy and pursuing STEM career pathways.

This project will support students to develop evidence-based explanations for the impact of disturbances on complex systems. The project will focus on middle school environmental science disciplinary core ideas in life, Earth, and physical sciences and serve as a starting point for supporting students to coordinate different sources of information to parse out the direct and indirect effects of disturbances on components of a system and to examine the interconnections between components to predict whether a system will return to equilibrium (resilience) or the system will change into a new state (hysteresis).

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.

This project is developing a model for integrating best practices in technology-supported instructional design and formative assessment for genetics instruction in upper elementary, middle and high school. Using the Web-based Inquiry Science Environment platform, the project is developing school curriculum that scaffold and model scientific practices, enable students to interface with real-world problems, provide opportunities for students to make connections between visible phenomena and underlying genetic processes, and promote student monitoring and reflection on learning.

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 will develop an integrated, justice-oriented curriculum and a digital platform for teaching secondary students about data science in science and social studies classrooms. The platform will help students learn about data science using real-world data sets and problems. This interdisciplinary project will also help students meaningfully analyze real-world data sets, interpret social phenomena, and engage in social change.

This project is developing software and curriculum materials in which data generated by students playing computer games form the raw material for mathematics classroom activities. Students play a short video game, analyze the game data, conjecture improved strategies, and test their strategies in another round of the game.

The Data Games project has developed software and curriculum materials in which data generated by students playing computer games form the raw material for mathematics classroom activities. Students play a short video game, analyze the game data, develop improved strategies, and test their strategies in another round of the game.

CyberSTEM is developing and testing an integrated digital gaming network that spans homes, schools, and informal learning settings, offering a suite of digital games based on cutting-edge discoveries in the life sciences. The project asks if participation in CyberSTEM leads to increased learning in six areas: interest in science, conceptual knowledge, scientific reasoning, reflection on knowing, participating in science, and identifying as a scientist. The target audience includes youth in grades 6-9.

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.

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 will develop a cloud-based platform that enables high school students, teachers, and scientists to conduct original neuroscience research in school classrooms.

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 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 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 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 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 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.

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.

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.

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 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 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.