This study can provide a basis for design research focused on developing effective materials and programs for flipped instruction in secondary mathematics, which is already occurring at an increasing rate, but it is not yet informed by empirical evidence. This project will result in a framework for flipped instruction robust enough to be useful at a variety of grade levels and contexts. The framework will provide a better understanding of the relationships among various implementations of flipped instruction and student learning.
Projects
Colorado’s PhET project and Stanford’s AAALab will develop and study learning from interactive simulations designed for middle school science classrooms. Products will include 35 interactive sims with related support materials freely available from the PhET website; new technologies to collect real-time data on student use of sims; and guidelines for the development and use of sims for this age population. The team will also publish research on how students learn from sims.
The project will develop a teacher professional learning (PL) model that focuses on middle-school biological sciences in addressing real world problems. Systems thinking is central to understanding biology systems. Game design has been shown to help develop systems thinking in teachers and students. Students will participate in PL to illustrate the value of distributed expertise by sharing their knowledge of computer. Teachers will adapt their existing curriculum and will co-design games with students to experience participatory practices.
This project will examine the impact on mathematics learning of an initiative to provide kindergartners in an urban school district with personal tablet devices that include free, widely available digital mathematics resources. The research questions examine how teachers use table-based mathematics resources during instruction, how caregivers and children engage with table-based mathematics resources, and how the resources then relate to kindergartners mathematics learning.
This project is developing a two-year, intensive professional development model to build middle-grades mathematics teachers’ knowledge and implementation of formative assessment. Using a combination of institutes, classroom practice, and ongoing support through professional learning communities and web-based resources, this model helps teachers internalize and integrate a comprehensive understanding of formative assessment into daily practice.
The project will provide the opportunity for upper elementary students to learn computer science and build strong collaboration practices. Leveraging the promise of virtual learning companions, the project will collect datasets of collaborative learning for computer science in diverse upper elementary school classrooms; design, develop, and iteratively refine its intelligent virtual learning companions; and generate research findings and evidence about how children collaborate in computer science learning and how best to support their collaboration with intelligent virtual learning companions.
This project will develop and study a curriculum and app that support computational thinking (CT) in a high school biology unit. The project will engage students in rich data practices by gathering, manipulating, analyzing, simulating, and visualizing data of bioelectrical signals from neural sensors, and in so doing give the students opportunities to apply CT principles.
This project will convene stakeholders in STEM and early childhood education to discuss better integration of STEM in the early grades. PIs will begin with a phase of background research to surface critical issues in teaching and learning in early childhood education and STEM. A number of reports will be produced including commissioned papers, vision papers, and a forum synthesis report.
This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDataScience (LogicDS) curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students. The strategy behind this curriculum development for data science explores the utility of emphasizing how the foundations of data science in computing, mathematics, and statistics are unified by mathematical logic. The project is studying the impacts of the new curriculum on students’ learning of computing, mathematics, and statistics.
This project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDataScience (LogicDS) curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students. The strategy behind this curriculum development for data science explores the utility of emphasizing how the foundations of data science in computing, mathematics, and statistics are unified by mathematical logic. The project is studying the impacts of the new curriculum on students’ learning of computing, mathematics, and statistics.
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.
This project is designing digital games for middle school students that will help them prepare for success in Algebra. The games are intended to help students gain a deep understanding of measurement and fraction concepts that are critical as they begin to learn algebra. The project studies students' development of fraction concepts, their engagement in the tasks, and the use of hand-held devices as a useful platform for games.
The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.
The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.
This project addresses biology teachers and students at the high school level, responding to the exponential increases occurring in biology knowledge today and the need for students to understand the experimental basis behind biology concepts. The project studies the feasibility of engaging students in an environment where they can learn firsthand how science knowledge develops in the fields of bioinformatics and DNA science by performing collaborative, simulated experiments to solve open-ended problems.
This project examines the design principles by which computer-based science learning experiences for students designed for classroom use can be integrated into virtual worlds that leverage students' learning of science in an informal and collaborative online environment. GeniVille is the integration of Geniverse, a education based game that develops middle school students' understanding of genetics with Whyville, an educational virtual word in which students can engage in a wide variety of science activities and games.
This project will develop and test a new instructional approach that integrates a data analysis tool with Earth systems models in a suite of online curriculum modules for middle and high school Earth science students. The modules will facilitate development of rich conceptual understandings related to the system science of natural hazards and their impacts.
This project will create two curriculum units that use sophisticated simulations designed for students in secondary schools that integrate the study of the tectonic system and the rock genesis system. The project seeks to overcome the more typical approaches taken in earth science classrooms where such geologic processes are treated as discrete and highly predictable, rather than intertwined and dynamic.
This project will develop and research the transformational potential of geodynamic models embedded in learning progression-informed online curricula modules for middle school teaching and learning of Earth science. The primary goal of the project is to conduct design-based research to study the development of model-based curriculum modules, assessment instruments, and professional development materials for supporting student learning of (1) plate tectonics and related Earth processes, (2) modeling practices, and (3) uncertainty-infused argumentation practices.
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 develop and test a digital monitoring tool that will enable teachers to track student learning within a digital learning system and quickly adjust classroom instructional strategies to facilitate learning. The tool will be developed for use with an existing digital curriculum for high school genetics.
This project is developing modules for middle school and high school students in Earth and Space Science classes, testing the hypothesis that students who use computational models, analyze real-world data, and engage in building scientific reasoning and argumentation skills are better able to understand Earth science core ideas and how humans impact Earth's systems. The resulting online curriculum modules and teacher guides provide exciting examples of next generation Earth science teaching and learning materials.
This project will research, design, and develop adaptive accessibility features for interactive science simulations. The proposed research will lay the foundation that advances the accessibility of complex interactives for learning and contribute to solutions to address the significant disparity in science achievement between students with and without disabilities.
This workshop addresses the need to connect a range of experts involved in game development and research to develop and disseminate best practices. The workshop will also establish a network hub where educators and developers can find tools for implementing game-based curricula. The project will bring together approximately 100 early contributors, including researchers, teachers, game designers and publishers, to inform the next phases of research, development, and production in the field of games and learning.
The goal of this project is to improve the implementation of rigorous instructional materials in middle-grades mathematics at scale through a system of practical measures and routines for collecting and using data that both assesses and supports implementation.