Projects

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.

The goals of STEM instruction are to educate a populace that is scientifically and mathematically literate and who can solve real-world problems by applying science and mathematics. This exploratory project is designed to study the effectiveness of professional development focused on the integration of mathematics and science instruction, mediated by technology tools, to improve middle school teachers' ability to teach scientific inquiry and mathematical problem solving.

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.

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.

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.

This project is developing a system for producing automated professional mentoring while students play computer games based on STEM professions. The project explores a specific hypothesis about STEM mentoring: A sociocultural model as the basis of an automated tutoring system can provide a computational model of participation in a community of practice, which produces effective professional feedback from nonplayercharacters in a STEM learning game.

This project operationalizes research in number, operation, and early algebra. It builds on the paradigm of Dynamic Geometry (the interactive and continuous manipulation of geometric shapes and constructions) with a new technological paradigm, Dynamic Number, centered on the direct manipulation of numerical representations and constructions. Using The Geometer’s Sketchpad as a starting point, KCP Technologies is developing new software tools to deepen students’ conceptions of number and early algebra in grades 2–8.

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 focuses on the challenge of using assessment of relevant STEM content to improve K-12 teaching and learning. CLEAR takes advantage of new technologies and research findings to investigate ways that science assessments can both capture and contribute to cumulative, integrated learning of standards-based concepts in middle school courses. The project will research new forms of assessment that document students' accumulation of knowledge and also serve as learning events.

This project is working to create a cyber infrastructure that supports development and documentation of additional interventions for teacher professional development using the video collection, as well as other videos that might be added in the future by teacher educators or researchers, including those working in other STEM domains.

This exploratory project seeks to understand the role that a network of tablet computers may play in elementary and middle school math and science classrooms. The project uses classroom observations, student interviews, teacher interviews, and student artifacts to identify the advantages and disadvantages of these resources, to understand what challenges and benefits they offer to teachers, and to offer recommendations for future hardware, software, and curriculum development.

This project is focusing on the redesign of popular commercial video games to support students’ understanding of Newtonian mechanics. In support of this goal, SURGE develops and implements design principles for game-based learning environments, integrating research on conceptual change, cognitive processing-based design, and socio-cognitive scripting. These enhanced games bridge the gap between student learning in non-formal game environments and the formalized knowledge structures learned in school by leveraging and integrating the strengths of each.

This project uses computer-based models of interacting organisms and their environments to support a learning progression leading to an appreciation of the theory of evolution and evidence that supports it. The project has created a research-based curriculum centered on progressively complex models that exhibit emergent behavior. The project will help improve the teaching of complex scientific topics and provide a reliable means of directly assessing students' conceptual understanding and inquiry skills.

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 investigates the potential of online role-playing games for scientific literacy through the iterative design and research of Saving Lake Wingra, an online role-playing game around a controversial development project in an urban area. Saving Lake Wingra positions players as ecologists, department of natural resources officials, or journalists investigating a rash of health problems at a local lake, and then creating and debating solutions.

The purpose of this project is to create a research-based model of how students with learning disabilities (LDs) develop multiplicative reasoning via reform-oriented pedagogy; convert the model into a computer system that dynamically models every students’ evolving conceptions and recommends tasks to promote their advancement to higher level, standard-based multiplicative structures and operations; and study how this tool impacts student outcomes.

This project is developing an 8th-grade assessment for proportional reasoning from a cognitive diagnosis model (CDM) framework. CDMs are psychometric models developed specifically for diagnosing the presence or absence of fine-grained skills or processes required in solving problems on a test. Assessments based on CDMs can provide information deemed more diagnostic and descriptive, and therefore, more relevant in applied instructional settings.

This project studies teaching practices in a year-long high school algebra course that integrates hand-held and other electronic devices. Of particular interest is how these technologies can support learners' capacity to efficiently and effectively draw on the distributed intelligences that technical and social networks make available. The investigation focuses on collaborative learning tasks centered on collective mathematical objects, such as functions, expressions, and coordinates that participants in a group must jointly manipulate through networked computers.

The project makes use of technology to create timely, valid, and actionable reports to teachers by analyzing assessments and logs of student actions generated in the course of using computer-based curriculum materials. The reports allow teachers to make data-based decisions about alternative teaching strategies. The technology supports student collaborations and the assignment of different learning activities to groups, an essential function needed for universal design for learning (UDL).

EDC is developing a high school capstone course in linear algebra. Student resources contain a core semester that develops two- and three-dimensional geometry using vectors and that treats matrix algebra and its applications to geometry; a semester of material that completes a typical undergraduate course (exploring bases, determinants and eigentheory); and 5 stand-alone modules that develop applications of this core to mathematics, engineering, science, and other STEM fields.

CAST, the University of Michigan, and EDC are collaborating to create heuristics for universally designed middle and high school science materials; to build an open-source UDL Inquiry Science System (ISS) that enables science curricula to be transformed into digitally supported versions that incorporate UDL features, to use the ISS to produce four UDL exemplars from tested instructional materials, and to evaluate the benefits of these exemplars for grades-5–12 students with and without learning disabilities.

This project develops mixed-initiative dialog and speech recognition technologies to encourage students to speak and reason about science concepts. It is part of a larger collaboration to help fourth and fifth grade students who are not achieving their potential in high quality inquiry-based programs. The larger collaboration develops and evaluates a computer program, MyST, to interactively engage students in spoken tutorial dialogs of four science investigations to reinforce and extend their understanding of science concepts.

This project improves science learning by students who are not achieving their potential in high quality inquiry-based programs. The project aims to achieve its goal by developing a computer program, My Science Tutor, which students will use immediately following classroom science investigations to reinforce and extend concepts embedded in the investigations. The program uses a lifelike animated character to engage students in guided learning activities and conversational tutorial dialogs that stimulate scientific reasoning.

This project is developing and testing a website, software application, and supplemental instructional materials that use publicly accessible genomics data to foster scientific inquiry among high schools students. Outcomes for students and teachers include developing knowledge, skills, and understandings related to genetic inheritance; data investigation and analysis; the process of scientific inquiry; and collaboration.

This project employs sensing technologies to help transform students' physical actions during play into a set of symbolic (computer) representations in a physics simulation and to engage the children in a developmentally appropriate and powerful form of scientific modeling. The students are in grades K–1 at UCLA's elementary school, and the intervention is based on the existing content unit on Force and Motion.