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.
Projects
This project is conducting repeated randomized control trials of an approach to high school geometry that utilizes Dynamic Geometry (DG) software and supporting instructional materials to supplement ordinary instructional practices. It compares effects of that intervention with standard instruction that does not make use of computer drawing tools.
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 is a full research and development project addressing challenge question: How can promising innovations be successfully implemented, sustained, and scaled in schools and districts? The promising innovation is the Science Teachers Learning from Lesson Analysis (STeLLA) professional development (PD) program, which supports 4th- and 5th-grade teachers in teaching concepts in biology (food webs), physical science (phase changes), and earth science (earth’s changing surface, weather).
This project is assessing the capacities needed by elementary teachers for productive use of mathematics curriculum materials. The project is guided by the assumption that well-designed curriculum programs have the potential to contribute to improvement in mathematics learning opportunities in K-12 classrooms. Yet, minimal research has examined the kind of knowledge and capacities necessary for teachers to use these resources productively. The project will undertake such research and develop tools to assess these capacities.
This project is using data from interviews with 160 K-12 students and 20 adults to describe common understandings and progressions of development for negative number concepts and operations. The project is motivated by the widely acknowledged finding that students have difficulty mastering key concepts and skills involved in work with integers.
This project draws from the expertise of a fully collaborative educator-scientist team to create learning progressions, curricular units and assessment instruments towards large scale research on the teaching and learning of climate change and impacts by 7-12th graders in primarily under-resourced schools. Products include eight week curricular units, IPCC-compliant simplified future scenarios, an online interface with guided predictive distribution modeling, and research results.
Geometry Assessments for Secondary Teachers (GAST) represents a collaborative partnership among faculty and staff at the University of Louisville, the University of Kentucky, Florida State University, Alpine Testing Solutions, and Horizon Research, Inc. to develop a knowledge framework and assessments for secondary mathematics teachers' geometry knowledge for teaching. The framework for the assessments will be designed to collect validity evidence for predicting effective geometry teaching and improving student achievement.
This project is developing and evaluating a test form that diagnoses teachers' capacities in two closely connected cases of reasoning about multiplicative relations among quantities: fractions and proportions. Teachers' responses to test items will be informative about their capacities to reason about content in ways that support student’s thinking. The project is developing instruments using a new class of psychometric models called Diagnostic Classifcation Models (DCMs) that are based on categorical latent variables.
A principled framework is created for the development of learning progressions in science that can demonstrate how their use can transform the way researchers, educators and curriculum developers conceptualize important scientific constructs. Using the construct of transformation of matter, which requires understanding of both discrete learning goals and also the connections between them, a hypothetical learning progression is constructed for grades 5-12.
Several small-scale experimental classroom studies Star and Rittle-Johnson demonstrate the value of comparison in mathematics learning: Students who learned by comparing and contrasting alternative solution methods made greater gains in conceptual knowledge, procedural knowledge, and flexibility than those who studied the same solution methods one at a time. This study will extend that prior work by developing, piloting, and then evaluating the impact of comparison on students' learning of mathematics in a full-year algebra course.
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.
The goal of this project is to accelerate the progress of early-career and pre-service science teachers from novice to expert-like pedagogical reasoning and practice by developing and studying a system of discourse tools. The tools are aimed at developing teachers' capabilities in shaping instruction around the most fundamental science ideas; scaffolding student thinking; and adapting instruction to diverse student populations by collecting and analyzing student data on their thinking levels.
In this project, a video and audio network links elementary school teachers with researchers and educators at Purdue to form a community of practice dedicated to implementing engineering education at the elementary grades. The research plan includes identifying the attributes of face-to-face and cyber-enabled teacher professional development and community building that can transform teachers into master users and designers of engineering education for elementary learners.
This project investigates how vignette illustrations minimize the impact of limited English proficiency on student performance in science tests. Different analyses will determine whether and how ELL and non-ELL students differ significantly on the ways they use vignettes to make sense of items; whether the use of vignettes reduces test-score differences due to language factors between ELL and non-ELL students; and whether the level of distance of the items moderates the effectiveness of vignette-illustrated items.
SRI International developed a formative assessment intervention that integrates classroom network technologies and contingent curriculum activities to help middle school teachers adjust instruction to improve student learning of Earth science concepts. The intervention was tested as part of a quasi-experimental study within an urban school district in Colorado that includes ethnically and economically diverse student populations. Findings indicate significant student learning gains for students in implementation classes as compared to students in comparison classes.
This project is developing a science teacher education model focused on the establishment of a diagnostic learning environment through formative assessment as a powerful instructional practice for promoting learning of all students (grades 5–12) on the topic of energy with the goal of increasing the understanding of the processes through which teachers develop the requisite knowledge, skills, and dispositions for effective deployment of a formative assessment instructional cycle.
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 SAVE Science project is creating an innovative system using immersive virtual environments for evaluating learning in science, consistent with research- and policy-based recommendations for science learning focused around the big ideas of science content and inquiry for middle school years. Motivation for this comes not only from best practices as outlined in the National Science Education Standards and AAAS' Project 2061, but also from the declining interest and confidence of today's student in science.
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.
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.
The purposes of this conference include bringing together 150 participants from all aspects of STEM education to exchange ideas about research, curriculum, and assessment; to help teachers integrate research-based instructional strategies in their teaching; and to build sustainable collaborations between participants. It includes three days of parallel presentations and discussion followed by a two-day summer academy. A focus on research-based strategies that advance the successful participation of underrepresented groups is embedded in all activities.
This project’s overarching goal is to evaluate the assessment components embedded within two NSF-supported mathematics curricula: Everyday Mathematics and Math Trailblazers. The investigators will apply a comprehensive validity perspective that integrates a variety of empirical evidence regarding the cognitive, psychometric, and instructional affordances of multiple assessments embedded in these curricula as part of their overall instructional design.
This project is conducting an empirical analysis of NAEP assessment items in science to determine whether evidence supports the hypothesis that standardized tests capture only a limited amount of student knowledge because of their cultural background. The investigator will create a model of test design more likely to extract student knowledge from students of varied cultures by expanding items’ content. The study will examine the experience of American Indian groups, Alaska Natives, and Pacific Islanders.