Program Description Text: NSF has organized its approach to educational improvement in science, mathematics, and technology into a cycle of discovery, innovation and application that includes:
- Developing and testing theory and knowledge about teaching and learning;
- Designing and developing tools, materials and methods;
- Designing, implementing, and documenting interventions;
- Synthesizing and interpreting results and identifying new insights and questions; and
- Conducting research on problems of learning, teaching, implementation, and policy.
(The cycle of discovery is adapted from Rand Mathematics Study Panel, 2002)
IERI focuses its attention on the last three elements of this cycle. Scaling up requires attention to synthesis and interpretation of results; identification of the evidence base for effectiveness of interventions; articulating questions that arise from exploring this information base; and designing, implementing and documenting new interventions at larger scale. Conducting the research that enables these processes is what IERI is all about.
Over the past two decades, there have been many different types of projects that aim at educational improvement in science and mathematics. Some projects have undergone evaluation processes that provide evidence of effectiveness; others have not. Very few have had participation from individuals with the full range of expertise needed to explore the issues central to scaling up. Likewise, very few have brought to bear the full range of ideas and tools needed to explore scaling to new contexts or larger venues.
This IERI solicitation is designed to improve the capability of the science, mathematics, and education communities to address the substantive issues of scaling up that are critical to attaining the IERI objectives. While IERI will accept proposals for scaling up, the focus for FY 2004 is on establishing the scientific ground from which scaling up might occur. Participation of the mathematics and science communities is particularly important in identifying those activities that have a long term, sustainable impact on improving learning that paves the way for advanced study. This will complement the participation of those with expertise in the tools and methods of research into educational improvement, as well as those with experience in implementing improvement strategies and those on the front lines in our schools and classrooms.
Background:
Many studies show that US students struggle to achieve in mathematics. The Third International Mathematics and Science Study (TIMSS), and the TIMSS-Repeat Study (http://nces.ed.gov/timss/ ) reveal that students in the United States master fundamental skills and knowledge of mathematics and science during their elementary school years at the same rate as their international peers on average. These studies, however, indicate that U.S. students are less likely to master and/or be taught more complex and conceptually difficult material during their middle and high school years, resulting in lower achievement, relative to students from other countries. The Third International Mathematics and Science Study - Benchmark Study - indicates that there are great inequities in science achievement across the country. The results demonstrate that students in some schools perform among the best in the world, while students in other schools do poorly (Martin et al., 2001; National Center for Educational Statistics, 1999).
The National Academy of Sciences (NAS) recently published Adding it Up: Helping Children Learn Mathematics (2001). The NAS report argues for a comprehensive view of mathematics learning that the committee refers to as "mathematical proficiency." A report recently issued by the RAND Corporation (Rand Mathematics Study Panel ) highlighted three areas of research: 1) Developing teachers’ mathematical knowledge for teaching, 2) teaching and learning mathematical practices, and 3) teaching and learning algebra (see http://www.rand.org/multi/achievementforall/math/ for the full text of the report).
The most recent results from the National Assessment of Educational Progress (NAEP) (National Center for Education Statistics, 2002) show that, overall, student achievement is not improving in the sciences. At the 12th grade level, student achievement has actually declined when compared with students’ scores five years ago (National Center for Educational Statistics, 2000).
IERI projects can help address these serious concerns by scaling up the most powerful and promising approaches to mathematics and science education—approaches for which effectiveness has been demonstrated by the accumulated evidence from research.
Projects eligible for IERI support could arise from existing projects supported within the EHR Directorate, from education projects within other NSF Directorates, or from projects not supported by NSF. Projects that address math and science content at the middle and high school levels are especially encouraged.
Mechanisms of Support
Contextual Projects : Contextual Project proposals may not exceed an overall budget of $2,000,000 for up to five years.
Examples of contextual projects include:
Feasibility Studies - Support for pilot studies of scale-up that are designed to study critical implementation factors and/or to refine methodological features for scale up. Such studies might include synthesis from existing research and applications of the synthesized results in developing the design for intervention and research in the next cycle of innovation.
Replication Studies - IERI will support the replication of previous studies in new contexts.
Measurement Studies – Studies to develop and document the psychometric properties of test items that are designed to measure learning critical to scaling up research are eligible as contextual projects. Investigators may, for example, propose to develop measures that assess the fidelity of implementations, student knowledge, teacher knowledge, or other important predictor or outcome variables related to scale-up. The study of measures that use technology as an essential component is especially encouraged. For example, a variety of concept inventories are currently available in several science disciplines; studies of their reliability and validity are important before they can be used widely for scaling up research.
Technology Projects
IERI will support pilot technology projects with student learning as an outcome and will support the use of technology in the development of ways of assessing student progress.
All contextual projects should promise a synthesis and interpretation of their results that, in combination with results of other projects, can lead to a scaling project.
Scaling Projects : Scaling Project proposals may not exceed an overall budget of $6,000,000 for up to five years.
Examples of Scaling Projects include:
Curriculum Studies - Studies of complete mathematics or science curricula, which were shown to be successful in limited settings, applied across a wider spectrum of schools and settings, especially when tied to student learning and the preparation for university science and mathematics study.
Teacher Enhancement - Studies involving teacher enhancement programs that deal with activities likely to be encountered in typical schools. These studies should include measures of teacher knowledge regarding mathematics and/or science content, pedagogy, and effective use of assessment strategies. These studies should have student learning as a primary measure to determine the effectiveness of the teacher intervention and should include partnerships with university science and mathematics departments.
Technology Deployment - Studies of deployment of technology to a much larger scale (state-wide, nation-wide). Examples of such deployment include the essential use of the world wide web, the use of automated tutors in schools, and the use of virtual learning environments in science and mathematics. The initial deployment must have shown substantial student achievement gains in order to be eligible for a scaling award.
Additional Considerations
Sources for IERI Projects Projects eligible for IERI suppport can arise from many sources, including NSF-supported projects at any educational level. For example, projects in undergraduate education with an evidentiary base for effectiveness might be adapted to the secondary school environment. This might include technology-based pedagogical innovations such as virtual laboratories, mentoring mechanisms, use of digital libraries, or curricular innovations. In-service teacher enhancement activities might be adapted to pre-service teacher education programs or vice-versa. Advances in science and mathematics may provide new ways for students to learn what it is to do science, rather than simply learning about science.
Technology
Projects that advance the state of new technology uses in the context of mathematics or science learning are especially welcome. These include the use of digital libraries in science and mathematics curricula, experimental mathematics and science using computational tools, the use of collaboration technologies to support student/faculty interactions, the use of visualization to support mathematics and science learning, and the use of Grid-like technologies for virtual classrooms. Additionally, projects that use innovative technology in the analysis of interventions, such as data mining and statistical learning, are welcome.
Human Capital
An important component of IERI projects is attention to the development of people who will be able to participate in future contextual or scaling projects. In particular, the involvement of scientists and engineers in science education projects and mathematicians in mathematics education projects is highly recommended. Scientists, engineers, and mathematicians could be involved in projects as PI’s, co-PI’s, post-doctoral investigators or graduate and undergraduate students. Additionally, the training of the next generation of education researchers with the requisite methodological skills to develop scaling projects is important. Both graduate and postdoctoral support can be used for such training activities.
Accumulation of Knowledge
All IERI projects are expected to accumulate and communicate knowledge to the relevant research communities. Successful IERI projects must demonstrate that they are building upon knowledge from previous research and that they can successfully contribute to that knowledge base. Simply publishing papers or building a web site does not constitute evidence of knowledge accumulation. Active engagement with the research community at large and active contributions to data repositories, active tool sharing, active instrument sharing, and strong outreach are characteristics of knowledge building for successful projects. IERI supports a Data Coordination Center at the National Opinion Research Center (NORC) and funded scaling projects are expected to share data with NORC and provide access to findings. NORC also provides technical assistance for scaling projects.
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