1999 Seed Grants

Title: Representing Scientific Strategies Visually

PI's: Bat Sheva Eylon, Weizmann Institute, Israel; Iris Tabak, UCLA

Other collaborating institutions: University of California, Berkeley
Scientific innovations increasingly permeate our lives. Communities must vote on policies for water fluoridation, and parents must decide whether their children should be immunized with newly introduced vaccines. Acquiring a corpus of scientific knowledge is not sufficient for cultivating scientifically literate citizens. They must be able to gather, analyze and synthesize scientific information in service of decision making. National standards consistently call for students' understanding of scientific strategies and procedures. The Representing Scientific Strategies Visually project will identify inquiry strategies common to scientific practice, and create multiple representations of these strategies suitable for varied instructional approaches.

This research draws on earlier work by the participating partners (Bat Sheva Eylon, Iris Tabak, and Marcia C. Linn) designing inquiry support tools and curricula that reify productive investigation strategies. The work is also informed by a number of extant projects (e.g., WISE, BGuILE, CLP, KIDS, ModelIt, One Sky Many Voices, Progress Portfolio, ThinkerTools) designing supports for scientific practices. Visualization tools can be designed to suggest ways in which to manipulate, juxtapose and depict scientific information. In addition, they can communicate the relevance of such actions for specific scientific projects, and encourage generalization, abstraction and reuse. Our proposed partnership will identify a set of strategy representations that could be implemented across different learning environments.

Final Report




Title: Modeling Malaria: An interactive tool for exploring science controversy

PI: Margaret Corbit, Cornell University

Other collaborating institutions: University of Washington; University of California, Berkeley; Interactive Learning Design
The Modeling Malaria (MM) project is a collaboration involving the Science Controversies On-Line: Partnerships in Education (SCOPE), funded through the KDI initiative of the NSF, and Cornell Theory Center (CTC). The content features simulation models from Cornell mathematician Rick Durrett and will incorporate game design concepts in its final stages. This partnership enables experts in technology, science disciplines, pedagogy, and classroom use of learning environments to jointly design a prototype, interactive simulation and to extract from the work a plan for broad expansion of the approach. The MM project will leverage leading-edge research in computer modeling to contribute new and useful tools based on current research that can be used by students and lifelong learners to examine controversial areas of research from a scientific perspective. Our goal is to learn how to design and present such a tool so that it easily can be incorporated into the SCOPE environment, specifically SCOPE's first Controversy Forum on malaria. We also will examine how use it in an informal learning environment (SciCentr), identifying a set of design criteria for both. We will contribute our findings to CILT's efforts to create a taxonomy of learning technology resources.

Final Report




Title: Roadmap for Modeling and Visualization in Learning: A linked national graduate seminar

PI: Kenneth Hay, University of Georgia

Other collaborating institutions: University of California, Berkeley
The goal of this proposal will be to establish a networked collection of graduate seminars on Modeling and Visualization in Learning (MVL) at universities across the world in the Spring Semester of 2000. These seminars would have the primary objectives of:
  1. Establishing a scholarly community around the MVL Theme Team objectives
  2. Negotiating a common vocabulary and intellectual framework for MVL
  3. Developing a "road map" for research and development of MVL
  4. Developing the next generation scholars in MVL

These linked seminars would be significant in several ways. There are many exciting and revolutionary projects and examples of modeling and visualization throughout the world. However, basic framework and agreed-upon definitions are lacking. A series of linked seminars will provide a means for a scholarly group to read a common corpus of seminal articles in the area of MVL, to interact with the primary authors of these works through telecommunications, and to facilitate sustained interactions between scholars and graduate learners. This synergistic approach could rapidly develop the field's collective knowledge.
Seed Grant Products: The MVL Web site.



Title: VisuAlliance - Integration and innovative assessment of dynamic visualization components in the classroom

PI: Eric Hilfer, TERC

Other collaborating institutions: Logal Software, Inc.; SRI International

(co-sponsored by the Assessments for Learning Theme Team)
The Visualization and Modeling Theme Team at the CILT99 conference identified two vital directions of inquiry that needed attention and research: The integration of existing visualization and simulation tools into a flexible delivery environment, and Updating assessment and evaluation methods to capture the ways these innovative environments influence and contribute to learning. We propose to form a partnership to investigate the integration of two powerful data visualization systems, TERC's VideoScapeª linked video and measurement tools and Logal¨ Software's SimPlayerª component-based Web delivery visualization environment. We further propose to work with SRI International to build upon their current work in developing new methods of assessment and evaluation of learning with innovative visualization and simulation. We would use the Seed Grant to fund the development of a preliminary standard specification for a visualization integration platform, and use VideoScape and SimPlayer in particular as a test case for demonstrating integration. Evaluation and assessment models will be concurrently developed to address all of the features supported by the integration standard. These assessment models will be as media-rich and flexible as the learning environment itself. The results of these studies will then be used as major components of a larger federal grant application.

Final Report

Project website: http://projects.terc.edu/VisuAlliance




Title: Technical and Theoretical Foundations of Learning Activities with Modeling

PI: Clayton Lewis, University of Colorado at Boulder

Other collaborating institutions: MIT; School District 15, Palatine, IL; Stagecast; University of Missouri, Kansas City; University of California, Berkeley; Georgia Institute of Technology; Harvard University; FamiliarTales, Inc.; University of Georgia; SRI International; NCSA
People developing and studying learning activities centered on modeling need better access to information about available software tools, and to evolving theoretical ideas about learning with models. At the same time, tool builders and theorists can profit from greater knowledge about proposed and actual learning activities and experience with them. We propose to develop sharable, expandable information structures to meet these needs, providing an organized way for users, tool builders, and theorists to collect and exchange information and ideas. Using these information structures, a person developing a model-based learning activity could identify available software tools and determine how well these tools could support the planned activity, at what level of effort. He or she could also locate ideas in the evolving theory of learning with models applicable to the planned activities. Later, descriptions of the experience with the new activity would be added to the information structures. This new information would provide feedback to theorists and tool builders, leading to improved theoretical ideas and better tools.

The final workshop report is posted here: http://www.cs.colorado.edu/~clayton/ciltwk.html




Title: Designing Knowledge Representations and Epistemic Practices for Science Learning

PI: William Sandoval, UCLA

Other collaborating institutions: University of Washington; SRI International; University of Hawaii; University of California, Berkeley
This project is an effort to consolidate what we know as a field about designing representations for scientific knowledge that support students' inquiry in productive and epistemologically appropriate ways. Our work is being carried out in two phases. During the first phase we will synthesize results from our own efforts and comprehensively review other representational tools. This synthesis and review will include what we have learned about the particular affordances of different tools to support explanation, model building, and argumentation, including both representational and discursive practices. Such a review will clarify theoretical issues involved in supporting flexible use of representations which have varying epistemological and rhetorical affordances, and will be submitted to an appropriate journal, such as Review of Educational Research. The second phase builds upon this review to articulate a set of design principles for the next generation of tools capable of enabling students to represent their emerging scientific understanding in various ways and at multiple levels. This design work extends beyond simply understanding how to design technology to include designs for certain kinds of practices associated with effective instructional uses of these representations, namely scientifically appropriate epistemic practices. These design principles will then inform our development of the next generation of representational tools and instructional practices within our ongoing classroom-based research and design efforts.

Final Report