Marcia Linn

This five-year project investigates how to provide continuous assessment and feedback to guide students' understanding during science inquiry-learning experiences, as well as detailed guidance to teachers and administrators through a technology-enhanced system. The assessment system integrates validated automated scorings for students' written responses to open-ended assessment items into the "Web-based Inquiry Science Environment" (WISE) program.

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 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.

The project provides a detailed research plan to build on a university-based mentor model to design school-based approaches. It addresses two challenges of implementing professional development: a) transitioning professional development to schools and b)assessing its effects on teacher and student learning. It is common for curricula to be introduced to teachers through university-based professional development programs, but its transition to schools requires careful planning, monitoring and support from the university at the initial stages.

This project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. Students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses.

This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. The project will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic.

This project is exploring how curricula and assessment using dynamic, interactive scientific visualizations of complex phenomena can ensure that all students learn significant science content. Dynamic visualizations provide an alternative pathway for students to understand science concepts, which can be exploited to increase the accessibility of a range of important science concepts. Computer technologies offer unprecedented opportunities to design curricula and assessments using visual technologies and to explore them in research, teaching, and learning.