Represents a relatively self-contained, stable SRRI project. Only the top-level page for a project should be given this tag.
Finding principles of instruction for developing students' visualizable models in science
This NSF-funded project seeks principles of instruction for developing students' visualizable models in science, including design principles for curriculum development, technological tools, and new pedagogical principles.
Developing and field testing a research-based curriculum for high school physics
Exploring technology for next-generation classroom response systems
Effective pedagogy --- identifying students' initial understanding and misconceptions, engaging their minds in the activity of learning, continually monitoring their individual progress, and adjusting
Online support for students doing electronic homework
At a large state university such as UMass, resources are necessarily limited, and students in a course with 200 or more classmates often think they cannot possibly get the assistance they need to answ
Developing and researching the impact of an alternative format for multiple-choice assessment
Standard multiple-choice assessments, for which there are 4 incorrect and exactly one correct choice, are efficient to implement but imprecise and difficult to interpret.
Computer-based assessment tools for probing physics students' conceptual knowledge structures
Traditional problem-based exams are not reliable tools for diagnosing students' knowledge and guiding pedagogical intervention; new tools grounded in cognitive science and educational research are nee
Researching the Role of Qualitative Analysis
RRA was a research project on the combined impact of qualitative analysis and reasoning activities and formative assessment on the attitudes, conceptual understanding, skills, and problem-solving prof
Advanced visualization tools for understanding statistics
This project addresses the growing importance of data literacy as a fundamental skill for living in a democratic society and the disheartening fact that few people have a solid understanding of data. It addresses this need by studying how advanced visualization tools can affect teachers' and students' develop understanding of several crucial statistical concepts.
Constructing data, modeling worlds: Collaborative investigation of statistical reasoning
This project aimed to change the way students -- and teachers -- think about math and science and was part of a larger endeavor by Peabody College to "reform the schooling of mathematics and science," said co-investigator and Professor of Science Education Rich Lehrer. This innovative project focused on learning rather than performance as the standard by which educational methods are judged.
Simulation software and classroom activities to help middle school students understand probability
Model Chance was a project funded by the National Science Foundation to develop simulation software and classroom activities to help middle school students learn about probability and data modeling. The simulation tool was integrated into our data-analysis software, TinkerPlots
and was eventually released as TinkerPlots version 2.0.