Represents a relatively self-contained, stable SRRI project. Only the top-level page for a project should be given this tag.
Contact: John Clement
Funding: NSF DRK-12 Program # DRL-1503456
Contact: John Clement
Funding: NSF DRK-12 Program, DRL- 1222709
S-CASTS: System for Collaboration among Students, Teachers and System is a collaboration between UMass,
TERC, and Artificial Intelligence researchers at Harvard. We are investigating the use of models of collaboration, especially as embodied in collaborative human-computer interface systems, in the augmentation of existing flexible software tools for mathematics education.
Tools and Materials for Learning Data Modeling
Students playing computer games generate large quantities of rich, interesting, highly variable data that mostly evaporates into the ether when the game ends.
What if in a classroom setting, data from games students played remained accessible to them for analysis?
Investigate statistical intuitions of college students
Understanding of Basic Statistical Concepts
NSF Grant BNS-8509991 (1985 - 88)
Cognitive Skills Underlying Statistical Inference
NSF Grant SED-8113323 (1981 - 85)
Program of Applied Research on Scientific Reasoning Processes
NSF Grant SED-8016567 (1980 - 83)
Role of Preconceptions and Representational Transformations in Understanding Science and Mathematics
NSF Grant BNS-8509991 (1978 - 80)
In these four projects We used primarily clinical interviews to investigate statistical intuitions of college students.
Students Analyzing Data: A Study of Critical Barriers
This study was funded under the Small Grant for Exploratory Research Program at NSF.
A Study of Student Investigations in Data-Sharing Projects
Overview
The primary objectives of this research project were to a) identify the core ideas in rudimentary data analysis, b) research the methods students typically employ to compare two groups or judge the relationship between two variables, and c) identify features of data and tasks that we should attend to in designing instruction. Our research was aimed at informing teachers as well as the development of future data analysis projects, materials, software, and teacher development efforts.
A Computer-Based Curriculum in Probability and Statistics
ChancePlus was a four-year project to develop and field test materials for teaching probability and statistics at the high-school level using computers.
This NSF project is completing a model-based curriculum on Energy and the Human Body at the middle school level and investigating ways of teaching complex visual models in science.
This project complements and provides input to our science education projects by attempting to understand model construction and learning processes in expert scientists, with an emphasis on the roles of analogy, imagery, and thought experiments.