Statistics Education Research Group (Konold et al.)

Software Updates

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Konold to Lecture on Statistics Education in China

Cliff Konold, director of the Scientific Reasoning Research Institute, was invited by the mathematics department of East China Normal University in Shanghai to deliver a series of lectures


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.

Data Games

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?


DataScope® was a Macintosh Classic data-analysis program from the 1990s with accompanying data sets and instructional activities for grades 9-13.

Research: Statistical Intuitions

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.

Critical Barriers

Students Analyzing Data: A Study of Critical Barriers
This study was funded under the Small Grant for Exploratory Research Program at NSF.

Data Sharing

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.
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