The case for substantial change in statistics instruction is built on strong synergies between content, pedagogy, and technology.

- David Moore

AIMS & GAISE


The AIMS materials have been aligned with the Guidelines for Assessment and Instruction in Statistics Education (GAISE). Each of the six recommendations from the GAISE college report is listed below along with an indication of how the AIMS materials have been aligned with it.


Emphasize statistical literacy and develop statistical thinking

The AIMS materials help build students’ statistical literacy by having them read their text and complete study questions, and respond to literacy oriented assessment items.

Use real data

The AIMS materials use data gathered from students (student survey data, body data) and analyze other real data sets of interest (e.g., college admissions data)

Stress conceptual understanding rather than mere knowledge of procedures

The AIMS materials focus on the nine big ideas (data, model, distribution, center, variability, comparing groups, samples, inference, and covariation), and develop them throughout the course. Students first encounter these ideas informally, and then as they revisit them, the materials aid in moving them to more formal understanding and reasoning.

Foster active learning in the classroom

The AIMS lesson plans suggest how teachers may guide students through activities where they are actively engaged in making and testing conjectures, working in small groups, explaining their reasoning, and learning together. The materials also incorporate versions of many innovative student activities.

Use technology for developing conceptual understanding and analyzing data

The AIMS materials use Fathom™ for data analysis and exploration, Tinkerplots™ to help students understand and reason about graphs, Sampling SIM to simulate data to make informal inferences, and several applets to illustrate abstract concepts.

Use assessments to improve and evaluate student learning

Three free resources can be used to assess students' statistical reasoning: The ARTIST website, the ARTIST Item Database, and the ARTIST Topic Tests and CAOS tests. To access these resources, click on AIMS Assessment Resources in the left menu bar.



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The contents of this page have not been reviewed or approved by the University of Minnesota.