Adapting and Implementing Innovative Material in Statistics (AIMS) was an NSF-funded project from 2006–2010 that developed lesson plans and activities based on innovative materials that have been produced for introductory statistics courses (DUE-0535912). Initially written in 2005–2006, the AIMS lesson plans and student activity guides were developed to help transform an introductory statistics course into one that is aligned with the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for teaching introductory statistics courses. The lessons, which build on implications from educational research, involve students in small and large group discussion, computer explorations, and hands-on activities. The lessons are described in full detail along with the research foundations for the lessons, in Garfield and Ben-Zvi’s book Developing Students’ Statistical Reasoning: Connecting Research and Teaching Practice.
- The AIMS materials are available on Github at https://github.com/zief0002/aims
Biology Science Quantitative Reasoning Exam (BioSQuaRE) was a multi-institutional HHMI-funded project from 2013–2016 that developed an instrument to assess the quantitative readiness of students planning on majoring in biology or the life sciences (Grant #520076788).
- To learn more about BioSQuaRE see https://www.macalester.edu/hhmi/biosquare/
Change Agents for Teaching and Learning Statistics (CATALST) was an NSF-funded project from 2008–2012 that developed materials for teaching a radically different introductory statistics course based on randomization and bootstrap methods to provide students a deep understanding of statistical inference (DUE-0814433). The materials produced from this project include a set of in-class activities and an online-book of accompanying reading material.
- The online book, Statistical Thinking: A Simulation Approach to Modeling Uncertainty, is available at http://zief0002.github.io/statistical-thinking/.
- The data sets and PDF version of the lab manual (in-class activities) are available on Github at https://github.com/zief0002/statistical-thinking.
Evaluation and Assessment of Teaching and Learning About Statistics (e-ATLAS) was an NSF-funded project from 2011–2013 that developed high-quality instruments to help evaluate the effectiveness of past and on-going efforts to reform the teaching and learning of introductory statistics at the tertiary level (DUE-1044812 & 1043141). Two instruments developed as part of this project were the Statistics Teaching Inventory (STI) and Goals and Outcomes Associated with Learning Statistics (GOALS). An additional instrument, the Basic Literacy in Statistics (BLIS), was developed by Laura Ziegler as part of her doctoral dissertation research was also a part of the e-ATLAS project.
- More information about the STI, including the instrument itself, can be found at https://zief0002.github.io/sti/