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Partnerships for enhanced engagement in research (PEER)
Cycle 4 (2015 Deadline)

Implementation of a randomization-based curriculum for introductory statistics at UPH and across Indonesia

PI: Kie Van Ivanky Saputra (kie.saputra@uph.edu), Universitas Pelita Harapan (UPH)
U.S. Partner: Nathan Tintle, Dordt College
Project Dates: November 2015 - October 2019

Project Blog: https://statisticsreform.wordpress.com

Project Overview

Statistics education reform is spreading around the globe but has yet to reach Indonesia. In this project Dr. Saputra and his colleagues will expose many Indonesian teachers of introductory statistics to the reformed content and pedagogy of simulation-based methods for teaching introductory statistics, methods that are growing in popularity at both the high school and college levels worldwide. The team will demonstrate that the simulation-based approaches to teaching introductory statistics developed by their U.S. Government-supported partner Dr. Tintle and his colleagues is a viable and effective alternative to teaching statistics to Indonesian university and high school students. As part of this project, the UPH group will provide helpful training to many statistics educators in Indonesia, impacting thousands of students in one of the world’s fastest growing disciplines. Finally, documenting student learning gains and improved attitudes when using the new curriculum is an important element of the project, and statistics teachers around Indonesia will participate in an assessment project to document these gains. They will disseminate the results of their workshops and the assessment project through peer-reviewed papers and conference presentations.

This new statistics curriculum will reform statistics education on a national level, changing traditional teaching methods to an active learning, student focused approach, engaging students to use more technology in learning something new, and initiating changes in statistical education through professional development. The sustained online learning community and faculty development materials included in this project will reach more than 200 statistics teachers and ultimately more than 3,000 Indonesian students. With a diverse range of professions in which statistics plays a role, the project has the potential for effecting substantial change in many sectors in the nation. Initially, it will impact hundreds of statistics educators and thousands of students in the classroom, and later on, indirectly, it should improve overall statistical literacy in the country. Its broader impacts are envisioned in enhancements to the quality of statistical education, the quality of statistical research, and the application of statistics throughout Indonesia.

Summary of Recent Activities

4-29 Students at UPH
Statistics students at Universitas Pelita Harapan (photo courtesy of Dr. Saputra).
During the spring and summer of 2018, Dr. Saputra and his colleagues organized two workshops on Elementary Statistics using Simulation-Based Inference, one at Bandung on April 19 and the other at Yogyakarta on June 28. The main goals were to introduce statistics lecturers to the new statistics curriculum developed under the PEER project and to invite them to adopt this curriculum in their universities. A total of 83 lecturers participated in the events, half of them female. From July 7 to 13, the PI and members of the PEER team also attended ICOTS - International Conference on Teaching Statistics 2018, which was held in Kyoto, Japan. They presented their results on teaching introductory statistics using simulation-based inference, and their work will be published in the conference proceedings. Meanwhile, they continue to work on their teaching materials and the educational Android application they are developing, in addition to analyzing the outcomes of their new teaching methodology by comparing pre- and post-course surveys.

As a result of discussions with his U.S. partner Dr. Nathan Tintle and other participants at the ICOTS conference, Dr. Saputra has several new ideas about additional research comparing the traditional statistics curriculum with his proposed statistics curriculum after two years of implementation. He and his team would also like to hone their instrument for evaluating evaluate statistical teaching and to study lecturer experiences in teaching statistics using simulation-based inference. A one-year no-cost extension has been issued on the project to allow additional time for more research activities, workshops, a training visit by Dr. Tintle to Indonesia, and a visit by PEER team members to the United States in 2019.


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