Cycle 4 (2015 Deadline)
Implementation of a randomization-based curriculum for introductory statistics at UPH and across Indonesia
PI: Kie Van Ivanky Saputra (firstname.lastname@example.org), Universitas Pelita Harapan (UPH)
U.S. Partner: Nathan Tintle, Dordt College
Project Dates: November 2015 - October 2018
Project Blog: https://statisticsreform.wordpress.com
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
The first quarter of 2018 saw the team conduct its most recent workshop in February for lecturers in the Jakarta area, bringing the total number of workshops to three for lecturers in the Jakarta area and one workshop specifically for UPH lecturers. However, the team has not yet invited the workshop participants to adopt their material in teaching their own courses, as the necessary platform is not yet completed. The platform is being developed by the team’s research assistant with the hope that the material will be adopted in the fall semester this year.
Statistics students at Universitas Pelita Harapan (photo courtesy of Dr. Saputra).
In the coming months, the team is planning to analyze the results of a survey conducted among participants in classes taught this semester at UPH. They will also conduct additional workshops in Bandung, Yogyakarta, and Surabaya. Complementing the workshops, the team has been conducting outreach to university lecturers who are interested in implementing this curriculum, including by visiting universities where faculty members have expressed interest and conducting a session at a national education conference in Indonesia. Dr. Saputra and his colleagues are also currently working to revise a paper submitted for presentation at a conference in July. One paper has already been presented at the International Conference of Education on Science, Technology, Engineering, and Mathematics (ICE-STEM 2017).
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