Cycle 4 (2015 Deadline)
Implementation of a randomization-based curriculum for introductory statistics at UPH and across Indonesia
PI: Kie Van Ivanky Saputra (email@example.com), Universitas Pelita Harapan (UPH)
U.S. Partner: Nathan Tintle, Dordt University
Project Dates: November 2015 - December 2020
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
On March 5, 2020, Dr. Saputra and his team conducted another workshop in Makassar, a large city in the eastern part of Indonesia. Although 40 participants had signed up, only 18 attended, which the PI suspects was because some people were afraid to attend due to the newly emerging COVID-19 situation. A few weeks later, Indonesia imposed restrictions on travel and public meetings, seriously impacting progress on this project. The PEER team lost contact with statistics lecturers from other universities with whom they had been collaborating. With the requirements for conducting their classes online, requiring time-consuming pre-class preparations, the other lecturers had little time and energy left for research collaboration. The PI and his team members were also affected by the change in duties at their university and the lack of access of some of their materials that were not available online, so keeping the research going from home has been difficult. Finally, the COVID-19 situation led to the cancellation of some conferences the team had planned to attend to present their work and identify new collaborators. There is a relevant conference scheduled for December 2020 in Taiwan, and they hope to be able to attend in person.
Statistics students at Universitas Pelita Harapan (photo courtesy of Dr. Saputra).
Meanwhile, Dr. Saputra and his colleagues continue to carry out their survey for students who have taken their innovative statistics curriculum, most recently asking students from the Biotechnology and Pharmaceutical departments to complete the questionnaire. Further progress on writing up their work for publication should be easier to achieve once the shutdown is eased and they can return to their university. They will continue their efforts to revive contacts with statistics lecturers from other universities using various online meetings platforms.
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