Our Partners
The CODAP community currently includes seven collaborating research projects. CODAP relies on the participation of an ever-expanding community of multiple collaborators. Contact us to explore ways to collaborate.
Current and past collaborators:
The following people have also contributed to the development and support of CODAP over the years: Amy Busey, Scott Cytacki, Josh Donato, Chad Dorsey, Tim Erickson, Tom Farmer, Sam Fentress, Katie Genadek, Jen Goree, Sam Gweon, Chris Hart, Rina Hoffer, Paul Horwitz, Sherry Hsi, Alex Jokela, Randy Kochevar, Eli Kosminsky, Tracy Kugler, Hee-Sun Lee, Hollylynne Stohl Lee, Josephine Louie, Doug Martin, Ethan McElroy, Cynthia McIntyre, Amelia McNamara, Noah Paessel, Frieda Reichsman, Luke Smith, Kirk Swenson, Virgil Zetterlind
Translators
The Chinese translation was contributed by Dr. Silvia Wen-Yu Lee’s research team at National Changhua University of Education.
系統中文化由國立彰化師範大學李文瑜教授研究團隊翻譯完成。參與者:李文瑜、林栢川、曾一偵。
The German translation was contributed by Rolf Biehler, Daniel Frischemeier, Susanne Podworny und Thomas Wassong at Paderborn University.
The Greek translation was contributed by Ioannis Lefkos of the University of Macedonia.
The Hebrew translation was contributed by Tom Bielik of CREATE for STEM at Michigan State University.
The Japanese translation was contributed by Daichi Yamamoto (山本大智), a student in Shinshu University, Faculty of Education, Mathematics course.
The Norwegian translations were contributed by Thomas Bedin at Norwegian Digital Learning Arena (NDLA).
The Portuguese translation was updated by Rafael Vieira Bonangelo.
The Spanish translation was contributed by Cristián Rizzi Iribarren.
The Thai translation was contributed by Asst. Prof. Dr. Niwat Srisawasdi, Deputy Dean for Research and Creative Educational Innovation, Faculty of Education, Khon Kaen University, Thailand.
The Turkish translation was contributed by Ibrahim Delen.
Suggested Citation
Common Online Data Analysis Platform [Computer software]. (2014). Concord, MA: The Concord Consortium.
This material is based upon work supported by the National Science Foundation under Grant No. DRL-1435470. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.