Best Practices in Running IT Hackathons Based on Paragon University Dataset


  • Azamat Serek Suleyman Demirel University
  • Meirambek Zhaparov Paragon International University
  • Seong-Moo Yoo University of Alabama in Huntsville
  • Assem Talasbek Suleyman Demirel University
  • Yong-Kab Kim Wonkwang University
  • Min-Woo Jin Wonkwang University



hackathon, IT hackathon, data analysis, Facebook API


Hackathons are special activities, which normally last about 1-3 days with teams to present their innovative solutions to the given problems in the IT domain. In this paper, we report the Paragon IT hackathon developing a web application using Facebook API and our analysis of surveys from the hackathon participants. We list and analyze the statistics of participants as their gender, age, level of satisfaction, and the willingness of attending another hackathon. Then, we mention participants’ primary motivation to participate, things they learned from the hackathon, and the main challenges. Based on that, we make some recommendations how to improve this hackathon even better. The results can be extrapolated into other hackathons, especially in Asian countries.

Author Biography

Seong-Moo Yoo, University of Alabama in Huntsville

Electrical and Computer Engineering Department




How to Cite

Serek, A., Zhaparov, M., Yoo, S.-M., Talasbek, A., Kim, Y.-K., & Jin, M.-W. (2020). Best Practices in Running IT Hackathons Based on Paragon University Dataset. International Journal of Emerging Technologies in Learning (iJET), 15(19), pp. 231–238.



Short Papers