Work-in-progress: Analysis of the use of mentoring with online mob programming

Shota Kaieda, Daisuke Saito, Hironori Washizaki, Yoshiaki Fukazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Extreme programming (XP) approaches such as pair and mob programming (PP and MP, respectively) have been introduced to the educational sector. However, higher education curricula have started implementing online courses as a method for teaching programming, which poses challenges when conducting XP. Because social factors are vital to learning, we examine a project-based learning method using online MP that introduces a high level of communication. It also maintains the advantages of PP through the 'driver' and 'navigator' approach. However, there are multiple complications, including discomfort, slow code generation, and interpersonal issues, when using conventional MP. Accordingly, we introduce a mentoring approach to the MP setup and examine the differences compared to conventional MP sessions. We create and analyze co-occurrence networks of codes found via open coding. In this paper, we explain our method and show its advantages based on the results of our analysis.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE Global Engineering Education Conference, EDUCON 2021
EditorsThomas Klinger, Christian Kollmitzer, Andreas Pester
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781728184784
Publication statusPublished - 2021 Apr 21
Event2021 IEEE Global Engineering Education Conference, EDUCON 2021 - Vienna, Austria
Duration: 2021 Apr 212021 Apr 23

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567


Conference2021 IEEE Global Engineering Education Conference, EDUCON 2021


  • Computer Programming Education
  • Mob Programming
  • Online Learning

ASJC Scopus subject areas

  • Information Systems and Management
  • Education
  • Engineering(all)


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