Connected Algorithmic Learning through Social Media

On social media, adolescents create and share diverse portfolios throughout their lives. Sharing personally meaningful content on social media offers adolescents the opportunity to promote recognition within their peer group while also developing their own personalities. In doing so, young people navigate in a very purposeful way. The project examines the Social Media practices of young girls and uses this to develop recommendations for gender-appropriate computer-based learning opportunities. Phase One explores girls' algorithmic learning opportunities on social media through video observations and interviews with female adolescents. Phase Two will focus on developing, testing, and communicating activities for gender-responsive networked algorithmic learning to the public.

The project builds interdisciplinary and cross-campus synergies at TU Munich, the TUM School of Social Sciences and Technology, and beyond by bringing together the Re-Boot Social Media Lab with the Computational Crafting Lab. This new model space for gender-responsive and networked learning at the UnternehmerTUM Makerspace in Garching provides innovative educational opportunities for youth, students, and educators. 

Team

Prof. Dr. Anna Keune (anna.keune@tum.de), Professor of Learning Sciences and Educational Design Technologies, TUM School of Social Sciences and Technology.

What results can you expect from this project?

  • Workshops on networked algorithmic learning will be held.
  • Practice briefs communicate key findings of networked algorithmic learning. 
  • Communicate recommendations on how gender-responsive networked algorithmic learning can be supported by social media technology.