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Technical University of Munich

Connected Algorithmic Learning Through Social Media (CAL)

To address the gender imbalance in computer science, this project focused on fostering equitable opportunities for girls in algorithmic learning. It targets the intersection of computing and social media. Recognizing the significance of youth engagement on platforms like Instagram and TikTok, where millions create and share meaningful content, the project aims to leverage these practices to develop connected algorithmic learning. By translating girls' existing algorithmic and social media practices into tangible activities and design recommendations, the project creates a framework promoting gender-equitable computational learning opportunities. Building on the connected learning framework and the concept of algorithmic imaginary, the project explores how youth cultural practices on social media intersect with algorithmic opportunities for learning. Preliminary results suggest that integrating algorithmic thinking into common social media activities can raise awareness among both young people and educators, showcasing how personal actions influence platform behavior.

Project Lead

  • Prof. Dr. Anna Keune, Assistant Professorship of Learning Sciences and Educational Design Technologies, TUM School of Social Sciences and Technology, Technical University of Munich

External Advisors

LS Design Research Staff

  • Santiago Hurtado, TUM School of Social Sciences and Technology, Technical University of Munich

Funding: TUM Hochschule für Politik; The project is part of the Reboot Social Media Lab of the TUM Think Tank
Duration: 2022 - 2023
Project website: https://tumthinktank.de/project/connected-algorithmic-learning/

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