Undoing Algorithmic Teaching Topographies

Note: Session time is listed in BST. Check your local time zone.

Reversing gravitational pulls of in-person teaching toward multidirectional fluid teaching topographies of embodied texture-mapped immersive learning environments, we sought to undo the finite sequence of rigorous instructions inherent in most algorithmic learning environments. Rather than hoping new tech tools will dismantle the entrenched normative of the patriarchal house, students build experiential knowledge together with emphasis on lived experiences that raise questions about dominant narratives surrounding gender, sexuality, home, family, and belonging.

Presenter:

• Karen Keifer-Boyd, Professor of Art Education & Women’s, Gender, and Sexuality Studies (Penn State)
• Maggie-Rose Condit-Summerson, Doctoral Candidate (Penn State)
• John Summerson, Animation Director and Educator (Penn State)

Session type: Panel