Meenakshi Mani

My research investigates AI EdTech in Indian K-12 education, with a focus on how these technologies are developed. Drawing from my technical expertise and background in education I explore the subjectivities of EdTech professionals and the algorithmic foundations of AI education technologies. In unpacking these, I analyse the influence of different factors on the work of EdTech professionals, including the political economy of AI and EdTech, engineering epistemic cultures, technical infrastructures, as well as public policy on education and AI innovation. I approach this work by centering the voices of professionals working within the EdTech sector — from software engineers and machine learning scientists to education specialists — to present an understanding of how students, teachers, and learning are constructed within increasingly AI-infused EdTech platforms and products.
 
Prior to joining the University of Edinburgh, I completed my M.A in Educational Foundations, Policy & Practice from the University of Colorado, Boulder. I also hold a bachelor's and master's degree in computer science and previously worked as a software engineer in the U.S tech industry for ten years. 

Supervisors: Dr Ben Williamson, Prof Sian Bayne

Email: M.Mani@sms.ed.ac.uk

Related news

Insight Prize to Meenakshi Mani

Congratulations to PhD student Meenakshi Mani on winning the Insight Prize of the Autumn '24 issue for her article Indian EdTech's Double-Edged AI Sword!