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University of Michigan School of Information

Anjali Singh standing in front of a beach

Anjali Singh


I am a human-centered AI researcher and learning scientist, with 6.5+ years of experience in human behavior research, conducting randomized controlled experiments and curating educational datasets using innovative AI and crowdsourcing techniques. I have led multiple large-scale studies to identify and address student needs and challenges, and played a pivotal role in deploying learning tools for data science courses as part of a collaboration between academia and industry. 

Currently, I am a PhD student at the University of Michigan School of Information, advised by Christopher Brooks and Xu Wang. In my dissertation, I studied and deployed educational technology that is both powered by and created for learners, by involving students in creative learning activities that foster their critical thinking skills and lead to the generation of educational content. I am working towards a human-AI collaborative approach to provide hints on data science assessments at scale. My research also looks into the impact of different student-AI interaction designs on students' learning outcomes and experiences. 

Before my PhD, I worked at IBM Research India, where I worked on AI solutions in domains such as early childhood learning and civic welfare.



Areas of interest

Human-AI Interaction, Learning Sciences, Crowdsourcing

Honors & Awards

Best Short Paper Nominee, Learning Analytics and Knowledge Conference, 2024 
Best Paper Award, Learning@Scale Conference, 2021 
Gold Medal, Indian Physics Olympiad, 2012


Integrated Master of Technology, Mathematics and Computing, Indian Institute of Technology, Delhi (IIT Delhi)

News about Anjali Singh

Recent UMSI awards and honors.
UMSI Awards & Honors: April 2024

UMSI researchers are recognized nationally and internationally for their outstanding work. Read about their recent accomplishments. 

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UMSI News.
UMSI researchers to present at SIGCSE 2024

UMSI researchers will be presenting on a wide range of topics related to computer science education. 

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