Jennifer Hill

Ed-tech researcher & designer

Jennifer Hill

I'm Jennifer Hill: a Computer Science Ph.D. who is passionate about creating usable, useful, innovative educational techologies. I started the Learning Technologies Research group at GWU, where I spent the five years of my doctoral studies creating, designing, developing, and managing two educational software projects: CAPITAL and REMind.

Since graduating, I have been working as a freelance educational technology consultant for Save the Children International, where I have conducted numerous desk studies and contributed reports and recommendations for introducing effective technology solutions to many of their US and international education programs. I have also written Software Requirements Specifications documents and created high-fidelity mock-ups for an international development software toolkit.

Nothing excites me more than seeing a well-researched, evidence-based idea come to life in a product that has a tangible impact for real users. I'm thorough, hard-working, attentive to detail, and passionate about finding ways to apply technology for real impact in the education space.


Ph.D., Computer Science 2012 - 2017
The George Washington University
Focus: Educational technology, adult literacy, automatic question generation, human-computer interaction
Thesis: Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners (Defended December 2017)
B.S., Computer Science 2008 - 2012
Hood College


  • Education & Technology Consultant Aug 2018 - Jan 2019
    Save the Children International (Freelance)
  • Lead Researcher/Developer May 2013 - May 2018
    The George Washington University
    School of Engineering and Applied Science
    • Founded the Learning Technologies Research group
    • Created and served as lead designer, developer, and manager of the CAPITAL adult literacy learning application and REMind learning management system
    • Conducted extensive research on literacy acquisition, mobile learning, and software design paradigms for under-served communities and users with limited digital literacy
    • Developed and analyzed novel algorithms for automatically generating foundational literacy learning materials from an existing curriculum
    • Worked with instructors at adult literacy organizations to determine their needs for educational tools and piloted them with students in various classrooms
  • Data Management Developer (Intern) Sep 2017 - Jan 2018
    The George Washington University
    Business Intelligence Office
    • Made significant modifications to the Data Management Center's internal tool to improve usability and performance
    • Helped build missing features of internal tool by leveraging Collibra APIs to help move product closer to production


Creator / developer / designer
Co-creator / co-designer / consultant
Designer / owner


  • Effective Educational Technologies by Child Developmental Stage: A report for Save the Children, 2019.
  • The Future of ICT in Education: Opportunities and Recommendations: A report for Save the Children, 2019.
  • Presentations

    2018 - MetroHero data visualization
    2017 - Dissertation defense
    2016 - NAACL BEA conference
    2016 - ProLiteracy conference
    2016 - CS 101 NLP talk

    Awards and Accomplishments

  • Second place: 2016 SEAS Research & Development Showcase, theoretical research category: [View poster]
  • Scholarship: GWU Provost's Graduate Research Fellowship, 2012-2017
  • Publications


  • J. Hill, “Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners,” The George Washington University, 2018. (Unpublished doctoral thesis).
  • 2016

  • J. Hill and R. Simha, “Designing a Literacy-Based Mobile Application for Adult Learners,” in Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems, 2016, pp. 3076–3083.
  • J. Hill and R. Simha, “Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams,” in Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016, pp. 23–30.
  • 2015

  • J. Hill, W. Randolph Ford, and I. G. Farreras, “Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations,” Computers in Human Behavior, vol. 49, pp. 245–250, 2015.