
The Tech Center held its 2024 Hackathon, Hack the Language Flagship, on April 19th and 20th on the campus of Virginia Tech University. The event is designed to engage Flagship students from across the United States in ideation of new technologies to support or enhance their language learning experience. This year’s theme was AI. Twenty-eight students from 15 different Flagship programs collaborated in teams to create chatbots centered around a language learning challenge. Towards the end of the event, each team presented their design pitch to all attendees. A winner was selected by a panel of experts in language learning.
CONGRATULATIONS!
About “Hack The Language Flagship!”
“Hack The Language Flagship!” is an amazing opportunity to become involved with a group of like-minded peers who have original ideas and want to drive the language technology innovation agenda together. Imagine the possibility of changing the world of language education over one weekend!
The Flagship Hackathon is a fast-paced event optimized for discovery and creativity. Use your experience and seek advice from experts in the field of language technology to propose technology-based solutions (“hacks”) that may impact the future of language learning.
Explore previous Hackathons
Winning Chatbot Design
Expert Coaches and Judges
- Robert Efird, Virginia Tech University
- Kevin Gaugler, Marist College
- Scott Payne, Northwest Learning Innovations
Hackathon Dream Team
- Naiyi Fincham – Mentor/Event Support
- Suzanne Freynik – Mentor/Event Support
- Molly Godwin-Jones – Mentor/Project Lead
- Angela Haeusler – Event Support
- Rachel Mamiya Hernandez – Mentor/Event Support
- Zhengrui “Sherrie” Liu – Event Support
- Richard Medina – Mentor/Event Facilitator
- Julio Rodriguez – Mentor/Director
Team 1
STONE (Self Teaching Online Educator)
In classes we don’t always learn everything we need to know. We find areas where we are lacking and want to improve, but that does not change curriculum in classes or even resources like Duolingo. So, we want to find a way to improve self study and make it easier for language learners to pick what they want to learn and practice. This will be targeted for materials that are not covered in class or further study is desired for Flagship students. This chatbot can be applicable for students preparing for their Capstone year.
Austin Long
Chinese Flagship
Brigham Young University
Raili Peterson
Chinese Flagship
University of Minnesota
Annika Gulseth
Arabic Flagship
University of Arizona
Mackenzie Rice
Arabic Flagship
University of Arizona
Lillian Martosko
Korean Flagship
University of Hawaiʻi at Mānoa
Team 2

Seamus
Do you ever feel like a broken record? While learning a language, we often default to basic responses that come naturally to us, but after a certain point, these responses become repetitive. Our chatbot aims to diversify the language/vocabulary we use in our responses by providing alternative responses. Based on the user’s input, Seamus provides three alternatives with the same or similar meaning to the user’s initial submission. The target demographic is beginner to intermediate-level language learners.
Selina Zheng
Chinese Flagship
Hunter College
Sophia Navarro
Chinese Flagship
Arizona State
Mackenzie Buck
Russian Flagship
University of Georgia
Gilda-Mei Pesqueira
Russian Flagship
University of North Carolina
Team 3

Expresso
Within modern language learning environments, students learn a very formal, textbook variation of the language. In situations in which the student is later immersed in the language, this formal, awkward, and English-sounding use of language can create a challenge when trying to connect with native speakers on a more personal level. The objective of this GPT design is twofold: to diminish the social/cultural barriers between students and natives in dialogue, and to help students express themselves at a higher level during proficiency tests. This is accomplished by increasing students’ familiarity with culturally authentic phrases, idioms, and sayings, while also maintaining interest and being easily accessible. This GPT will do this through the provision of definitions and contextual practice.
Haasil Pujara
Chinese Flagship
Hunter College
Autumn Sniffen
Chinese Flagship
University of North Georgia
Callaway Landers
Portuguese Flagship
University of Georgia
Ariel Zolton
Portuguese Flagship
University of Texas at Austin
Tiyan Duan
Chinese Flagship
University of Minnesota
Team 4
Grammar Pal
The learning challenge we are addressing here is learning and understanding grammar in complex sentences for U.S. critical language learners. Flagship learners often have difficult times understanding the grammatical rules of their target language, so the purpose of this chatbot is to address that challenge. The chatbot provides opportunities for users to both: learn and practice. Users can learn how to improve their text by being provided detailed explanations of the errors they made in their text and receive feedback. Additionally they can ask for ways they can improve their text. Users can also practice writing skills through the timed writing practice features.
Jade Yang
Chinese Flagship
Arizona State
Jin “Yanling” Joslin
Chinese Flagship
University of Oregon
Carolyn Rohr
Chinese Flagship
University of Rhode Island
Natalie Castaneda
Portuguese Flagship
University of Texas at Austin
Nicole Cortes
Portuguese Flagship
University of Georgia
Team 5
Happy as a Clam
The target user for our chatbot is for speakers of all levels in a given language. Applicable for anyone who is abroad, studying, completing an internship, even natives who would like context for idioms of their own native language (We don’t always understand why we say what we say!). The target user is somebody looking to expand their vocabulary and increase their proficiency level in non-literal language.
Riley Woodruff
Russian Flagship
Portland State University
Ashlyn Clark
Chinese Flagship
University of North Georgia
Hannah White
Chinese Flagship
University of Rhode Island
Cheryl Chen
Chinese Flagship
Hunter College
Sara Adkins
Russian Flagship
University of Georgia
Team 6

Vocabulon
When studying textbook material, language learners lack immediate access to interactive practice that is tailored to the topic and their needs. Word retention is not great when plainly memorizing bare vocabulary.
By focusing on interactive elements such as description, conversation, and roleplaying, our GPT helps reinforce vocabulary in context, making it easier to remember and apply later on in class. It aims to change the way Flagship students preview course materials and approach vocabulary.
Our objectives are that Flagship students will have a strong grasp of their class-assigned vocabulary after interactive practice, and that students can practice and receive feedback at any time and from anywhere.
Daniel Han
Russian Flagship
University of Georgia
Tedd Lee
Chinese Flagship
Hunter College
Jun Ho “David” Han
Russian Flagship
University of Georgia
Smith Rothchild
Chinese Flagship
University of Washington
Contact Information
TECH CENTER
1890 East West Road
Moore Hall 256
Honolulu, HI 96822
tech.center@hawaii.edu
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The Language Flagship Technology Innovation Center is funded under a grant from the Institute of International Education (IIE), acting as the administrative agent of the Defense Language and National Security Education Office (DLNSEO) for The Language Flagship. One should not assume endorsement by the Federal Government. Project P.I.: Dr. Julio C. Rodriguez
