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Dissertation Awards

Funding research at the edge of language and technology

Every year we back doctoral research at the intersection of second language acquisition and educational technology. 10 researchers have received an award since 2021. Submissions for the 2026 cycle are closed. The requirements and dates below are last cycle's, and the best guide to the next one.

Who can apply

Eligibility

You must be ABD, all but dissertation, by the proposal deadline. Coursework and comprehensive exams complete, dissertation proposal accepted.

Your research should sit at the intersection of second language acquisition and educational technology.

2026 cycle

Last cycle's dates

Call opens

April 15, 2026

Proposal deadline

June 15, 2026

Applicants notified

September 1, 2026

Applying

What to send us

  1. 1

    Your contact information

    So we can reach you about the outcome.

  2. 2

    A research summary

    No more than two single-spaced pages including references, plus up to two further pages for figures and tables. Cover the background literature, your research questions, your methodology, and the results you expect, along with what they would mean for language acquisition and educational technology.

  3. 3

    Your CV

    Current, in whatever format your field uses.

  4. 4

    Your supervisor's contact information

    We verify ABD status with them before making a decision.

If you're selected

One thing we ask in return

Recipients write a blog post about their research for the Mango Languages blog once the dissertation is complete.

Questions go to research@mangolanguages.com.

Recipients

Every recipient since 2021

10 researchers across 5 cycles, in their own summaries of their work.

2025 recipients

  • Sungeun Choi

    Applied Linguistics

    Northern Arizona University

    “Comparing L2 Interactional Competence and Learner Experience in Oral Interactions with Embodied AI Chatbots versus Human Interlocutors”

    Sungeun's research investigates the effectiveness of embodied AI chatbots (also known as “avatars”) as tools for second language learners to develop interactional competence, which is the ability to communicate effectively in real-time conversations. While AI offers a promising solution for language practice, we still know little about how this technology compares to traditional human interaction. This study directly examines how English as a Second Language learners' interactional competence differs when they interact with an AI chatbot versus a human partner. In addition to performance, the study will explore learners' perceptions of the experience, including their comfort, anxiety, and sense of connection. Seventy English as a Second Language learners at a university will participate in role-play tasks with both an AI avatar and a human. Their performance will be assessed and their feedback will be collected through questionnaires and interviews. The findings will provide valuable insights for educators and technology developers, aiming to enhance language education by effectively leveraging digital tools to help learners become more confident communicators.

Be first to know when the next call opens

Submissions for the 2026 cycle are closed. Email research@mangolanguages.com and we'll tell you when the next one opens, or work with us in the meantime.