LangLang
LangLang is a desktop language learning application that uses Claude AI to generate
personalized reading passages, vocabulary exercises, grammar practice, and pronunciation
activities — all calibrated to a learner's current proficiency level. Rather than working
through a fixed curriculum, learners choose their own topics and set their own level, and
LangLang builds the content around them. Vocabulary is highlighted in context, words can be
saved and reviewed through spaced repetition, and a built-in read-aloud feature supports
listening comprehension alongside reading.
Automatic Written Corrective Feedback
A web-based classroom tool that automates Written Corrective Feedback for ESL writing
instruction. Using Claude AI, AWCF annotates student drafts with standardized grammar error
codes — encouraging active self-correction rather than passive editing. A structured weekly
cycle of drafting, feedback, revision, and reflection is paired with personalized grammar
worksheets generated from each student's individual error patterns.
LIFT Lab — Language Innovation and Futures in TESOL
A mobile innovation hub within the BYU–Hawaii TESOL program where faculty and preservice
teachers build, experiment, and imagine the future of English language education. The LIFT
Lab harnesses AI agents to design educational technology, interactive platforms, and
pedagogical materials — preparing future educators not only to use AI responsibly, but to
actively shape it within the field.
AI Agents for Differentiated Language Learning Materials
This project explores agentic AI as a collaborative partner in language materials
development. Traditional publishing economics constrain differentiation — producing tiered
texts, scaffolded tasks, and culturally adapted content at scale is logistically and
financially prohibitive. By working alongside educators, agentic AI systems capable of
planning, iterating, and executing complex authoring tasks may finally make genuinely
differentiated, contextually responsive materials widely achievable.