Teaching Spell Checkers to Teach: Pedagogical Program Synthesis for Interactive Learning

Predictive Input & AutocorrectAI-Assisted Writing & Text GenerationMotor Impairment Assistive Input TechnologiesSpeech-Language Pathologists & AudiologistsSpecial Education TeachersUniversity Professors & Researchers

Spelling taught through memorization often fails many learners, particularly children with language-based learning disorders who struggle with the phonological skills necessary to spell words accurately. Educators such as speech-language pathologists (SLPs) address this instructional gap by using an inquiry-based approach to teach spelling that targets the phonology, morphology, meaning, and etymology of words. Yet, these strategies rarely appear in everyday writing tools, which simply detect and autocorrect errors. We introduce SPIRE(Spelling Inquiry Engine), a spell check system that brings this inquiry-based pedagogy into the act of composition. SPIRE implements Pedagogical Program Synthesis, a novel approach for operationalizing the inherently dynamic pedagogy of spelling instruction. SPIRE represents SLP instructional moves in a domain-specific language, synthesizes tailored programs in real-time from learner errors, and renders them as interactive interfaces for inquiry-based interventions. With SPIRE, spelling errors become opportunities to explore word meanings, word structures, morphological families, word origins, and grapheme-phoneme correspondences, supporting metalinguistic reasoning alongside correction. Evaluation with SLPs and learners shows alignment with professional practice and potential for integration into writing workflows.

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https://hci.top/en/papers/iui/226617/2026

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IUI
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Year
2026
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7 authors
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Predictive Input & Autocorrect, AI-Assisted Writing & Text Generation, Motor Impairment Assistive Input Technologies
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Speech-Language Pathologists & Audiologists, Special Education Teachers, University Professors & Researchers
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Abstract only
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