Title:
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HOW CAN GENERATIVE AI BE ADAPTED FORLEARNING CONTEXT SUPPORT IN CONTEXTUALVOCABULARY ACQUISITION? |
Author(s):
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Mohammad Nehal Hasnine, Mirai Yamada and Gökhan Akçapinar |
ISBN:
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978-989-8704-61-0 |
Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
Year:
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2024 |
Edition:
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Single |
Keywords:
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AI-Assisted Vocabulary Learning, Contextual Vocabulary Acquisition, Generative AI, Image Generation, SentenceConstruction and Error Correction |
Type:
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Short |
First Page:
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371 |
Last Page:
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374 |
Language:
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English |
Cover:
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Full Contents:
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Paper Abstract:
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Learning contexts play a crucial role in the acquisition of new vocabulary and its use in other contexts. Language learners use contextual clues, such as relevant expressions, small sentences, multimedia annotations, or images, to keep a learning context in memory. However, contextualizing vocabulary is exceedingly challenging even with multimedia contents, as learning contexts are very personal and involve learners making personal connections to the vocabulary. This paper explores how Generative Artificial Intelligence (GenAI) can foster learning context support for foreign language learners within multimedia-aided language learning frameworks. This paper introduces a new approach and a custom version of ChatGPT, Wordhyve-Glc, to assist language learners in constructing learning contexts for learning new vocabulary. Wordhyve-Glc also generates an image representing the learning context to be used as a contextual clue to memorize the learning context. Wordhyve-Glc will be integrated with Wordhyve, a multimedia-supported vocabulary learning app on Google Play, to foster contextual vocabulary acquisition. |
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