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Title:
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TRANSFORMER LANGUAGE MODEL-BASED MOBILE
LEARNING SOLUTION FOR HIGHER EDUCATION |
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Author(s):
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Silvia García-Méndez, Francisco de Arriba-Pérez and Francisco J. González-Castaño |
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ISBN:
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978-989-8704-47-4 |
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Editors:
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Piet Kommers, Inmaculada Arnedillo Sánchez and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Higher Education, Intelligent Virtual Assistant, Mobile Learning, Natural Language Processing, User-Generated Content,
Transformer Language Models |
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Type:
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Full Paper |
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First Page:
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391 |
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Last Page:
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398 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational
training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective
high-quality and continuous learning. However, despite the advances in Natural Language Processing techniques,
mLearning still does not take full advantage of the great potential of the latter techniques. It is the case of the transformer
language models distributed in chatbot form. Accordingly, this work presents a mLearning application based on OpenAI
GPT-3 model, which enables user-friendly interactions. The proposed system was tested in two evaluation scenarios, and
the experimental results endorse its appropriateness toward learning experience enhancement. |
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