Adaptive Mobile-Assisted Language Learning: A Bayesian Framework Study for Optimal Learning Content Selection-Reference-Cited by-同舟云学术

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Adaptive Mobile-Assisted Language Learning: A Bayesian Framework Study for Optimal Learning Content Selection

Published:2023-12-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
language:
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Author:

Zhao Yanmei¹,Mokhtar Muhamad Mohd²,Salina Mustakim Siti²,Li Wenling²,Wu Xuanyi³,Wang Aiping¹

Affiliation:

1. School of Foreign Languages, Yuxi Normal University,Yuxi,China

2. Universiti Putra Malaysia,Faculty of Educational Studies,Selangor,Malaysia

3. Universiti Putra Malaysia,Faculty of Modern Languages and Communication,Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10436013.pdf?arnumber=10436013

Reference12 articles.

1. Mobile-assisted language learning (MALL) research trends and patterns through bibliometric analysis: Empowering language learners through ubiquitous educational technologies

2. Generic Digital Equity Model in Education: Mobile-Assisted Personalized Learning (MAPL) through e-Modules

3. Online Learning Readiness Among University Students in Malaysia Amidst Covid-19

4. Enhancing Segmentation of Abdominal Aortic Aneurysms in CT Images

5. bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

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