Issue |
E3S Web Conf.
Volume 295, 2021
International Scientific Forum on Sustainable Development and Innovation (WFSDI 2021)
|
|
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Article Number | 05029 | |
Number of page(s) | 16 | |
Section | Education in Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202129505029 | |
Published online | 26 July 2021 |
A Development of MALL Materials to Quality Education and Support English Oral Communicative Learning of Thai Airport Immigration Police Officers
Faculty of Education, Chulalongkorn University, Bangkok, Thailand
* Corresponding author: zyjhandy@163.com
Mobile-assisted language learning (MALL) creates more opportunities for learners to access learning resources more easily and selfdirectly without time and place limitation. Thus, this study aimed at developing MALL materials to support the English oral communicative learning of Thai airport immigration police officers based on needs analysis and exploring the quality of MALL materials to support English oral communicative learning of Thai Airport Immigration police officers.The instruments of this study were the semi-structured interviews with the officers in order to conduct needs analysis, and the IOC (Item-Objective Congruence) form for experts to validate the materials developed, and the questionnaire to assess the officers’ opinions after using the materials to explore the quality. ADDIE model was applied to guide the overall process of developing the materials. The findings indicated that the self-instructional MALL materials laded in WeChat public platform that consisted of two units, Arrival and Departure, and ten lessons that were under each unit, both of which were accordance with the airport immigration officers’ needs. Moreover, the evaluation based on the officers’ opinions revealed that the MALL materials had high quality of content, rational organization, pleasant presentation and convenient functions of the platform.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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