Open Access Article

Title: Scenario-based mobile application design for young dual-language learners: evidence from factor analysis

Authors: Athip Thumvichit; Watcharapol Wiboolyasarin; Singhanat Nomnian; Narongdej Phanthaphoommee; Koraya Techawongstien

Addresses: Research Institute for Languages and Cultures of Asia, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand ' Research Institute for Languages and Cultures of Asia, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand ' Research Institute for Languages and Cultures of Asia, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand ' Research Institute for Languages and Cultures of Asia, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand ' Research Institute for Languages and Cultures of Asia, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand

Abstract: This article aimed to provide new insights into critical factors to consider when developing a scenario-based mobile application (SBMA) for dual-language learners (DLLs). It is intended to investigate the factorial structure of the SBMA for young students in an elementary school context using exploratory and confirmatory factor analysis (CFA). The convenience sampling method was used to recruit 1,040 in-service teachers to complete the internet-based questionnaire. For half of the respondents, exploratory factor analysis (EFA) was conducted to identify the factors for SBMA design for young DLLs, and CFA was used to ascertain the model fit. The EFA identified five factors from 32 items, and through CFA, the results indicated that the five factors obtained from the EFA were validated: 1) application attribute; 2) lesson content; 3) immersive environment; 4) learning strategy; 5) instructional use. The findings shed light on how SBMA could be designed for DLLs.

Keywords: dual language learner; DLL; factor analysis; mobile application; primary school student; scenario-based learning; SBL; scenario-based mobile application; SBMA; confirmatory factor analysis; CFA; exploratory factor analysis; EFA.

DOI: 10.1504/IJMLO.2023.131856

International Journal of Mobile Learning and Organisation, 2023 Vol.17 No.3, pp.443 - 465

Received: 23 Dec 2021
Accepted: 05 Apr 2022

Published online: 04 Jul 2023 *