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Development of Mobile Learning English Web Application: Adoption of Technology in the Digital Teaching and Learning Framework

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  • Meennapa Rukhiran

    (Rajamangala University of Technology Tawan-ok, Thailand)

  • Arpaporn Phokajang

    (Rangsit University, Thailand)

  • Paniti Netinant

    (Rangsit University, Thailand)

Abstract

E-learning has become an important part of distance education to comprehend students' skills and knowledge during the COVID-19 pandemic. The adoption of e-learning for kindergarten children is a challenging key for design and development that must be involved in parental care during the use of e-learning. This research aims to design and evaluate a digital learning English system based on a web application for kindergarten students who require additional attention from instructors and parents. The study investigates students' learning achievement and end-user perceptions based on the extended technology acceptance model. The results contribute and confirm a significant positive to technology adoption of the digital teaching and learning framework by offering real-time learning, assessments, achievement records, and learning session activities using web applications on mobile. Perceived ease of use, perceived usefulness, and attitude positively influence behavioral intention to use the proposed learning web application.

Suggested Citation

  • Meennapa Rukhiran & Arpaporn Phokajang & Paniti Netinant, 2022. "Development of Mobile Learning English Web Application: Adoption of Technology in the Digital Teaching and Learning Framework," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 17(1), pages 1-25, January.
    • Handle: RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-25
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITWE.313571
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    1. Altaf Hussain & Muhammad Aleem, 2018. "GoCJ: Google Cloud Jobs Dataset for Distributed and Cloud Computing Infrastructures," Data, MDPI, vol. 3(4), pages 1-12, September.
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