Quality Management System Use of Foreign Language Apllications For Student Learning
Main Article Content
The integration of quality management systems (QMS) into the use of foreign language applications has become increasingly relevant in enhancing student learning experiences. This study explores the effectiveness of foreign language learning applications, such as Duolingo and Babbel, when paired with QMS frameworks to monitor, evaluate, and improve learning outcomes. By adopting a systematic approach, the research examines how QMS principles—such as continuous improvement, performance measurement, and user feedback—can optimize the usability and pedagogical impact of these applications for students in diverse educational settings. Findings indicate that applying QMS to language applications fosters better alignment with educational objectives, improves user satisfaction, and enhances learning engagement. Key elements include regular tracking of learning progress, adaptive content customization, and structured feedback mechanisms. This approach also empowers educators to make data-driven decisions to support students' language acquisition effectively. The study concludes that incorporating QMS into the use of foreign language applications represents a viable strategy for advancing the quality of language education, promoting efficiency, and ensuring continuous improvement in student learning outcomes. Future research should explore the scalability of this approach across various disciplines and demographic groups to further validate its applicability.
American Council on the Teaching of Foreign Languages (ACTFL). (2021). The role of technology in language education: Best practices and challenges (Report No. 45). ACTFL. https://www.actfl.org/technology-report
Choy, D., & Cheung, Y. L. (2022). Comparison of primary four students’ perceptions towards self-directed learning and collaborative learning with technology in their English writing lessons. Journal of Computers in Education, 9(4), 783–806. Doi/10.1007/s40692-022-00220-4
Dörnyei, Z., & AL‐Hoorie, A. L. I. H. (2017). The motivational foundation of learning languages other than global English: Theoretical issues and research directions. The Modern Language Journal, 101(3), 455–468. Doi/10.1111/modl.12408
Fuchs, C., & Deterding, S. (2022). The role of gamification in language learning applications. Journal of Educational Technology & Society, 25(3), 45-58. https://doi.org/10.1109/JETS.2022.3086735
Jones, A., Buntting, C., & de Vries, M. J. (2013). The developing field of technology education: A review to look forward. International Journal of Technology and Design Education, 23, 191–212. DOI: 10.1007/s10798-011-9174-4
Kumar, P., Maiti, J., & Gunasekaran, A. (2018). Impact of quality management systems on firm performance. International Journal of Quality & Reliability Management, 35(5), 1034–1059. DOI: 10.1108/IJQRM-02-2017-0030
Miller, J., & Thompson, M. (2021). Adaptive learning systems and language proficiency: A case study. Language Learning and Technology, 25(4), 78-94. https://doi.org/10.1016/j.lingtech.2021.03.004
Ong, Y. S., Koh, J., Tan, A.-L., & Ng, Y. S. (2023). Developing an Integrated STEM Classroom Observation Protocol Using the Productive Disciplinary Engagement Framework. Research in Science Education, 1–18.
Plomp, T., & Ely, D. P. (1996). International encyclopedia of educational technology. ERIC.
Purohman, S. P. (2018). Classroom action research alternative research activity for teachers. Research Gate.
Shen, Y., Yin, X., Jiang, Y., Kong, L., Li, S., & Zeng, H. (2023). Smart Classroom: Find the Teaching Methodology for Teaching Students According to Their Aptitude. In Case Studies of Information Technology Application in Education: Utilising the Internet, Big Data, Artificial Intelligence, and Cloud in Challenging Times (pp. 97–102). Springer.
Schwabenland, C., & Searle, R. (2020). Educational technology and the quality management system: A strategic approach. Springer.
Wells, P., & Richards, L. (2019). Digital language learning: Innovations and challenges. Routledge.
Williamson, B. (2017). Decoding ClassDojo: Psycho-policy, social-emotional learning and persuasive educational technologies. Learning, Media and Technology, 42(4), 440–453. DOI: 10.1080/17439884.2017.1278020
Yiu, N. S. N., Chan, D. W. M., Sze, N. N., Shan, M., & Chan, A. P. C. (2019). Implementation of safety management system for improving construction safety performance: A Structural Equation Modelling approach. Buildings, 9(4). https://doi.org/10.3390/buildings9040089
