The Engagement of Mobile-assisted Learning Activities for Korean Language Practice through Data Analysis

This paper aims to prove that proactive language learning can be achieved by developing education platforms with various functions for learning foreign languages. Besides, according to Nami, since the growing consensus on the potential of smartphones for supporting language learning has promoted the use of software apps ((Ahn & Lee, 2016; Moroz, 2013)), the features of language apps need to be fun, user-friendly, easy to use, and effective for acquiring desired outcomes, and anytime and anyplace accessible ((Nami, Fatemeh. “Towards More Effective App-Assisted Language Learning: The Essential Content and Design Features of Educational Applications.” Issues in Language Teaching, vol. 9, no. 1, June 2020)). So, by analyzing various language learning apps with standard functions, we could determine the correlation between demand and motivation. By developing the new platform utilizing multiple technological features, including Interactive Dashboard, AI Chatbot, and data analysis, we could measure the effectiveness of the application, identify the impact of this innovation, and check the ease of usage. In addition to the development of a platform, through the research, this paper investigates the trend of K-wave, understanding the Korean language as well as K-culture in order to delve into the development of Korean learning language applications that can have potential for those who are eager to learn Korean language, and based on the potential motivations that lead people to learn Korean language, this paper provides the information of what kinds of K-waves drive people to be attracted to K-culture, resulting in learning Korean language with MyKstar.

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Publication Details

Journal
Journal of Student Research
Published
2024-11-30
DOI
https://doi.org/10.47611/jsrhs.v13i4.8362
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

The Engagement of Mobile-assisted Learning Activities for Korean Language Practice through Data Analysis

Lucas Wonjoon Jung
Journal of Student Research
AI in Service Interactions
article

The Engagement of Mobile-assisted Learning Activities for Korean Language Practice through Data Analysis

Lucas Wonjoon Jung
article en

Abstract

This paper aims to prove that proactive language learning can be achieved by developing education platforms with various functions for learning foreign languages. Besides, according to Nami, since the growing consensus on the potential of smartphones for supporting language learning has promoted the use of software apps ((Ahn & Lee, 2016; Moroz, 2013)), the features of language apps need to be fun, user-friendly, easy to use, and effective for acquiring desired outcomes, and anytime and anyplace accessible ((Nami, Fatemeh. “Towards More Effective App-Assisted Language Learning: The Essential Content and Design Features of Educational Applications.” Issues in Language Teaching, vol. 9, no. 1, June 2020)). So, by analyzing various language learning apps with standard functions, we could determine the correlation between demand and motivation. By developing the new platform utilizing multiple technological features, including Interactive Dashboard, AI Chatbot, and data analysis, we could measure the effectiveness of the application, identify the impact of this innovation, and check the ease of usage. In addition to the development of a platform, through the research, this paper investigates the trend of K-wave, understanding the Korean language as well as K-culture in order to delve into the development of Korean learning language applications that can have potential for those who are eager to learn Korean language, and based on the potential motivations that lead people to learn Korean language, this paper provides the information of what kinds of K-waves drive people to be attracted to K-culture, resulting in learning Korean language with MyKstar.

Journal of Student ResearchVol. 13(4)
Openalex Percentile: Top 72%
AI in Service Interactions
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