Enhancing Children's Academic Learning Experience: Natural Language Interface Designs in Educational Application

Abstract

User Interaction (UI) designs, a crucial part of the modern internet industry, have been envolving and becoming more and more sophisticated and advanced. Recently, with the development of Machine Learning in Computer Science, Natural Language Interface (NLI) designs, a new division of the UI designs, appears into public’s view. With its special focus on using Natural Language Processing (NLP) to enable applications respond and execute useful actions in response to users’ input, UI designers are able to implement an array of new functions into the application, allowing children (12 to 18 years old) to better interact with the applications. This research primarily focuses on how NLI designs in educational settings are able to enhance their learning experience and academic performance. In particular, with a deep literary analysis, this research incorporates several important findings about NLI designs’ positive effects on children’s academic learning experience and performance. Through thorough investigations, this research concludes that while there are several technical limitations on NLI designs due to the limited level of technology, they can still facilitate children’s learning experience and academic performance by satisfying children, letting them stay longer in the application, and providing them a better guide, which enables them to have a better navigation in the application’s learning environment.