Project
overview
To develop a language learning platform starting with Korean as the initial language, we incorporated machine-learning handwriting recognition algorithms and karaoke features to attract investments for the platform by the latter half of 2023. We created an intuitive and enjoyable language platform, enhancing the language learning experience by personalizing user interactions.
Data Science
Leverage data, analytics, data visualization, and machine learning techniques to implement and enhance the experience on Project CUBS’ main deliverable
UI/UX Design
Design a language-learning app that can be easily used by users of different ages and genders.
Business Tech
Enhancing the language learning experience on the platform, whereby personalizing user experiences
Client
about the client
MyKstar is an up-and-rising startup focused on revolutionizing online virtual language learning. With a commitment to expanding and enriching the language learning experience. We are collaborating to incorporate innovative technology features such as karaoke and machine learning handwriting recognition features to enhance learners’ engagement and overall progress.
A Graduate-Student group team at the University of Columbia provided us with extensive research for enriching and improving our collaboration project. On a yearly basis, they specifically select a startup company to provide their consultation expertise. For this project, MyKstar was the selected client to collaborate with and provide the respective deliverables.
Team
TEAMS & DELIVERABLES
ML(Machine Learning) Team
Machine-learning algorithm for teaching Korean on the online platform
We aimed to collect and analyze user data to identify incorrect answer types based on language region, provide customized curricula based on language acquisition abilities, recommend individualized learning activities, and visualize the collected user data through dashboards.
- This DS team aimed to develop a language machine-learning algorithm for teaching Korean as the initial language on the platform.
- Continuously evaluate and improve the performance of the language machine-learning algorithms based on user feedback and data analysis.
- Collaborated with other teams to seamlessly integrate developed machine-learning algorithms into the platform and support the overall objective of creating a differentiated language-learning experience.
Members
Benjamin F. Oh
Daniel Chang
Dominic Hahm
Sung Jae Ahn
Yun Woo Lee
UI/UX Team
Intuitiveness, responsiveness, clarity, and attractiveness UI/UX for the users
Our task was to improve the design of a language-learning app. We were provided with some initial screens, which are shown below. Our final deliverables include a redesigned flow for the karaoke feature and the user dashboard.
- We performed a competitive analysis by doing research on three competitors: Duolingo, Quizlet and Memrise.
- To understand a little bit more about who we are designing for, we also created a persona.
- For the karaoke experience, we created a task flow diagram to determine the user experience of the feature and what screens we would need to design.
Members
Shin Young Park
Application Development Team
A differentiated language-learning platform for MyKstar
The aim of the application development team was to create a differentiated language learning platform. To develop key features such as Karaoke, a dictionary, and a word quiz. These features aimed to provide users with interactive and engaging tools to practice their language skills and enhance their learning experience.
- Front-end: Designing an engaging interface with problem-solving activities, learning games, and notes on incorrect answers.
- Back-end: Develop a centralized database for learning materials, user data management through login features, and an administrator server for customizing training materials.
- Software Engineering and Game Development: Create language-learning games tailored to user needs, with selectable difficulty settings. Implement proper data management systems and saving features to ensure a seamless learning experience.
Members
Jay Won Kim
Kanggun Lee
Min Jun Oh
Sunghoon Daniel Kim
Qtac Kim
Business Technology Team
Data Analysis for enchaning user experience
The Business Technology team played a crucial role in achieving the objectives of Project CUBS, enhancing the language learning experience on the platform, whereby personalizing user experiences through the implementation of a secure CRM database for progress tracking, user-centric database interface, interactive dashboards, and an AI-powered chatbot.
- Implement a secure and efficient backend CRM database that ensures data integrity and privacy while facilitating personalized user experiences and seamless progress tracking.
- Design and visualize the database information in two customized formats to enhance usability and user satisfaction, catering to the distinct needs and preferences of a diverse group of platform users.
- Create and deploy an AI-powered chatbot feature to provide round-the-clock user assistance, reducing response times, and optimizing operational efficiency to enhance the user experience.