Team Leader
Ga Nan
Texas A&M University
Computer Science
ganan@tamu.edu
Project Type
Research
Who Can Join
Faculty, Staff/Postdoctoral Scholars, Graduate Students, Masters Students, Undergraduate Students
Project Description
This project aims to evaluate an intelligent tutoring system for Mongolian handwriting learning. The system leverages digital handwriting data to provide personalized feedback and improve learners’ proficiency in writing Mongolian characters accurately and fluently. Combining both fields of human-computer interaction and computer vision, we aim to enhance Mongolian handwriting learning through effective handwriting education.
Team Needs
We are recruiting dedicated teammates to join our team. Specifically, you can expect to help with the following:
– Participant Recruitment: Engaging with TAMU community to recruit interested participants.
– Data Collection: Assisting with on-site sessions to collect handwriting data using digital tablets and guiding participants through tasks.
– Data Analysis: Collaborating on processing and analyzing handwriting data to identify patterns and evaluate the system’s effectiveness.
– Quality Assurance: Aiding in testing the system to ensure its functionality, usability, and reliability.
Qualifications:
– All majors are welcome. Knowledge in programming and statistics is a plus but not required.
– Time commitment is expected to be 3 – 5 hours per week and can be adjusted to your schedule.
Special Opportunities
Through this project, you will gain hands-on experience and practical skills in:
– Data Handling: Learn to collect, process, and perform quality checks on sensitive research data, enhancing knowledge in data management and ethical research practices.
– Research & Analysis: Refine your skills in data collection, analysis and quality assurance, fostering a deeper understanding of research processes.
– Technical Skill Development: Level up your knowledge and skills in programming and statistics, through tasks such as data processing and analysis, building proficiency in Python and statistical metrics.
– Collaboration & Communication: Enhance your interpersonal skills by interacting with the team and participants, learning to build relationships and coordinate with diverse groups.