Sia Hwang

• Facilitated Bi-Weekly Zoom Sessions: Organized and led virtual Q&A sessions every two weeks to address student inquiries on the course’s core theoretical concepts (ex. data collection, probability, sampling, estimation) as well as practical applications using R.
  Enhanced Instructional Methods: Collaborated with fellow instructors to share best practices and refine teaching techniques. Adapted explanations and instructional materials to meet the needs of students from diverse academic backgrounds, since the course is designed specifically for non-majors in statistics or mathematics.
  Provided Timely Feedback: Evaluated student progress through informal assessments during Zoom sessions, offering constructive and prompt feedback to enhance understanding of both theoretical content and statistical software usage.
  Fostered an Inclusive Learning Environment: Initiated open forums that encouraged students to voice their questions and concerns, ensuring an interactive and engaging classroom experience that supported learners from various disciplines.

• Weekly 14-Hour Commitment: Consistently dedicated 14 hours per week to support daily operations within a busy academic office.
• Student Support & Issue Resolution: Received and managed student inquiries and complaints, ensuring prompt and effective resolution of issues.
• Cross-Cultural Communication: Acted as a liaison for foreign students, facilitating clear communication with administrative staff and minimizing language barriers.
• Administrative Coordination: Assisted with tasks such as parking permit sales and coordinating various administrative requests from professors, streamlining day-to-day operations.
• Documentation & Process Improvement: Maintained organized filing systems and documented student interactions, contributing to improved office processes and service quality.

Teaching Assistant – Programming and Statistical Thinking
Department of Statistics, Ewha Womans University, Fall 2024

• Course Support & Lab Facilitation: Assisted in the delivery of a hands-on course that focused on both statistical theory and practical R programming. The curriculum covered essential topics such as data understanding, data manipulation, graph creation, and hypothesis testing.
• Bi-Weekly Q&A Sessions: Conducted bi-weekly Zoom sessions to address student questions regarding theoretical concepts and R programming tasks. Helped clarify challenging topics and provided guidance on practical lab exercises.
• Assignment Grading & Feedback: Evaluated student assignments and quizzes, providing detailed, constructive feedback to support their learning process. Ensured that grading was consistent with course standards and learning objectives.
• Instructor Collaboration: Worked closely with the lead instructor to prepare class materials, set evaluation criteria, and incorporate effective teaching techniques. Contributed to maintaining a dynamic and interactive learning environment.
• Student Communication & Support: Facilitated clear and effective communication between the instructor and students, ensuring that doubts were promptly addressed and that students remained engaged with the course content.