Jennifer Wang
About Jennifer Wang
Jennifer Wang is a Computer Science Instructor with extensive experience in curriculum development and student assessment. She currently works at Dewey Smart, Columbia University, and Juni Learning, focusing on teaching Python and data structures to students aged 8 to 18.
Work at Juni Learning
Jennifer Wang has been a Computer Science Instructor at Juni Learning since 2021. In this role, she teaches various computer science concepts to students in a remote setting. Her responsibilities include developing lesson plans tailored to different age groups and maintaining detailed records of student progress across multiple courses.
Current Role at Dewey Smart
Since 2021, Jennifer Wang has served as a Curriculum Writer at Dewey Smart. In this position, she focuses on creating educational content and lesson plans for students. She regularly communicates with parents to provide updates on student progress and assessment results, ensuring transparency and engagement in the learning process.
Position at Columbia University
Jennifer Wang has held multiple roles at Columbia University since 2021. She works as a Course Assistant in Data Structures with Java, where she supports the instructional team and assists students in understanding course material. Additionally, she serves as a Note Taker, providing essential documentation for students in need.
Education and Academic Background
Jennifer Wang studied at Columbia University in the City of New York, where she pursued a Bachelor of Arts in Computer Science and Financial Economics. Her academic journey spans from 2020 to 2024, during which she gained foundational knowledge in both computer science and financial principles.
Teaching Experience and Skills
Jennifer Wang has developed and executed lesson plans for a diverse age group of students, ranging from 8 to 18 years old. Her focus areas include Python graphics and data structures. She maintains comprehensive records for each student, tracking their progress across various courses and skill levels, which aids in personalized instruction.