Jada Okeoghene Ogueh
Data Scientist: Junior at Jordan High School
Fulshear, TX, USA / Black/African American
👩 she/her/hers
🎓 Junior at Jordan High School
😁 Jada loves listening to Afrobeats such as Tems and Davido.
Jada champions inclusive, ethical, and responsible computing using data sets to predict community inequities.
ABOUT HER WORK
Jada acknowledges the industry's diversity gap. She not only chose computer science as her career but also actively empowered her community to join the field. Raised in an underserved neighborhood with limited computer science opportunities, Jada advocates for accessibility and inclusion. She dispels misconceptions about computer science among her peers and, as a Technology Student Association officer, actively encourages students from diverse backgrounds to participate in STEM activities, believing that everyone can contribute to the field.
WATCH & DISCUSS
Watch: Computer Scientist Explains Machine Learning in 5 Levels of Difficulty or How I’m Fighting Bias in Algorithms/Joy Buolamwini
Discuss:
Teaching machine learning to K-8 students can be engaging and fun through hands-on activities. Here are age-appropriate activities:
K-2:
Explore robots and their uses.
Sort shapes with cardboard robots.
Introduce simple animal guessing rules.
Grades 3-5:
Learn pattern recognition with objects.
Create step-by-step algorithms, like making a sandwich.
Discuss weather prediction using basic data.
Grades 6-8:
Decode binary code.
Explore email spam detection.
Design a chatbot and learn image classification.
Build predictive models with simple datasets.
For All Grades:
Use Scratch for interactive ML projects.
Share online demos of ML concepts.
Play educational ML games.
Invite guest speakers from AI and ML fields for real-world insights.
OTHER RESOURCES
ARTICLES
EXTENSION ACTIVITIES
Learn more about Jada’s Work
Using Python and data sets to predict charges in medical insurance.
NIQUE Invention for personalized learning using Python: https://youtu.be/kadh3h0LR4E
ADVICE TO YOUNGER SELF
Jada first learned computer science in Middle school (grades 6-8, ages 11-14)
“I would tell 13-year-old Jada that there is no standard of intelligence or required skills you need to be involved in computer science. I would tell her that there is a place for her in this field and that she brings a unique perspective to the table that will help her give back to her community. I will tell her that she has the power to do whatever she puts her mind to.”
HOW HAS JADA’S WORK CONTRIBUTED TO OR HARNESSED COMPUTER SCIENCE'S GOOD, NEUTRAL, AND NEGATIVE IMPACTS?
Ethical or Moral Impacts of Computing: “Computing automates tasks, increasing efficiency and raising concerns about job displacement and potential misuse. Introduction to Python during quarantine sparked a passion for using programming to solve real-world problems, driving a focus on developing inclusive technologies for the future.”
Good: Jada's development of AI tutors addresses the need for personalized learning, enhancing educational opportunities and academic excellence, especially for students with limited resources.
Neutral: Jada recognizes the potential for bias and exclusivity in computer science, emphasizing the importance of addressing these challenges to ensure the fairness and inclusivity of technology solutions.
Negative: Jada acknowledges the risk of subjective bias in computing, where individuals may overrepresent their opinions, leading to negative consequences such as reinforcing biases.