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Research on Inclusiveness in Computer Science Education

Authors: Chigozie Ofodike, and Anibely Torres Faculty Mentors: Dr. Yulia Kumar, Dr. Jenny Li Department: Computer Science Institution: Kean University Address: 1000 Morris Avenue, Union NJ, 07083

We are building an online platform to teach artificial intelligence (AI) to high school and college students interested in this area for the purpose of potentially getting a degree in computer science and eventually becoming professionals in this field. In particular, we are focusing on the young females, as our school is affiliated with The Women in Computing (NCWIT) non-profit organization and we are strong supporters of Inclusiveness of females in computer science research.

Our faculty mentors have been involved in outreach, recruitment and mentorship of students from New Jersey Schools for more than 10 years, but also teach AI to undergraduate and graduate students at Kean University (Union, NJ). During the ongoing pandemic, the need for some sort of entity that could replace the physical interaction between mentors and mentees became necessary and top priority. 

We have built a website for that and on it, we deployed an AI game that allows users to interact with a chatbot and observe it predicting several natural languages--the phenomena known as autocomplete. Currently our bot allows for engagement with English, Spanish, German, and several others. We are currently conducting AI focused research in many areas, some of which include sound and image recognition, natural language processing, and a multitude of data science projects focusing on deep learning and neural networks. Most are done with the use of the Python Programming Language and its latest AI and Machine Learning libraries and frameworks. 

We will continue to leverage the ever-growing potential of modern web development technologies to boost the effectiveness of this web application. Future plans include: its deployment to Google’s Play App Store, adding self-paced online AI courses and finally its maintenance and support. We have high hopes that this site will have a positive impact on the lives of young women.




Additional Abstract Information

Presenters: Chigozie Ofodike, Anibely Torres

Institution: Kean University

Type: Poster

Subject: Computer Science

Status: Approved


Time and Location

Session: Poster 5
Date/Time: Tue 12:30pm-1:30pm
Session Number: 4022