Research
Analysis of Gender Gap in Computer Science in High School
Paper selected for publication and in production at Journal of High School Research
A distinct gap has developed between the number of women and men studying and working in Computer Science, commonly termed the Gender Gap. Surveys and data were taken from a high school to be analyzed. These provide insight into why female students are not as encouraged as their male counterparts regarding the subject. The results show that even at a stage as early as high school, differences in confidence, upbringing, and exposure have often deterred female students from pursuing Computer Science.
Applications of the GPT-n Series in the EdTech (In Progress)
GPT-n series is used to produce text on a particular topic, via a question or starting statement. Since this text is produced through analyzing data collected via web-scraping, the text is often factually correct, depending upon the parameters set and the topic given. This algorithm can be used to provide and make educational content for EdTech companies; at the same time the algorithm can be misused and result in plagiarism of content.
