In the senior year of High school, lots of students are working on the college application processes. Our project team members are all high school students. We all need to prepare for our college applications. In the college application processes, we need to submit the High School GPA Transcript, ACT/SAT Test Score, College Essay, etc... to match UC admission requirements. The College Board Organization did not hold any ACT/SAT Test during the COVID pandemic. Thus, the College Application Essay became the strongest indicator of the college application procedure. We all know that preparing essay questions is not easy, and also, the last-minute work has less quality. We have to find the best essay writing strategy and use quality tools to discover the most gainful questions. We used the Stratified Sampling method and created two clusters, one cluster was all private high school students, the other was all public high school students. Then choose the same amount of students from each cluster. The advantage of stratified random sampling is a quicker method to take responses. The collected evidence from each of our team members should have some similarities. We hope to find our best strategy for college admission. Hence, we would like to find out the patterns and some keywords among our answers. We used the JMP Text Mining Tools for processing the transforming unstructured text data into meaningful and actionable information. The benefits we use text mining are to collect important information from unstructured survey responses and unlocking hidden information. The selected keywords are the key factors for writing a good essay. In other words, reaching these keywords meaning the right direction they chose. It’s better to achieve the most selected keywords to make themselves stand out.
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AuthorChi-feng Ho Categories |