VIRS 3.0 (Vocabulary in Reading Study)

Mentor(s):

Leila Zahedi

Product Owner(s):

S. J. Ehsanzadeh

Instructor:

Masoud Sadjadi

Description:


Here’s the theory: In 21st century classrooms, all teachers teach reading. And all reading entails vocabulary. Additionally, students learning English (ESL students) need vocabulary, and teachers need to guess which vocabulary to teach them. If you learn the most frequently used vocabulary first, you’ll learn a new language faster. Right now, though, teachers guess what that vocabulary is. Here’s our problem: Since we guess so much, language learning isn’t so efficient. In fact, learning the wrong vocabulary first can drag us down and discourage us. Here’s what we know: We have lists of the most frequently used vocabulary, as well as the most important vocabulary for students to learn for them to succeed in school. Here’s what we want: We want to create an app where teachers can take a picture of some text; that text, through OCR software, is sifted through a vocabulary profiler, sifting the words of the text into 6 categories: -Academic words -STEM words -Low frequency words -Medium frequency -High frequency -Names and other Thereby, assisting teachers with choosing which words to focus on with their classes. In other words, it prioritizes words to focus on; Ultimately, VIRS will have two separate options for English language learners and native speakers. In each option, VIRS offers vocabulary practices and language tests according to the students’ proficiency level. Meanwhile, it asks teachers to create a user name and password to sign in, thereby helping classroom teachers save their data for future use. In addition, VIRS would have a section for families to sign up to access vocabulary and reading tests. In this way, parents can work with low performance students through VIRS. In the meantime, VIRS can be helpful for those who want to read authentic graded texts based on academic vocabulary. The functionality of VIRS: Fast analysis of a large number of textbooks through OCR technology, VIRS produces a profile that makes it easier for teachers to have a better view of the text, VIRS bolds academic words through the text and will raise students’ attention which consequently lead to a higher learning rate, VIRS will have a readability index that would help teachers in making their decisions about which texts are most appropriate for each proficiency level, VIRS will offer KWIC (Key Word in Context) that will help students to develop ideas and do better brainstorming. Please let me know, if you have any questions. Product owners: Dr. ERIC S DWYER email: eric.dwyer@fiu.edu http://www2.fiu.edu/~dwyere/resume.html Department of Curriculum & Instruction Florida International University Seyedjafar Ehsanzadehsorati Version 3.0 is available here: https://github.com/FIU-SCIS-Senior-Projects/VIR-Vocabulary-in-Reading-3.0

Team Members

Christian Hidalgo

Juan Carlos Valladares

Demo