BoilerTalk

Lectures can be challenging to navigate, with students often struggling to understand and engage with the material. Oftentimes, Students get confused on a topic but are too afraid to pause the lecture and ask a question about it, leading to a positive feedback loop of confusion.

BoilerTalk solves this issue. It allows users to pose anonymous questions to their peers in real-time. It removes any hesitation or fear of judgement, allowing students to ask anything that may be unclear to them. BoilerTalk fosters an inclusive learning atmosphere where every question is valued, contributing to a more comprehensive understanding of the subject matter.

BoilerTalk also helps foster a sense of community in a class. In addition to questions about the lecture content, students are able to post whatever message they want, be it a comment about how interesting the newest concept being covered is, to a comment about how difficult last night's homework was.

The Frontend of BoilerTalk was built with HTML, Scss, Vue.js, PrimeVue, Primeicons, as well as a custom socket.io plugin, while the backend was implemented with Express.js and Socket.io as well as an in-memory database. In order to get information regarding the classes, it uses local data scraped from the Purdue-io API, and in order to generate random usernames, it utilizes a public MIT licensed library.

BoilerTalk is more than just a technological solution; it is a catalyst for transforming the way students learn.

Built With

• express.js
• html
• primeicons
• primevue
• purdue-io
• scss
• socket.io
• vue