Integrated Classroom Learning App for Adaptive Learning and Response Analytics
Overview
In this project, we aim to develop mobile application software for integrated classroom learning and response analytics. The software integrates clicker functionality, which will be a replacement for conventional physical clickers. Students will be able to respond to live polls posted by the professor in the class room, which can help the professor gauge the overall class understanding of a particular topic (see Figure 2) and adapt the speed and style of teaching accordingly. Each student can login via his/her student-id and the responses given by him/her are recorded to identify the student’s understanding of each topic in the module. The integrated learning app can also be used to distribute practice questions. Based on student responses, i.e. whether the student is correctly answering questions from a certain section, the software will adaptively change the difficulty of the practice questions to ensure a better and thorough learning experience.
There are two modes of the application – live and practice. The live mode is used when the lecturer asks a question in the classroom. The responses are recorded in a database which can be analyzed by the software. Based on the results, the lecturer can explain the parts requiring more elaboration. The practice mode is used by students to test their understanding of topics in class. A question bank containing a large number of questions provides the mobile app with questions on the fly.The practice questions are chosen with an appropriate difficulty level that is computed based on three factors – correctness of responses of individual topic, his/her average performance in class and the difficulty level of the concerned topic as perceived by the class. These factors are adjusted in real-time based on the responses. A web-interface will be developed as an alternative for those who do not own portable devices.