Many courses involve group projects and/or activities to let students to collaborate and work together to solve problems. However, it is not easy to ensure all students are actively contributed and collaborate with each other to complete the project. As teachers usually collect the final outcome and mark it as a whole, it is difficult to assess the group project fairly within a group if the workload is unevenly distributed. In this project, we proposed to use “An Online Evidence-based Assessment System” as a centralized platform for students to carry out group activities such as discussion, initiating activities, sharing resources, providing feedback and solution, etc. The proposed system will keep track of the progress of individuals within a group, and the best member and best group will be selected every week and showed on their main page as a compliment.

Detailed reports will be generated for both students and teachers. Students will receive a regular report to show their current progress, such as the number of posts, replies, completed tasks, interaction degree with other members, etc., to promote active engagement and collaborative learning. Whereas teachers will receive activity log of all students in the class, which could be used to set assessment criteria and identify free-riders. We have invited six teachers to deliver group projects and/or activities with our pilot platform. To study the effect of this online evidence-based assessment approach on students and teachers in higher education, quantitative data will be analyzed by data mining modeling techniques to discover interesting learning patterns.