Performance Analytics in Collaborative Learning Environments

Collaborative learning has recently become more common in educational settings and has the potential to revolutionise the way students are taught today. Pair programming is a tool for group learning in which two programmers work on the same projects simultaneously on a single computer. The pairs will work together on every aspect of programming, including algorithm development, coding, and testing. The environment that facilitates sharing of understanding and perception is provided by the continual communication that prevails among pair programmers. The goal of this study is to use pair programming as a teaching method in computer labs. To produce insightful findings, predictive analytics was applied to the data set. The study was conducted in appropriate lab settings where students are expected to learn independently and write code. During the regular lab sessions, research participants were required to conduct the lab experiments in pairs. The experiences of the students working in such surroundings were recorded using the necessary tools in order to study the effectiveness of this strategy. The students' learning was evaluated based on a number of factors, including student preferences, increased productivity, enhanced learning, and information sharing. Additionally, projections about the students' success in the final exams were made based on the analysis of the result.