With the rapid development of modern information technology, computer technology, network technology in education, the application of increasingly broad and deep, to promote the field of education in the way of teaching and learning, to provide a wealth of teaching and learning resources for education, so that learning in the network environment has become a reality. The practicality and effectiveness of a test paper is determined by the accuracy of the grouping algorithm to extract the test questions, from the proposal of the grouping problem to the design of the grouping model, for the deficiencies of the grouping algorithm, a simulated annealing particle swarm optimization algorithm (SA-PSO) based on simulated annealing particle swarm optimization algorithm is proposed to build a collaborative learning platform by adopting the computer technology for designing and applying the collaborative learning activities. The improved algorithm is applied to the question-grouping algorithm, and the test results show that the SA-PSO algorithm is more effective, with a 99% success rate of grouping, which optimizes the science and rationality of the question-grouping algorithm’s question-grouping process. Visualized from the three aspects of knowledge processing, social relationships, and behavioral patterns, the collaborative learning platform can effectively identify the online collaborative learning process, help teachers conduct real-time monitoring, intervene with students, and improve learning efficiency.
