‘Algorithms’ is a complex undergraduate CS course, generally taught using individual learning pedagogy. Students acquire knowledge of algorithms not solely through videos and materials. They actively seek and explore new visualization tools to simulate and trace the algorithm to gain a deeper understanding. This experience report narrates how UG CS students learn Algorithm course topics through cooperative learning by the Jigsaw technique, specifically highlighting the impact of cooperative learning for student-driven integration of educational technology tools. A novel orchestration of Jigsaw learning pedagogy was conducted for CS undergraduates in the Algorithms course. Phase 1 of the activity was attributed to expert group learning and phase 2 to home group learning. The results indicate that students independently explored and evaluated different visualization tools that were not included in the instructional materials provided by the teacher, specifically in phase 1. Furthermore, the students created visual representations for algorithms that did not have existing tools available. In this paper, we report the learners’ expert group report analysis and feedback on Jigsaw intervention uncovering how learners gained a deeper understanding of the algorithms.