University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding human-centered robotics, dynamical systems, and controls. Through a browser-based interface, students are provided with learning materials using a remote hardware-in-the-loop system for effective, experiment-based education. This article discusses the methods used to connect remote hardware to mobile and desktop browsers, the adaptation of textbook materials to one degree of freedom arm experiment, data processing, generation of clean and useful results for student interpretation, initial usage of the end-to-end system for individual and group learning, and the acrlong BKT models to evaluate individual and group learning level. The evaluation result shows that the CLAB system successfully increases the knowledge learning of students, and assists students to perform better in the tests.