An Adaptive Educational Web Application for Engineering Students

Motivated by the success of student-centered language-learning tools and data-driven platforms commonly found in popular commercial and entertainment platforms, we present a new adaptive educational web platform for engineering students. The presented adaptive education platform (ADEPT) focuses on personalizing learning in large college classes by enabling proactive and continuous student engagement. In this paper, we present the principles, implementation strategies, and initial results obtained by working with an early version of ADEPT in a required sophomore-level circuits course at Purdue University. Initial results underline the potential of this web tool to identify the challenging concepts for students as well as prepare instructors to modify the way concepts are presented to the students. In addition, ADEPT helps to reveal the student engagement habits and studying patterns that may not be easily identifiable through other means, such as self-reporting.