Affiliation:
1. Worcester Polytechnic Institute, USA
Abstract
To meet the goal of understanding students' complex learning processes and maximizing their learning outcomes, the field of learning analytics delves into the myriad of data captured as students use computer assisted learning platforms. Although many platforms associated with learning analytics focus on students' performance, performance on learning related tasks is a limited measure of learning itself. In this chapter, the authors review research that leverages data collected in programs to understand specific learning processes and contribute to a robust vision of knowledge acquisition. In particular, they review work related to two important aspects of the learning process—students' problem-solving strategies and behavioral engagement—then provide an example of an effective math program that focuses on the learning process over correct or incorrect responses. Finally, they discuss ways in which the findings f rom this research can be incorporated into the development and improvement of computer assisted learning platforms, with the goal of maximizing students' learning outcomes.