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What is Computer Assisted Learning Platforms (CALP)

Perspectives on Learning Analytics for Maximizing Student Outcomes
Programs that provide automated learning content and/or problems with the goal of students gaining knowledge or skills. These can include programs with varying levels of adaptivity from intelligent tutors with automated targeted feedback to digitally presented problems.
Published in Chapter:
Beyond Performance Analytics: Using Learning Analytics to Understand Learning Processes That Lead to Improved Learning Outcomes
Kirk P. Vanacore (Worcester Polytechnic Institute, USA), Ji-Eun Lee (Worcester Polytechnic Institute, USA), Alena Egorova (Worcester Polytechnic Institute, USA), and Erin Ottmar (Worcester Polytechnic Institute, USA)
Copyright: © 2023 |Pages: 20
DOI: 10.4018/978-1-6684-9527-8.ch009
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.
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