What Massive Open Online Course (MOOC) Stakeholders Can Learn From Learning Analytics?

TL;DR

This paper discusses how Learning Analytics can benefit MOOC stakeholders by analyzing course data to improve learning outcomes, presenting a prototype integrated into the iMooX platform and exploring its potential applications.

Contribution

It introduces a Learning Analytics prototype for MOOCs, demonstrates its integration into iMooX, and explores its potential to enhance decision-making and learning optimization.

Findings

Identification of hidden patterns in MOOC data

Potential for improved learner performance

Use cases demonstrating analytics benefits

Abstract

Massive Open Online Courses (MOOCs) are the road that led to a revolution and a new era of learning environments. Educational institutions have come under pressure to adopt new models that assure openness in their education distribution. Nonetheless, there is still altercation about the pedagogical approach and the absolute information delivery to the students. On the other side with the use of Learning Analytics, powerful tools become available which mainly aim to enhance learning and improve learners performance. In this chapter, the development phases of a Learning Analytics prototype and the experiment of integrating it into a MOOC platform, called iMooX will be presented. This chapter explores how MOOC Stakeholders may benefit from Learning Analytics as well as it reports an exploratory analysis of some of the offered courses and demonstrate use cases as a typical evaluation of this prototype in order to discover hidden patterns, overture future proper decisions and to optimize learning with applicable and convenient interventions.