Recommended Guidelines for Effective MOOCs based on a Multiple-Case Study
Eduardo Guerra, Fabio Kon, and Paulo Lemos

TL;DR
This paper analyzes data from successful MOOCs to develop guidelines that improve course design and reduce dropout rates, offering practical insights for educators to enhance online learning effectiveness.
Contribution
It presents a set of empirically derived guidelines for designing more effective MOOCs based on a comprehensive case study analysis.
Findings
Identified key factors contributing to MOOC success
Proposed practical guidelines for course design
Provided insights into reducing dropout rates
Abstract
Massive Open Online Courseware (MOOCs) appeared in 2008 and grew considerably in the past decade, now reaching millions of students and professionals all over the world. MOOCs do not replace other educational forms. Instead, they complement them by offering a powerful educational tool that can reach students that, otherwise, would not have access to that information. Nevertheless, designing and implementing a successful MOOC is not straightforward. Simply recording traditional classes is an approach that does not work, since the conditions in which a MOOC student learns are very different from the conventional classroom. In particular, dropout rates in MOOCs are, normally, at least an order of magnitude higher than in conventional courses. In this paper, we analyze data from 7 successful MOOCs that have attracted over 150,000 students in the past years. The analysis led to the proposal…
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Taxonomy
TopicsOnline Learning and Analytics · Software System Performance and Reliability · E-Learning and Knowledge Management
