Characterizing MOOC Pedagogies: Exploring Tools and Methods for Learning Designers and Researchers

Author:

Quintana Rebecca MaryORCID,Tan YuanruORCID

Abstract

We explore new tools and methods for learning designers and researchers to characterize pedagogical approaches that are applied to the design of MOOCs. This paper makes three main contributions to literature on MOOC design and evaluation: (1) an Expanded Assessing MOOC Pedagogies instrument for use by learning designers and researchers within their own contexts, (2) a demonstration of how nearest neighbor cluster analysis can be used to identify pedagogically similar MOOCs, and (3) a preliminary analysis of the clusters to account for features and factors that contribute to pedagogical similarity of MOOCs within clusters. This work advances research in the development of MOOC typologies, to allow learning designers and researchers to ask nuanced questions about pedagogical aspects of MOOC design.

Publisher

The Online Learning Consortium

Subject

Computer Networks and Communications,Education

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Challenges for Novice MOOC Designers;2022 IEEE Learning with MOOCS (LWMOOCS);2022-09-29

2. An explainable attention-based bidirectional GRU model for pedagogical classification of MOOCs;Interactive Technology and Smart Education;2022-09-06

3. Pedagogical Classification Model Based on Machine Learning;Lecture Notes on Data Engineering and Communications Technologies;2022-09-01

4. A Sentiment Analysis Based Approach to Fight MOOCs’ Drop Out;Networking, Intelligent Systems and Security;2021-10-02

5. Estudio y evaluación del diseño de las actividades de aprendizaje de los MOOC de la Colección de Aprendizajes Clave;Revista de Educación a Distancia (RED);2021-09-25

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