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Special issue

A MOOC based on blended pedagogy

S. Rayyan

Corresponding Author

Department of Physics, Massachusetts Institute of Technology, , USA

Correspondence: Saif Rayyan, Department of Physics, Massachusetts Institute of Technology, USA. Email:

srayyan@mit.edu

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C. Fredericks

HarvardX, Harvard University, , USA

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K.F. Colvin

Department of Educational and Counseling Psychology, University at Albany, , SUNY, USA

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A. Liu

Department of Physics, Massachusetts Institute of Technology, , USA

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R. Teodorescu

Science, Engineering, and Technology Unit, Montgomery College, , USA

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A. Barrantes

Department of Physics, Massachusetts Institute of Technology, , USA

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A. Pawl

Department of Engineering Physics, University of Wisconsin – Platteville, , USA

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D.T. Seaton

VPAL Research, Harvard University, , USA

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D.E. Pritchard

Department of Physics, Massachusetts Institute of Technology, , USA

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First published: 19 March 2016
Cited by: 4

Abstract

We describe three iterations of a Massive Open Online Course (MOOC) developed from online preparation materials for a reformed introductory physics classroom at the Massachusetts Institute of Technology, in which the teaching staff interact with small groups of students doing problems using an expert problem‐solving pedagogy. The MOOC contains an e‐text, simple checkpoint problems and homework. We show how certain course design aspects affect student behaviour: (a) frequent quizzes correlated with students reading a large fraction of the e‐text, and (b) When homework sets are arranged by increasing (instructor‐estimated) difficulty, we found strong correlations between difficulty and time to solution, but weak correlations with percent correct. Modifications to the second offering of the course resulted in higher retention. These modifications included targeting physics teachers and posting materials well in advance. We define retention as certificates earned relative to participants who make a significant effort on the second assignment. Retention measured this way varied between 44% and 72%, being highest in the course aimed at teachers. We show that there is significant learning among MOOC participants. Applying item response theory to common homework problems showed that the MOOC participants had significantly higher ability than students in a Massachusetts Institute of Technology course and that they maintained this advantage over the duration of the MOOC.

Number of times cited: 4

  • , Progress and new directions for teaching and learning in MOOCs, Computers & Education, 10.1016/j.compedu.2018.10.019, (2018).
  • , Open Educational Practices: a learning way beyond free access knowledge, Ensaio: Avaliação e Políticas Públicas em Educação, 0, (2017).
  • , A MOOC-Based Flipped Class: Lessons Learned from the Orchestration Perspective, Digital Education: Out to the World and Back to the Campus, 10.1007/978-3-319-59044-8_12, (102-112), (2017).
  • 2016 IEEE Frontiers in Education Conference (FIE) Erie, PA, USA 2016 IEEE Frontiers in Education Conference (FIE) IEEE , (2016). 978-1-5090-1790-4 Hybrid teaching mode for laboratory-based remote education of computer structure course , (2016). 1 8 7757582 , 10.1109/FIE.2016.7757582 http://ieeexplore.ieee.org/document/7757582/