short-paper

Measuring Cultural Dimensions of Learning in Online Courses

Authors:

Marianne E. Krasny,

René F. KizilcecAuthors Info & Claims

L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale

Pages 395 - 399

https://doi.org/10.1145/3491140.3528333

Published: 01 June 2022 Publication History

Abstract

Online courses lower geographic barriers to educational access and attract learners from around the world. The resulting cultural diversity in online courses has implications for learning preferences, behaviors and outcomes, but established measures of culture are not adapted to educational contexts. We adapted and tested a survey instrument of cultural dimensions of learning that is grounded in cultural psychology research and spans four dimensions: knowledge construction, pedagogical orientation, uncertainty tolerance, and consensus building. We collected 600 responses in two online courses, conducted an explanatory factor analysis, and compared responses across five countries. We found that the instrument has a clear factor structure with high internal consistency, and it can distinguish cultures between countries. The instrument can be used to better understand learners and their culture in the process of course design and evaluation.

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Cited By

Albuquerque JRienties BHolmes WHlosta M(2024)From hype to evidence: exploring large language models for inter-group bias classification in higher educationInteractive Learning Environments10.1080/10494820.2024.2408554(1-23)Online publication date: 25-Oct-2024
https://doi.org/10.1080/10494820.2024.2408554

Index Terms

Measuring Cultural Dimensions of Learning in Online Courses
1. Applied computing
  1. Education
    1. Distance learning
2. Social and professional topics
  1. User characteristics
    1. Cultural characteristics

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cover image ACM Other conferences

L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale

June 2022

491 pages

ISBN:9781450391580

DOI:10.1145/3491140

General Chair:
René F. Kizilcec
Cornell University, USA
,
Program Chairs:
Katie Davis
University of Washington, USA
,
Xavier Ochoa
New York University, USA

Copyright © 2022 ACM.

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New York, NY, United States

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Published: 01 June 2022

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L@S '22

L@S '22: Ninth (2022) ACM Conference on Learning @ Scale

June 1 - 3, 2022

NY, New York City, USA

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Cited By

Albuquerque JRienties BHolmes WHlosta M(2024)From hype to evidence: exploring large language models for inter-group bias classification in higher educationInteractive Learning Environments10.1080/10494820.2024.2408554(1-23)Online publication date: 25-Oct-2024
https://doi.org/10.1080/10494820.2024.2408554

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