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Do learners really have different preferences?

Leo Sylvio Rüdian; Niels Pinkwart
In: International Conference on Advanced Learning Technologies (ICALT22). IEEE International Conference on Advanced Learning Technologies (ICALT-2022), July 1-4, Bucharest, Romania, ISBN 978-1-6654-9519-6, IEEE, 7/2022.


Online courses have very high dropout rates worldwide. Learners are demotivated based on bad learning experiences. While some factors of online courses could be optimized for all learners, e.g. the quality, it is essential to note that a one-size-fits-all environment is not existing. Some learners are comfortable with certain methods while others may not. In the paper, we identified five learner preferences that can be used to adapt teaching methods in online courses. We provide a 10-item questionnaire, validate it based on exploratory factor analysis, and examine whether learners differ in preferences.