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Frontiers in Educational Research, 2022, 5(23); doi: 10.25236/FER.2022.052311.

Research on the quality improvement strategy of online training for teachers based on the ARCS model

Author(s)

Yuzhe Liu1, Wang Yang2

Corresponding Author:
Yuzhe Liu
Affiliation(s)

1Jungwon University, South Korea. 85, Mumu-ro, Goesan-eup, Goesan-gun, Chungbuk, 28024, Republic of Korea

2Northeast Petroleum University, Daqing, Heilongjiang, 163318, China

Abstract

At present, many teachers lack good enthusiasm and less learning investment in training, resulting in unsatisfactory training quality, and online training is even more difficult to stimulate the enthusiasm of training participants, and the ARCS model, based on the breakthrough of learners' internal learning motivation, promotes learners' interest to be stimulated, so that they can increase learning investment, and then achieve good results, so the application of ARCS mode to teacher online training is of great significance and value to promote the quality of online training. Based on this, this paper first briefly introduces the ARCS model, then analyzes the principles that should be followed in online training for teachers based on the ARCS model, and finally elaborates on the design of online training for teachers in the ARCS model, respectively, from the emphasis on the improvement of learning attention of participating teachers. Enhance the learning relevance of participating teachers; Strengthen training services to enhance the self-confidence of participating teachers; Strengthen evaluation and feedback, and promote the improvement of learning satisfaction of participating teachers, and put forward a strategy to improve the quality of online training for teachers based on the ARCS model.

Keywords

ARCS mode; Online teacher training; Principle; Promotion policy

Cite This Paper

Yuzhe Liu, Wang Yang. Research on the quality improvement strategy of online training for teachers based on the ARCS model. Frontiers in Educational Research (2022) Vol. 5, Issue 23: 47-52. https://doi.org/10.25236/FER.2022.052311.

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