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The Effects of Collaborative Learning on Students’ English Learning Motivation and Style

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Innovative Technologies and Learning (ICITL 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11937))

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Abstract

The study focuses on the investigation of English as a foreign language (EFL) students’ learning motivation and style. Moreover, the study highlights the usage of collaborative learning as the teaching strategy, which is different from traditional teaching method. Teacher made EFL students learn collaboratively to see if it could assist them to learn more efficiently. The study recruited 100 tenth-grade students in Kaohsiung City. They were sorted into two classes: one is the experimental class; the other is the control class. In the process of experiment, the English teacher asked the students in Experimental Class some questions based on the textbook content so that the students could conduct group discussions in each lesson of the semester. Regarding the Control Class, the English teacher guides the students to learn the content according to their textbooks, and doesn’t give the students any group discussion questions. The results designate that students’ English learning performance improved and their learning motivation and attitude heightened in the process of collaborative learning. Students have a high evaluation of collaborative learning because their burden in the learning process is reduced. What’s more, they enjoy the fun of interacting with others.

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Correspondence to Tai-Liang Wu .

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Peng, HH., Wang, IT., Wu, TL. (2019). The Effects of Collaborative Learning on Students’ English Learning Motivation and Style. In: Rønningsbakk, L., Wu, TT., Sandnes, F., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science(), vol 11937. Springer, Cham. https://doi.org/10.1007/978-3-030-35343-8_12

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  • DOI: https://doi.org/10.1007/978-3-030-35343-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35342-1

  • Online ISBN: 978-3-030-35343-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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