Abstract
Although there have been numerous studies on autonomous language learning, most of them deal principally with the introduction and analysis of the theoretical background of learner autonomy, application, the role played by learner variables such as attitudes, beliefs, strategies and roles, strategy implementation and course design principles for autonomous language learning. So far no effort has been made to construct an evaluation index system and evaluation model to evaluate the undergraduate EFL learners’ autonomous English learning competence in China. Thus, this study aims to apply the system theory, fuzzy theory and education theory into the systematic analysis and comprehensive evaluation of the students’ autonomous English learning competence.
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References
Holec, H.: Autonomy and Foreign Language Learning. Pergamon Press, Oxford (1981)
Littlewood, W.: Defining and developing autonomy in East Asian contexts. Applied Linguistics 20/1, 71–94 (1999)
Dickinson, L.: Talking shop: aspects of autonomous learning. ELT Journal 47, 330–336 (1993)
Little, D.: Learner autonomy is more than a Western cultural construct. In: Cotterall, S., Crabbe, D. (eds.) Learner Autonomy in Language Learning: Defining the Field And Effecting Change, pp. 11–18. Peter Lang, Frankfurt (2008)
Gieve, S., Clark, R.: The Chinese approach to learning: Cultural trait or situated response? The case of a self-directed learning programme. System 33, 261–276 (2009)
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Wu, S. (2011). The EFL Learners’ Learning Ability Evaluation Model Based on Web in China. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23339-5_25
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DOI: https://doi.org/10.1007/978-3-642-23339-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23338-8
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