Abstract
Reading is one of the key methods to learn English, especially for the EFL (English as Foreign Language) students. For the purpose of assisting students in learning the English terminology of a professional (technical) course, this study aims at finding reading sequences among pre-collected articles and determining one ending article for each reading sequence. The topics or contents described in the articles are all highly related to the specific professional course. The determination of the ending article depends on the relations among the articles. The relation is defined by professional terminology overlap between articles. Floyd-Warshall algorithm and clustering concepts are utilized in the recommendation of the ending article and reading sequences. Brief simulation results of the algorithm are also illustrated in the paper.
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Acknowledgement
This work is supported by the Research Project of University Teaching Reformation granted by Education Department of Fujian Province (Project Number: FBJG20170130).
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Sung, TW., Fang, Q., Lu, YT., Hu, X. (2021). Article Reading Sequencing for English Terminology Learning in Professional Courses. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_17
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DOI: https://doi.org/10.1007/978-3-030-58669-0_17
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