Abstract
In the current big data era, we have witnessed the prosperity of emerging massive open online courses, user-generated data and ubiquitous techniques. These evolving technologies and applications have significantly changed the ways for people to learn new knowledge and access information. To find users’ desired data in an effective and efficient way, it is critical to understand/model users in applications involving in such a large volume of learning resources. For instance, word learning systems can be promoted significantly in terms of learning effectiveness if the pre-knowledge on vocabulary of learners can be predicted accurately. In this research, we focus on the issue of how to model a specific group of users, i.e., language learners, in the context of e-learning systems. Specifically, we try to predict the pre-knowledge on vocabulary of learners from their previous learning documents such as writing assignments and reading essays. The experimental study on real participants shows that the proposed predicting model is very effective and can be exploited for various applications in the future.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
We re-scale the degree of the value to [0,1] for the two baselines.
References
Chen, C.-M., Hsu, S.-H., Li, Y.-L., Peng, C.-J.: Personalized intelligent m-learning system for supporting effective english learning. In: IEEE International Conference on Systems, Man and Cybernetics, SMC 2006, vol. 6, pp. 4898–4903. IEEE (2006)
Chen, C.-M., Li, Y.-L.: Personalised context-aware ubiquitous learning system for supporting effective english vocabulary learning. Interact. Learn. Environ. 18(4), 341–364 (2010)
Ching-Kun, H., Gwo-Jen, H., Chih-Kai, C.: A personalized recommendation-based mobile learning approach to improving the reading performance of efl students. Comput. Educ. 63, 327–336 (2013)
Yueh-Min, H., Yong-Ming, H., Shu-Hsien, H., Yen-Ting, L.: A ubiquitous english vocabulary learning system. Comput. Educ. 58(1), 273–282 (2012)
Jung, J., Graf, S.: An approach for personalized web-based vocabulary learning through word association games. In: International Symposium on Applications and the Internet, SAINT, pp. 325–328. IEEE (2008)
Laufer, B., Hulstijn, J.H.: Incidental vocabulary acquisition in a second language: The construct of task-induced involvement. Appl. Linguist. 22(1), 1–26 (2001)
Li, Q., Lau, R.W.H., Wah, B.W., Ashman, H., Leung, E.W.C., Li, F., Lee, V.: Guest editors’ introduction: emerging internet technologies for e-learning. IEEE Internet Comput. 13(4), 11–17 (2009)
Ogata, H., Li, M., Hou, B., Uosaki, N., El-Bishouty, M.M., Yano, Y.: Scroll: supporting to share and reuse ubiquitous learning log in thecontext of language learning. Res. Pract. Technol. Enhanced Learn. 6(2), 69–82 (2011)
Paribakht, T.S., Wesche, M.B.: Reading comprehension second language development in a comprehension-based esl program. TESL Can. J. 11(1), 09–29 (1993)
Webb, S.: Receptive and productive vocabulary learning. Stud. Second Lang. Acquisit. 27(1), 33–52 (2005)
Xie, H., Li, Q., Mao, X.: Context-aware personalized search based on user and resource profiles in folksonomies. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds.) APWeb 2012. LNCS, vol. 7235, pp. 97–108. Springer, Heidelberg (2012)
Xie, H., Li, Q., Mao, X., Li, X., Cai, Y., Rao, Y.: Community-aware user profile enrichment in folksonomy. Neural Netw. 58, 111–121 (2014)
Zou, D., Xie, H., Li, Q., Wang, F.L., Chen, W.: The load-based learner profile for incidental word learning task generation. In: Popescu, E., Lau, R.W.H., Pata, K., Leung, H., Laanpere, M. (eds.) ICWL 2014. LNCS, vol. 8613, pp. 190–200. Springer, Heidelberg (2014)
Zou, D., Xie, H., Wang, F.L., Wong, T.-L., Wu, Q.: Investigating the effectiveness of the uses of electronic and paper-based dictionaries in promoting incidental word learning. In: Cheung, S.K.S., Kwok, L.-F., Yang, H., Fong, J., Kwan, R. (eds.) ICHL 2015. LNCS, vol. 9167, pp. 59–69. Springer, Heidelberg (2015)
Acknowledgement
The work described in this paper was fully supported by a grant from Research Grants Council of Hong Kong Special Administrative Region, China (UGC/FDS11/E06/14), a grant from the National Natural Science Foundation of China (Grant No. 61502545), a grant from the Soft Science Research Project of Guangdong Province (Grant No. 2014A030304013), and “the Fundamental Research Funds for the Central Universities” (Grant No. 46000-31610009).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Zou, D., Xie, H., Wong, TL., Rao, Y., Wang, F.L., Wu, Q. (2016). Predicting Pre-knowledge on Vocabulary from e-Learning Assignments for Language Learners. In: Gong, Z., Chiu, D., Zou, D. (eds) Current Developments in Web Based Learning. ICWL 2015. Lecture Notes in Computer Science(), vol 9584. Springer, Cham. https://doi.org/10.1007/978-3-319-32865-2_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-32865-2_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32864-5
Online ISBN: 978-3-319-32865-2
eBook Packages: Computer ScienceComputer Science (R0)