@inproceedings{df76d4d8f6094656aa3bac8e19206c4a,
title = "An explicit learner profiling model for personalized word learning recommendation",
abstract = "Word knowledge is the foundation of language acquisition for second language learners. Due to the diversity of background knowledge and language proficiency levels of different learners, it is essential to understand and cater for various needs of users in an e-learning system. A personalized learning system which meets this requirement is therefore necessary. Users may also be concerned about the possible risk of revealing their private information and prefer controls on the personalization of a system. To leverage these two factors: personalization and control, we propose an explicit learner profiling model for word learning task recommendation in this paper. This proposed profiling model can be fully accessed and controlled by users. Moreover, the proposed system can recommend learning tasks based on explicit user profiles. The experimental results of a preliminary study further verify the effectiveness of the proposed model.",
keywords = "Language acquisition, Word learning, User modeling, Task recommendation",
author = "Di ZOU and Haoran XIE and Tak-lam WONG and WANG, {Fu Lee} and Reggie KWAN and CHAN, {Wai Hong}",
note = "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), the Internal Research Grant (RG 66/2016-2017) and the Start-Up Research Grant (RG 37/2016-2017R) of The Education University of Hong Kong.; 2nd International Symposium on Emerging Technologies for Education, SETE 2017 ; Conference date: 20-09-2017 Through 22-09-2017",
year = "2017",
doi = "10.1007/978-3-319-71084-6_58",
language = "English",
isbn = "9783319710839",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature Switzerland AG",
pages = "495--499",
editor = "HUANG, {Tien-Chi } and Rynson LAU and Yueh-Min HUANG and Marc SPANIOL and Chun-Hung YUEN",
booktitle = "Emerging Technologies for Education : Second International Symposium, SETE 2017, held in conjunction with ICWL 2017, Cape Town, South Africa, September 20-22, 2017, revised selected papers",
address = "Switzerland",
}