@inproceedings{9ad4904581cb429fabbadc73e92022cc,
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, Task recommendation, User modeling, Word learning",
author = "Di Zou and Haoran Xie and Wong, {Tak Lam} and Wang, {Fu Lee} and Reggie Kwan and Chan, {Wai Hong}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "495--499",
editor = "Tien-Chi Huang and Rynson Lau and Yueh-Min Huang and Marc Spaniol and Chun-Hung Yuen",
booktitle = "Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers",
}