The load-based learner profile for incidental word learning task generation

Di Zou, Haoran Xie, Qing Li, Fu Lee Wang, Wei Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

27 Citations (Scopus)

Abstract

In recent years, the popularity and prosperity of mobile technologies and e-learning applications offer brand-new learning ways for people. English, as the most widely used language and the essential communication skill for people in the 'earth village' nowadays, has been widely learned by speakers of other languages. The importance of word knowledge in learning a second language is broadly acknowledged in the second language research literature. However, comparing with incidental word learning, the intentional learning method has the shortages of motivating reduction, simple acquisition and contextual deficiency. To address these problems, in this paper, we therefore proposed an incidental word learning model for e-learning. In particular, we measure the load of various incidental word learning tasks from the perspective of involvement load hypothesis so as to construct load-based learner profiles. To increase the effectiveness of various word learning activities and motivate learners better, a task generation method is developed based on the load-based learner profile. Moreover, we conduct experiments on real participants, and empirical results of which have further verified the effectiveness of the task generation method and the enjoyment of word learning.

Original languageEnglish
Title of host publicationAdvances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings
PublisherSpringer-Verlag
Pages190-200
Number of pages11
ISBN (Print)9783319096346
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event13th International Conference on Advances in Web-Based Learning, ICWL 2014 - Tallinn, Estonia
Duration: 14 Aug 201417 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8613 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Advances in Web-Based Learning, ICWL 2014
CountryEstonia
CityTallinn
Period14/08/1417/08/14

Keywords

  • incidental word learning
  • involvement load
  • learner profile

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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