TY - GEN
T1 - The load-based learner profile for incidental word learning task generation
AU - Zou, Di
AU - Xie, Haoran
AU - Li, Qing
AU - Wang, Fu Lee
AU - Chen, Wei
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - incidental word learning
KW - involvement load
KW - learner profile
UR - http://www.scopus.com/inward/record.url?scp=84905833460&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09635-3_21
DO - 10.1007/978-3-319-09635-3_21
M3 - Conference contribution
AN - SCOPUS:84905833460
SN - 9783319096346
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 190
EP - 200
BT - Advances in Web-Based Learning, ICWL 2014 - 13th International Conference, Proceedings
T2 - 13th International Conference on Advances in Web-Based Learning, ICWL 2014
Y2 - 14 August 2014 through 17 August 2014
ER -