Computer Assisted Language Learning
Task-based synchronous computer-mediated communication (CMC) may represent an optimal psycholinguistic environment for form-meaning connections, but learners do not receive feedback from a trusted authority. Intelligent computer-assisted language learning (ICALL) provides feedback, but the encouragement of communicative interaction remains largely unexplored. To combine the benefits of ICALL and CMC, we are designing a parser-based system that provides feedback on particle usage for first-year L2 Korean learners while they chat in CMC. Both to facilitate the use of a new orthography by beginning learners and to make processing feasible for the ICALL system, we guide the content of the activity by using picture-based information-gap tasks and a game record, and we control the range of allowable learner input by using a word bank. These constraints enable the system to address L2 errors in meaningful, goal-driven interactions.
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Bibtex entry:
@Article{dickinson:ea:08,
author = {Markus Dickinson and Soojeong Eom and Yunkyoung Kang and
Chong Min Lee and Rebecca Sachs},
title = {A balancing act: how can intelligent computer-generated
feedback be provided in learner-to-learner interactions?},
journal = {Computer Assisted Language Learning},
year = {2008},
volume = {21},
number = {4},
pages = {369--382},
month = {October},
note = {\url{http://jones.ling.indiana.edu/~mdickinson/papers/dickinson-ea-call08.html}}
}