A balancing act: how can intelligent computer-generated feedback be provided in learner-to-learner interactions?

Authors: Dickinson, Markus¹; Eom, Soojeong²; Kang, Yunkyoung²; Lee, Chong Min²; Sachs, Rebecca²

Source: Computer Assisted Language Learning, Volume 21, Number 4, October 2008 , pp. 369-382(14)

Publisher: Routledge, part of the Taylor & Francis Group

Key:

- Free Content

- New Content

- Subscribed Content

- Free Trial Content

Abstract:

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.

Keywords: intelligent computer-assisted language learning; synchronous computer-mediated communication; communicative tasks; corrective feedback; Korean postpositional particles

Document Type: Research article

DOI: 10.1080/09588220802343702

Affiliations: 1: Department of Linguistics, Indiana University, Bloomington, USA 2: Georgetown University, USA

The full text electronic article is available for purchase. You will be able to download the full text electronic article after payment.

$38.34 plus tax Refund Policy