What lexical information do L2 learners select in a CALL dictionary and how does it affect word retention?

By B. Laufer. Language Learning & Technology, 2000

360 citations recorded by the source corpus.

This study investigated the relationship between what people looked up about new words when different kinds of information were available and how well they remembered those words. Dictionary information was incorporated into a computer-assisted language learning (CALL) program comprised of text, highlighted low-frequency words, and access to different lexical information about these words (explanation in English, translation into the first language, sound, root, and extra information) . Participants were English as a Foreign Language college students in Hong Kong and Israel. Twelve low-frequency words were examined for incidental learning. Students were asked to read on-screen text and understand it so they could take a comprehension test. They could look up unknown words in the CALL dictionary. After task completion, students were unexpectedly tested on meaning recall of target words. Researchers investigated possible connections between retention and lookup behavior (type of information selected and number of lookups per word) . Overall, different students had different lookup preferences. The use of multiple dictionary information reinforced retention. Results highlight the importance of providing different lookup options catering to varying lookup preferences in paper or CALL dictionaries when assigning tasks involving reading comprehension and understanding of unfamiliar words. (Contains 42 references.) (SM) Reproductions supplied by EDRS are the best that can be made from the original document. What Lexical Information Do L2 Learners Select in a CALL Dictionary and How Does It Affect Word Retention? Batia Laufer Monica Hill In: "Language Learning & Technology" v3 n2 (January 2000): 58-76 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/5c648f35e16820077e2da550d54d0f4107f1e824

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In Artificial Intelligence

  1. Paul Nation
  2. A. Pellicer‐Sánchez
  3. Alan Hunt
  4. Youngkyu Kim
  5. D. Beglar
  6. Jihyun Nam
  7. Stuart Webb
  8. N. Schmitt

In Developmental and Educational Psychology

  1. Paul Nation
  2. A. Pellicer‐Sánchez
  3. Bridget Dalton
  4. C. Patrick Proctor
  5. D. Beglar
  6. Alan Hunt
  7. Stuart Webb
  8. Youngkyu Kim

In Language and Linguistics

  1. A. Pellicer‐Sánchez
  2. Paul Nation
  3. C. Patrick Proctor
  4. Alan Hunt
  5. Bridget Dalton
  6. Youngkyu Kim
  7. D. Beglar
  8. Dana L. Grisham

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