Memory strategies and ESL vocabulary acquisition

Memory strategies and ESL vocabulary acquisition

Dreyer, Carisma;Brits, Jeanette;
per linguam : a journal of language learning 2013 Vol. 10 pp. -
230
dreyer2013memoryper

Abstract

This article compares the effectiveness of three learning strategies (memory strategies) for ESL vocabulary acquisition. Four intact ESL classes were divided into one control group and three treatment groups (keyword, semantic, and keyword-semantic). These Afrikaans-speaking standard 6 pupils then received 4 days of instruction. Both multiplechoice and cued-recall instruments were used to measure effects both 1 day and 9 days after instruction. The results indicated that for both the multiple-choice and cued-recall tests the combined keyword-semantic strategy differed statistically Significantly as well as practically significantly from the keyword method. The results, therefore, suggest that the combined keyword-semantic strategy increased retention above the other strategies. Hierdie artikel vergelyk die effektiwiteit van drie taalleerstrategiee (geheue strategiee) vir die aanleer van woordeskat met mekaar. Vier intak Engels tweedetaal klasse is verdeel in een kontrole groep en drie eksperimentele groepe (sleutelwoord, semantiese en 'n kombinasie van die sleutelwoord-semantiese strategiee). 'n Groep Afrikaanssprekende standerd ses leerlinge het vir 'n tydperk van vier dae onderrig in elk van bogenoemde strategiee ontvang. Multikeuse en "cued-recall" instrumente is gebruik om die effek van onderrig beide een dag en nege dae na eksperimentering te bepaal. Die resultate het aangetoon dat die gekombineerde sleutelwoord-semantiese strategie statisties betekenisvol sowel as prakties betekenisvol van die sleutelwoord strategie en die kontrole groep verskil het. Dit wil dus voorkom asof die gekombineerde sleutelwoord-semantiese strategie die mees belowende strategie is ten opsigte van die retensie van woordeskat.

Citation

ID: 105503
Ref Key: dreyer2013memoryper
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
105503
Unique Identifier:
677a35d313f4a7ea4d57eabb7f67db6f
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet