Investigating effects of automated feedback on EFL students' reflective learning skills

Gary K S Cheng, Ellie Yuen Yi Law, Tak-Lam Wong

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

This paper explores and discusses the effects of automated feedback on English as Foreign Language (EFL) students' reflective learning skills demonstrated in their reflective journals. Primary data was collected from reflective journals and essays prepared by 138 Chinese undergraduate students in an English language course over a period of 3 months. Participants were divided into the experimental (N = 82) and control (N = 56) groups. Both groups received the same class instruction from the same teacher, but only those in the experimental group was given access to the automated feedback on their reflective journals. The study reveals that the experimental group achieved a significant improvement in their reflective learning skills across different journals while the control group did not. It is also found that participants who demonstrated a higher level of analytical skills in their reflective journals tended to achieve a higher essay grade. The findings suggest that automated feedback can be a valuable tool in developing students' reflective learning skills, and show a positive link between reflective learning skills and essay writing skills.
Original languageEnglish
Title of host publicationProceedings of 2016 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)
PublisherIEEE
Pages226-230
Number of pages5
ISBN (Electronic)9781509055982
ISBN (Print)9781509055999
DOIs
Publication statusPublished - Dec 2016
Event2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) - Bangkok, Thailand
Duration: 7 Dec 20169 Dec 2016
https://ieeexplore.ieee.org/xpl/conhome/7819650/proceeding

Publication series

NameProceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
ISSN (Electronic)2470-6698

Conference

Conference2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
Country/TerritoryThailand
CityBangkok
Period7/12/169/12/16
Internet address

User-Defined Keywords

  • automated feedback
  • reflective journal
  • EFL writing
  • higher education

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