The impact of automated writing evaluation on English as a foreign language learners' writing self‐efficacy, self‐regulation, anxiety, and performance.

Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and re...

Full description

Bibliographic Details
Published in:Journal of Computer Assisted Learning Vol. 40; no. 5; pp. 2065 - 2081
Main Authors: Sari, Elif, Han, Turgay
Format: research tables/charts randomized controlled trial Journal Article
Published: Wiley-Blackwell Oct2024
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=181038783&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 181038783
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        02664909
        6M1
      jtl: Journal of Computer Assisted Learning
      issn: 02664909
      maglogo: Y
    pubinfo:
      dt: Oct2024
      vid: 40
      iid: 5
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        181038783
        177272126
        181038783
        181038783
        10.1111/jcal.13004
        181038783
      ppf: 2065
      ppct: 16
      formats:
      tig:
        atl: The impact of automated writing evaluation on English as a foreign language learners' writing self‐efficacy, self‐regulation, anxiety, and performance.
      aug:
        au:
          Sari, Elif
          Han, Turgay
        affil: School of Foreign Languages, Karadeniz Technical University, Trabzon, Turkey
      sug:
        subj:
          English as a Second Language
          Language Education
          Automation
          Teaching Methods
          Teachers
          Feedback
          Students, College Turkiye
          Self-Efficacy
          Self Regulation
          Anxiety
          Academic Performance
          Writing Evaluation
          Human
          Descriptive Statistics
          Data Analysis Software
          Turkiye
          Randomized Controlled Trials
          Quasi-Experimental Studies
          Pretest-Posttest Design
          Faculty-Student Relations
          Multimethod Studies
          Male
          Female
          Adult
          Convenience Sample
          T-Tests
          Scales
          Questionnaires
          Semi-Structured Interview
          Thematic Analysis
          Adult: 19-44 years
          Male
          Female
      ab: Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few studies have investigated how the use of AWE impacts learners' writing‐specific psychological factors, such as self‐efficacy, self‐regulation, and anxiety, from an empirical perspective. Therefore, further experimental studies are needed in this regard. Objectives: This study aimed at examining how a combined automated‐teacher feedback condition in which the students received automated feedback on their sentence‐level errors alongside teacher feedback on content and organization impacted English as a Foreign Language (EFL) students' self‐efficacy, self‐regulation, anxiety, and writing performance, compared with a traditional teacher‐only feedback condition. Methods: The study utilized a quasi‐experimental design in which two intact classes were randomly assigned to the experimental and control groups. During one semester (16 weeks), students in the experimental group received both automated and teacher feedback, referred to in this study as combined automated‐teacher feedback. In contrast, students in the control group received only teacher feedback. Two scales, a questionnaire and a focus group interview, were used to obtain the data. The data were analysed using both quantitative and qualitative techniques. Results and Conclusion: The quantitative results demonstrated no statistically significant difference between the two types of feedback procedures in promoting the use of self‐regulated writing strategies by the students. However, the use of combined automated‐teacher feedback was found to be more effective than conventional teacher‐only feedback in enhancing the students' writing self‐efficacy and writing performance. The two different feedback processes were shown to be ineffective at helping the students' writing anxiety, however. The qualitative data also showed that students had favourable opinions of their experiences with receiving automated and teacher comments together. Implications: Considering the findings of this study regarding the impact of combined automated‐teacher feedback on students' writing self‐efficacy and writing performance, as well as positive student perceptions, it is suggested that this feedback model is used as an alternative to teacher‐only feedback in EFL writing instruction. Lay Description: What is already known about this topic: Online application tools and websites can boost writing self‐efficacy.Technology‐integrated teaching practices can improve learners' self‐regulated writing strategies because these practices provide learners with opportunities to self‐regulate their own learning.Writing anxiety is the fear that the written product will be evaluated by others, especially the teacher, thus when the written product is evaluated by an online tool rather than a human, learners could experience less anxiety.The impact of the use of Automated Writing Evaluation (AWE) systems on students' writing proficiency depends on how they are integrated into the writing instruction. What this paper adds: The combined automated‐teacher feedback model in which the students receive automated feedback from an AWE tool (Criterion in this study) on their sentence‐level errors (i.e., grammar, usage, and mechanics) alongside teacher feedback regarding the content of their written products, is as effective as teacher‐only‐feedback in fostering the students' writing self‐regulation.The combined automated‐teacher feedback model is more effective than teacher‐only‐feedback in enhancing the students' writing self‐efficacy and overall writing performance.Neither combined automated‐teacher feedback nor teacher‐only‐feedback is effective in decreasing the students' writing anxiety. Implications for practice and/or policy: Considering the positive student perceptions, increased writing quality and self‐efficacy, combined automated‐teacher feedback model can be an effective alternative to traditional teacher‐only feedback.Syllabus designers and educators should consider the benefits of integrating AWE systems into the writing instruction process to increase its effectiveness.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        randomized controlled trial
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N