L2 Writers’ Processing of Teacher vs. Computer-generated Feedback

Autor: Shiva Kaivanpanah, Mohammad Alavi, Rose Meschi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of English Language Teaching and Learning, Vol 12, Iss 26, Pp 175-215 (2020)
Druh dokumentu: article
ISSN: 2251-7995
2676-6876
DOI: 10.22034/elt.2020.11472
Popis: Writing is thought as the most complicated skill in second language acquisition; therefore, L2 researchers have always been in pursuit of discovering an effective approach to improve it. One of the most debated ways is feedback which has a key role in improving the quality of writing. Much of the previous research on feedback has focused on analyzing different types of feedback and their effect on the learners’ writings and few studies have examined the effectiveness of computer feedback. Therefore, the present study was conducted to 1) determine what aspects of students’ writings receive computer feedback, 2) examine the difference in the effect of computer-generatedfeedback (CBF) and Teacher-based feedback (TBF) on improving the students’ writing quality and 3) compare the differences in Depth of Processing (DOP) in processing computer and teacher feedback. The results indicated that content, style and organization of their essays received feedback from the teacher and the computer. Teacher feedback was more effective in terms of its impact on improving the quality of the writing of the students than computer-generatedfeedback and it resulted in deeper processing of lexical items, whereas computer-generated feedback invoked medium processing on grammar.
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