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ERIC Number: EJ1463216
Record Type: Journal
Publication Date: 2024
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0889-6143
EISSN: EISSN-2832-9414
Available Date: 0000-00-00
Using Content Analysis and Text Mining to Examine the Effects of Asynchronous Online Tutoring on Revision
Susan Lang; Clinton Morrison Jr.; Kathleen Brawley
Writing Center Journal, v42 n3 Article 3 p26-49 2024
What do writers do with the feedback they receive? While the answer will vary depending on the writer's experience and the rhetorical situation, understanding what writers do can provide important information for course redesign and professional development of tutors and instructors. In this first of two manuscripts, the authors examine how first-semester, first-year writing students use responses provided via asynchronous online tutoring (AOT) in revising their assignments. Our primary research question was: What was happening in--and after--those tutorials? We addressed this question by a process of narrowing and refining of data analysis toward increasingly precise inferences as we progressed from automated to coded analysis, which culminated in examining the drafts submitted for tutoring, tutor feedback, and the subsequent assignments submitted for evaluation in the students' FYW courses. In parallel, we describe the writing analytics--informed methods used to do so in hopes that others will be compelled to replicate or extend this work in their own contexts. We found that students made corresponding revisions at both macro and microstructural levels when provided with directive or declarative feedback, and they made few revisions when tutors provided open-ended questions.
Writing Center Journal. e-mail: iwcaofficer@gmail.com; Web site: https://docs.lib.purdue.edu/wcj/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A