READ ME File For Students' Essay Writing Drafts Data Analysis

Dataset DOI: 10.5258/SOTON/D3330

ReadMe Author: Seham Alsharif, University of Southampton ORCID ID 0000-0002-8316-8014

This dataset supports the thesis entitled A Proposed Model of Automated, Peer, and Teacher (APT) Feedback and Its Impact on L2 Learners’ Engagement and Writing Performance Changes Over time
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2024/2025

DESCRIPTION OF THE DATA
The data collection of both the students' essay drafts and the three feedback inputs lasted four weeks. In each task of the four tasks, there were four APT steps which means four drafts were collected from every student. This means that throughout the semester, a total of 16 drafts were collected from each of the 11 students. In other words, the students first wrote their essays. They then sent their original draft numbered as Draft 1, without any improvements, to Grammarly. Then, Grammarly reports were gathered to explore the feedback that students received on their work. these reports were necessary to determine which feedback the students accepted or rejected from the tool. After the students made their decisions about Grammarly feedback, they moved to peer feedback and in this step, each student noted down some comments for her colleague on the adapted checklists. These comments were then analysed in comparison to what the students accepted and rejected from them. At the final step, the students sent their latter draft to the teacher and the teacher commented on every essay some comments. She the return the drafts to the students with her comments so they can modify their work accordingly and sent their final drafts for grading. These drafts were then analysed in comparison to the former draft to know what the students accepted and rejected from the teacher feedback. 
During data analysis, each comment given to each of the 11 students was counted manually whether it came from Grammarly report, peers’ comments, or teacher feedback. These counts were then organized in excel sheets following the coding scheme adapted for this research in terms of what comment that goes under surface-level and meaning-level. The excel sheet presents these numbers and it helped in navigating the students’ progress over four tasks. In addition, the excel program helped in exploring how each source of feedback worked. Doing this helped in producing the figures needed for the students’ L2 writing performance over time and the APT sources unique roles.  

This dataset contains: the analysis process of the main data source for this research. It shows the calculation process made to produce the figures for the students L2 writing performance findings. 




Date of data collection: December 2022 to February 2023

Information about geographic location of data collection: 

Licence:
CC-BY


Date that the file was created: June, 2023

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