Student Revision and Peer Feedback Dataset (Higher Education)

This dataset supports the study examining how different instructional tools and peer feedback influence student revisions in a group-based learning context. A total of 132 university students from Italy, organized into 34 groups, were asked to develop and iteratively revise an assessment rubric across multiple phases. Groups were randomly assigned to four feedback conditions: Rubric, Annotated Exemplar, Articles, and Grades. Revisions were assessed across three time points (T1, T2, T3), including a peer review phase. The dataset contains scores assigned to each group based on multiple rubric components related to structure, language, content, and sustainability, following the framework proposed by Brookhart (2013). At T1 and T2, rubric scores were assigned by a single instructor. At T3, two independent peer raters (J1 and J2) evaluated each group’s work. The final score used in the analyses corresponds to the average of the two peer ratings. Inter-rater agreement for T3 was assessed using the intraclass correlation coefficient (ICC). The dataset enables the replication of the analyses reported in the study, including the examination of performance changes over time and differences across feedback conditions.