Online peer editing: effects of comments and edits on academic writing skills.

Although the effects of online peer editing have been studied from a number of perspectives, it remains unclear how giving and receiving comments and edits affect student academic writing performance. The current study examined the influence of these aspects of peer editing on student academic writing performance in higher education during online peer editing. Participants were 76 students engaged in peer editing of one another's work in a graduate scientific writing course at a Korean university. The relationships between the giving and receiving of comments and edits, and student performance on their writing tasks were analyzed. Results showed that there is a positive correlation between the number of comments received and the student's writing score, whereas receiving edits had the opposite effect and was associated with lower student performance. Furthermore, no relationship was found between giving comments or edits and writing performance. These results add to the field's understanding of how specific elements of peer editing can impact students' performance.

A protocol for analyzing repeated measures of online group behavior.

In this article, we feature a novel protocol that enables the analysis of repeated measures of online group behavior. The protocol accounts for (1) the nested hierarchy of the data with weeks nested in persons, and persons nested in weeks, and (2) the temporal nature of the behavior at the early, mid, and late periods of each week. To manage and analyze such data in a general way, we first give an illustration of the data structure. Thereafter, we propose a five-step Courtney-Fanguy-Costley protocol that (1) considers the data structure, (2) defines the levels of data, (3) considers variable variation, timing, and necessary aggregation, (4) ensures necessary variation, and (5) specifies null and mixed-effects models. We also provide exemplary R code for readers to replicate our approach.•A general five-step protocol for analyzing repeated measures of online group behavior is offered.•A description of the complex nested data structure is offered.•Users can simulate data in R to run through the protocol.

Adapting educational experiences for the chemists of tomorrow.

Technical universities are constantly experimenting with innovative student-centred classroom approaches. We describe flipped and linked classroom approaches in the context of our ongoing chemical education theme of catalysis.