The purpose of this study was to explore the relationship between students’ cognitive engagement with written corrective feedback (WCF) and their revision behavior. Based on the assumption that different levels of cognitive involvement are linked to learners’ use of the feedback, we investigated how different post-feedback activities (i.e., reading, copying, and explaining the feedback) would affect second language writers’ behavioral engagement with WCF during the revision phase. Ninety-eight students were divided into three experimental groups and one control group. Experimental groups performed one of the three post-feedback activities before revising their original writing. The participants’ revision behavior was examined by their uptake of WCF. Additionally, the change in writing quality between the first and the revised drafts was investigated. Results showed that activities that promote deeper cognitive processing generally led to higher uptake of WCF in revision. The effects of post-feedback activities, however, varied for error types. All the post-feedback activities were effective in improving the quality of writing.

Numerous studies have explored the influence of Airbnb on the tourism and hospitality industry. However, relatively few studies have focused on customer engagement. Considering its crucial role of boosting customer satisfaction and behavioral intentions (Harrigan, Evers, Miles, & Daly, 2017; So, King, Sparks, & Wang, 2016), there is a great need for research into Airbnb in terms of customer engagement. Therefore, this study aims to investigate customer engagement, satisfaction, and behavioral intentions among Airbnb users. This study recruited a total of 374 US Airbnb users through Amazon Mechanical Turk (MTurk), which has been increasingly adopted to collect samples in tourism and hospitality studies. Data analysis for structural equation modeling (SEM) was conducted to determine the effects of customer engagement on satisfaction and behavioral intentions of Airbnb users. The results show that customer engagement plays a crucial role in Airbnb user experiences. This study contributes to tourism and hospitality research by applying a customer engagement scale previously developed by So et al. (2016) to examine the relationship between customer engagement and behavioral intention to use Airbnb. In addition to this relationship, satisfaction was included as a mediator to better grasp the importance of customer engagement and the role of satisfaction among U.S. Airbnb users. This research also extends the current literature of Airbnb by examining, through an empirical approach, how customer engagement with Airbnb impacts its users’ behavioral intentions.