Reducing the Impact of Emergency Remote Teaching Through an Understanding of Personal Digital Ecosystems

This two-phase mixed methodology study, relevant to STEM educational stakeholders and researchers in emergency remote teaching (ERT) and ICT for education, explored college students’ and graduates’ attitudes and usage patterns of educational ICT in the U.S. and Japan and identified affordances of the technology for both text and audio-based activities of various lengths. The research was divided into two phases, with the first a qualitative analysis utilizing a questionnaire and coding, which informed the second phase, a quantitative analysis of device and activity associations utilizing $k$ -means analysis. The findings suggest that these participants have a sophisticated understanding of their personal digital ecosystems and practice a form of dynamic “affordance switching” that matches devices to activities. This is reassuring when considering the need for a sudden move to off-site teaching necessitated by an ERT. The $k$ -means analysis identified three main devices out of six commonly used devices and associated those three with specific task characteristics. The Laptop PC was the most universally associated device, followed by the smartphone and traditional paper-based nondigital devices. These findings can inform administrators seeking to supply devices to students during ERT on a limited budget.