2015
DOI: 10.1007/978-3-319-18425-8_10
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FRAMES – A Framework for Adaptable Mobile Event-Contingent Self-report Studies

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Cited by 7 publications
(2 citation statements)
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“…Mobile-phone surveys can be designed such that learners can log their interactions as close to possible to when and where they occurred. Combined with survey data and big-data analysis techniques (i.e., using data-mining software to study structured and unstructured data, such as emails, travel logs, social media posts), we can obtain a comprehensive view of their interactions (Christensen et al 2011; Dax et al 2015). As with all study-abroad research, there are obvious ethical concerns to consider, especially as regards tracking learners.…”
Section: Research Agendas and Tasksmentioning
confidence: 99%
“…Mobile-phone surveys can be designed such that learners can log their interactions as close to possible to when and where they occurred. Combined with survey data and big-data analysis techniques (i.e., using data-mining software to study structured and unstructured data, such as emails, travel logs, social media posts), we can obtain a comprehensive view of their interactions (Christensen et al 2011; Dax et al 2015). As with all study-abroad research, there are obvious ethical concerns to consider, especially as regards tracking learners.…”
Section: Research Agendas and Tasksmentioning
confidence: 99%
“…As issues and publics can shape each other mutually (Dewey 1927), we may also have to look for issue formation, a process of maturation in which several pre-issues may be considered until a stable issue emerges. While collecting the data, we may need to be aware of the pre-maturity of issues we look at, and it may require an ongoing adjustment by the researchers to make sure that their research follows interesting and relevant traces throughout the formation, what we call 'open-heart empirics' (Dax et al 2015). With this term we describe the (re)configuring of a study frame and adjustment of research goals during the empirical phase.…”
Section: Timelines Of Publics Vs Timelines Of Researchmentioning
confidence: 99%