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Stasewitsch, Elena; Kauffeld, Simone – Journal of Learning Analytics, 2022
Knowledge transfer (KT) and innovation diffusion are closely related to each other because it is knowledge regarding an innovation that gets adopted. Little research in learning analytics provides insight into KT processes in two-mode networks, especially in the context of educational innovations. It is unclear how such networks are structured and…
Descriptors: Higher Education, College Faculty, Educational Innovation, Social Networks
Wittner, Britta; Kauffeld, Simone – International Journal for Educational and Vocational Guidance, 2023
An important factor for First Generation High School students (FGS) in higher education is social capital. To highlight differences in social capital between FGS and their Non-FGS peers (NFGS) by analysing the structure of their ego-centred social networks and its' effect on their career planning, we conducted two cross-sectional studies: on high…
Descriptors: Social Capital, Career Planning, First Generation College Students, High School Students
Wittner, Britta; Barthauer, Luisa; Kauffeld, Simone – Journal of College Student Retention: Research, Theory & Practice, 2023
Social support is a crucial factor for first-generation students' (FGS) integration at university and their educational success. FGS are often assumed to lack social support and integration, but research shows mixed results. By means of a mixed-methods approach (combination of interviews and online survey), we aimed to shed light on the…
Descriptors: Foreign Countries, First Generation College Students, Social Capital, Social Networks
Bates, Reid; Kauffeld, Simone; Holton, Elwood F., III – Journal of European Industrial Training, 2007
Purpose: The purpose of this research is to examine the construct and predictive ability of a German version of the Learning Transfer Systems Inventory (GLTSI), an instrument designed to assess a constellation of 16 factors known to influence the transfer of training in work settings. Design/methodology/approach: The survey data for this study was…
Descriptors: Private Sector, Social Desirability, Construct Validity, Predictive Validity