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Erschienen in: Journal of Computing in Higher Education 2/2019

19.03.2019

Student-to-student connectedness in higher education: a systematic literature review

verfasst von: Jason MacLeod, Harrison Hao Yang, Yinghui Shi

Erschienen in: Journal of Computing in Higher Education | Ausgabe 2/2019

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Abstract

Student-to-student connectedness is promoted by active, student-centered learning processes. It is a socio-psychological result of interpersonal communication and behavior in the classroom, which emulates belonging, cohesiveness, and supportiveness among peers. Currently, two survey instruments exist—Dwyer et al.’s (Commun Res Rep 21(3):264–272, 2004. https://​doi.​org/​10.​1080/​0882409040935998​8) Connected Classroom Climate Inventory and Johnson’s (Commun Res Rep 26(2):146–157, 2009. https://​doi.​org/​10.​1080/​0882409090286162​2) amendment thereof, which have been used for nearly two decades to gain insight into instructional processes in face-to-face environments. However, research on student-to-student connectedness is relatively limited in the context of modern, technology-mediated learning environments. Arguably, where student-to-student connectedness is most urgently needed because of the decrease in face-to-face contact time between students and their instructors within online and hybrid learning environments. This study is a systematic literature review that presents a synthesis of twenty-four peer-reviewed journal articles, which empirically investigate student-to-student connectedness within face-to-face, hybrid, and online environments. The documentation of data is organized in accordance to the six aspects of activity theory (subjects, objects, mediating artifacts, rules, community, division of labor) to provide a basis for understanding the dynamics of each research report, as well as to assist identifying the trends and gaps in the literature, thereby expediting future research on this topic.

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Metadaten
Titel
Student-to-student connectedness in higher education: a systematic literature review
verfasst von
Jason MacLeod
Harrison Hao Yang
Yinghui Shi
Publikationsdatum
19.03.2019
Verlag
Springer US
Erschienen in
Journal of Computing in Higher Education / Ausgabe 2/2019
Print ISSN: 1042-1726
Elektronische ISSN: 1867-1233
DOI
https://doi.org/10.1007/s12528-019-09214-1

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