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Cognitive Distance and Research Output in Computing Education: A Case-Study | IEEE Journals & Magazine | IEEE Xplore

Cognitive Distance and Research Output in Computing Education: A Case-Study


Abstract:

Contribution: This paper quantifies the phenomenon of more versus better research output in computing research education and elaborates on how the organizational variable...Show More

Abstract:

Contribution: This paper quantifies the phenomenon of more versus better research output in computing research education and elaborates on how the organizational variable known as cognitive distance plays a fundamental role in mediating such more versus better research output relation. Background: To improve the current educational system, investigation and quantification is needed of the “silos.” Cognitive distance-a measure of the differences in background, culture, and expertise between collaborators-may be a factor influencing the lack of quality and variety in research outputs. Addressing this is a key enabler for fruitful collaboration. Research Question: Does collaboration with similarly expert researchers yield better research? Methodology: A quantitative survey provides baseline data for cognitive distance while publication data allowed creation of a co-authorship network between 123 researchers in a European computing research department. The network was analyzed through quantitative and qualitative research methods. Findings: Increased expertise overlaps across sub-fields of computing is a strong predictor for further collaboration (quantity), but research impact (quality) decreases with larger overlaps. This reveals an educational silo effect in doctoral computing education and, consequently, a flaw in the connected research output. The lack of a single, agreed way to evaluate research impact across sub-fields further hinders cross-departmental collaboration among doctoral students. Conclusion: Three recommendations emerge for policy makers and educational leaders: 1) departments should be cross-functional and focused on societal interests; 2) communities of practice should be created at the level of doctoral education and upward; and 3) departments should hold matchmaking and speed-meeting events regularly within and across institutions.
Published in: IEEE Transactions on Education ( Volume: 62, Issue: 2, May 2019)
Page(s): 99 - 107
Date of Publication: 07 October 2018

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Author image of Damian A. Tamburri
Jheronimus Academy of Data Science, Technical University of Eindhoven, Eindhoven, The Netherlands
Damian A. Tamburri received the Ph.D. degree from VU University Amsterdam. He is an Assistant Professor with the Jheronimus Academy of Data Science, s’Hertogenbosch, The Netherlands, and the Technical University of Eindhoven, Eindhoven, The Netherlands. His research interests lie mainly in complex software architectures (with a focus on data-intensive architectures, cloud and microservices), complex software architecture ...Show More
Damian A. Tamburri received the Ph.D. degree from VU University Amsterdam. He is an Assistant Professor with the Jheronimus Academy of Data Science, s’Hertogenbosch, The Netherlands, and the Technical University of Eindhoven, Eindhoven, The Netherlands. His research interests lie mainly in complex software architectures (with a focus on data-intensive architectures, cloud and microservices), complex software architecture ...View more
Author image of Giuliano Casale
Department of Computing, Imperial College London, London, U.K.
Giuliano Casale received the Ph.D. degree in computer engineering from the Politecnico di Milano, Italy, in 2006. In 2010, he joined the Department of Computing, Imperial College London, U.K., where he is currently a Senior Lecturer in modeling and simulation. He has served on the Technical Program Committee of over 80 conferences and workshops. He was a recipient of several awards, including the Best Paper Award at ACM S...Show More
Giuliano Casale received the Ph.D. degree in computer engineering from the Politecnico di Milano, Italy, in 2006. In 2010, he joined the Department of Computing, Imperial College London, U.K., where he is currently a Senior Lecturer in modeling and simulation. He has served on the Technical Program Committee of over 80 conferences and workshops. He was a recipient of several awards, including the Best Paper Award at ACM S...View more

Author image of Damian A. Tamburri
Jheronimus Academy of Data Science, Technical University of Eindhoven, Eindhoven, The Netherlands
Damian A. Tamburri received the Ph.D. degree from VU University Amsterdam. He is an Assistant Professor with the Jheronimus Academy of Data Science, s’Hertogenbosch, The Netherlands, and the Technical University of Eindhoven, Eindhoven, The Netherlands. His research interests lie mainly in complex software architectures (with a focus on data-intensive architectures, cloud and microservices), complex software architecture properties (with a focus on privacy and security), and empirical software engineering (with a focus on organizational, social, and societal aspects). He has been an Active Contributor and a Lead Researcher in many EU FP7 and H2020 projects, such as S-Cube, MODAClouds, SeaClouds, DICE, and DOSSIER-Cloud.
Damian A. Tamburri received the Ph.D. degree from VU University Amsterdam. He is an Assistant Professor with the Jheronimus Academy of Data Science, s’Hertogenbosch, The Netherlands, and the Technical University of Eindhoven, Eindhoven, The Netherlands. His research interests lie mainly in complex software architectures (with a focus on data-intensive architectures, cloud and microservices), complex software architecture properties (with a focus on privacy and security), and empirical software engineering (with a focus on organizational, social, and societal aspects). He has been an Active Contributor and a Lead Researcher in many EU FP7 and H2020 projects, such as S-Cube, MODAClouds, SeaClouds, DICE, and DOSSIER-Cloud.View more
Author image of Giuliano Casale
Department of Computing, Imperial College London, London, U.K.
Giuliano Casale received the Ph.D. degree in computer engineering from the Politecnico di Milano, Italy, in 2006. In 2010, he joined the Department of Computing, Imperial College London, U.K., where he is currently a Senior Lecturer in modeling and simulation. He has served on the Technical Program Committee of over 80 conferences and workshops. He was a recipient of several awards, including the Best Paper Award at ACM SIGMETRICS 2017, and served as the Program Chair for venues such as ACM SIGMETRICS/Performance, MASCOTS, ICAC, ICPE, and QEST.
Giuliano Casale received the Ph.D. degree in computer engineering from the Politecnico di Milano, Italy, in 2006. In 2010, he joined the Department of Computing, Imperial College London, U.K., where he is currently a Senior Lecturer in modeling and simulation. He has served on the Technical Program Committee of over 80 conferences and workshops. He was a recipient of several awards, including the Best Paper Award at ACM SIGMETRICS 2017, and served as the Program Chair for venues such as ACM SIGMETRICS/Performance, MASCOTS, ICAC, ICPE, and QEST.View more
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