Quotation Hall, Margeret, Baysa, Kaitlyn, Snell Cantu, Matt. 2021. Proceedings of the International Conference on Information Systems. In Demystifying Research (Methods): Epistemological Design to Reduce Student Anxiety and Increase Content Enjoyment, Hrsg. AIS, 1-17. Austin, TX, USA: AIS Association for Information Systems.


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Abstract

Research Methods is a frequently-unloved course for students and instructors alike. However, successful research methods courses are linked to high-value and long-term outcomes such as stronger career preparation and higher information literacy. We propose reimaging Research Methods courses for Information Systems and Information Technology degrees as an epistemic undertaking to reduce student anxiety and increase positive experiences with research. We outline and evaluate one such course in this proof-of-value case study, finding that over half of the students achieved these goals. Those students who did not realize the intended outcomes did not have a worse experience; however, their newfound understanding of research cemented their disinterest in pursuing research careers. We propose reconsidering Research Methods' institutional inclusion in IS curricula as a mechanism supporting diversification of junior researchers.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Proceedings of the International Conference on Information Systems
Title of whole publication Demystifying Research (Methods): Epistemological Design to Reduce Student Anxiety and Increase Content Enjoyment
Editor AIS
Page from 1
Page to 17
Location Austin, TX, USA
Publisher AIS Association for Information Systems
Year 2021
URL https://aisel.aisnet.org/icis2021/diglearn_curricula/diglearn_curricula/2/
Open Access N

Associations

People
Hall, Margeret (Details)
External
Baysa, Kaitlyn (University of Nebraska at Omaha, United States/USA)
Snell Cantu, Matt (University of Nebraska at Omaha, United States/USA)
Organization
Institute for Cognition & Behavior IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1127 Information science (Details)
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