Connecting Generation Z information systems students to technology through the task-technology fit theory

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dc.contributor.author Steyn, Adriana Aletta (Riana)
dc.contributor.author De Villiers, Carina
dc.contributor.author Jordaan, J.C. (Joyce)
dc.contributor.author Pitso, Tshegofatso
dc.date.accessioned 2020-03-26T06:05:06Z
dc.date.available 2020-03-26T06:05:06Z
dc.date.issued 2020
dc.description.abstract This study investigated how an interactive e-resource could be used to increase students’ performance for a specific Information Systems assignment given. As academics we are struggling to find sources that really talk to ‘Generation Z’ in the way they prefer to learn. We wanted to determine if we can create such a resource to increase students’ performance. This study investigates the usefulness of a self-created e-textbook for Systems Analysis and Design through the task-technology fit theory lens. A quantitative data analysis was conducted on a group of undergraduate Information Systems students. A significant association between the characteristics of the tasks and the technology used to perform the specific task was found. A significant association between the students’ understanding of the work and improving their knowledge as well as their contributions to a team was also found. Generation Z relies heavily on peers for assistance even though literature says that their social skills are under-developed. As academics we need to understand the Generation Z, and how they prefer to study, and then create content and tools for them so that they can broaden their knowledge and become life-long learners. Higher education institutions should become more student-centered and less lecturer-centered. en_ZA
dc.description.department Informatics en_ZA
dc.description.librarian hj2020 en_ZA
dc.description.uri http://www.springer.comseries/7899 en_ZA
dc.identifier.citation Steyn A.A., de Villiers C., Jordaan J., Pitso T. (2020) Connecting Generation Z Information Systems Students to Technology Through the Task-Technology Fit Theory. In: Tait B., Kroeze J., Gruner S. (eds) ICT Education. SACLA 2019. Communications in Computer and Information Science, vol 1136. Springer, Cham. en_ZA
dc.identifier.issn 1865-0929
dc.identifier.other 10.1007/978-3-030-35629-3_13
dc.identifier.uri http://hdl.handle.net/2263/73835
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © Springer Nature Switzerland AG 2020. The original publication is available at : http://www.springer.comseries/7899. en_ZA
dc.subject E-textbook en_ZA
dc.subject E-resource en_ZA
dc.subject Interactive textbook en_ZA
dc.subject Generation Z en_ZA
dc.subject Millennials en_ZA
dc.subject Task-technology fit theory en_ZA
dc.subject Information systems education en_ZA
dc.title Connecting Generation Z information systems students to technology through the task-technology fit theory en_ZA
dc.type Postprint Article en_ZA


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