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Learning software-maintenance tasks in offshoring projects: a cognitive-load perspective

  • University of Bern
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 2012

Publication status

Published - 2012

Publication IDs

  • Scopus: 84886450498

Host publication title

Proceedings of the 33rd International Conference of Information Systems

Abstract

Individual learning is central to the success of the transition phase in software maintenance offshoring projects. However, little is known on how learning activities, such as on-the-job training and formal presentations, are effectively combined during the transition phase. In this study, we present and test propositions derived from cognitive load theory. The results of a multiple-case study suggest that learning effectiveness was highest when learning tasks such as authentic maintenance requests were used. Consistent with cognitive load theory, learning tasks were most effective when they imposed moderate cognitive load. Our data indicate that cognitive load was influenced by the expertise of the onsite coordinator, by intrinsic task complexity, by the degree of specification of tasks, and by supportive information. Cultural and semantic distances may influence learning by inhibiting supportive information, specification, and the assignment of learning tasks.

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