Vom 20.12.2025 bis 11.01.2026 ist die Universitätsbibliothek geschlossen. Ab dem 12.01.2026 gelten wieder die regulären Öffnungszeiten. Ausnahme: Medizinische Hauptbibliothek und Zentralbibliothek sind bereits ab 05.01.2026 wieder geöffnet. Weitere Informationen

Treffer: Problem solving in everyday office work—a diary study on differences between experts and novices.

Title:
Problem solving in everyday office work—a diary study on differences between experts and novices.
Source:
International Journal of Lifelong Education; Jul/Aug2015, Vol. 34 Issue 4, p448-467, 20p
Database:
Complementary Index

Weitere Informationen

Contemporary office work is becoming increasingly challenging as many routine tasks are automated or outsourced. The remaining problem solving activities may also offer potential for lifelong learning in the workplace. In this study, we analyzed problem solving in an office work setting using an Internet-based, semi-standardized diary to collect data close to the process. Thirteen employees in commercial departments of an automotive supplier participated voluntarily; they recorded 64 domain-specific problem cases in total. Typical problems were moderately complex but rather urgent. They were detected by means of monitoring, augmented feedback or feedback from others. The problems detected provoked states of high arousal, including both negative and positive emotions. We found that seeking support from others was the most common approach to problem solving, and that in general problem solving offered considerable learning possibilities. Experts were confronted with more complex problems than novices, they more often solved problems using their domain-specific knowledge, but they also preferred social support. Surprisingly, experts reported higher negative emotional states after having detected a problem than novices. The results, the diary method and the limitations of the study are discussed. [ABSTRACT FROM PUBLISHER]

Copyright of International Journal of Lifelong Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)