Abstract

By adapting the job demands-resources model of Demerouti et al. "Journal of Applied Psychology," 86(3), 499-512, (2001) to vocational problem-solving situations, we aimed to investigate how, and to what extent, problem-solving demands and personal resources affect stress responses and task interest. Therefore, we used a problem-solving task from the business administration domain in a computer-based office simulation. We assigned 58 participants into two groups. The treatment group worked on the problem scenario, whereas the control group was instructed to inspect the computer-based scenario and to check the software's usability without solving the problem. Problem-solving demands, perceived stress, task interest, cardiovascular parameters, and cortisol concentration were assessed before, during and after the task at several time points. The vocational problem-solving task was associated with perceived time pressure, uncertainty, mental effort, task difficulty, and perceived stress. In addition, we found higher heart rate and cortisol concentration and lower heart rate variability values in the treatment group (compared to the control group) at the end of the task. Furthermore, we found that content knowledge buffers the impact of problem-solving demands on stress responses and it maintains task interest under high mental effort. Overall, we found evidence that vocational problem-solving activities bear stress-evoking potential and personal resources may provide buffering and maintaining functions.

Citation

Kärner, T., Minkley, N., Rausch, A., Schley, T. & Sembill, D. (2018). Stress and Resources in Vocational Problem Solving. Vocations and Learning, 11(3), 365-398. Retrieved August 13, 2024 from https://www.learntechlib.org/p/189938/.

This record was imported from ERIC on January 9, 2019. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

• Attention
• Computer Simulation
• Difficulty Level
• educational technology
• Metabolism
• problem solving
• Psychological Patterns
• Stress Variables
• Student Interests
• Technology Uses in Education
• vocational education