An Investigation on Task Difficulty: Does Task Difficulty Depend on the Technology Used in Task Completion?
No Thumbnail Available
Date
2024
Authors
Toker, Sacip
Toker,S.
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery, Inc
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Previous research indicates that task difficulty (i.e., students' judgments on a task's complexity) impacts their task performance. However, whether students' perceived task difficulty changes depending on the technology they use when completing tasks is still under investigation. The present study aims to address this gap in the literature. One hundred twenty-three students completed the study procedures. Students were randomly assigned to one of four groups (one control group and three experimental groups). Students were not allowed to use any technology in the control group. In contrast, those in experimental groups were permitted to use one of the following tools: e-textbook, Google, and ChatGPT. Students in each group completed three tasks with different complexities in the same order. The data was analyzed using repeated-measures ANOVA. The study revealed a significant interaction effect between groups and task difficulty perceptions at three levels. In all groups, perceived difficulty increased as the task complexity increased, but the change in students' perceived task difficulty across three tasks was impacted by the tool used when completing the tasks. © 2024 Owner/Author.
Description
ACM SIGCSE; Association for Computing Machinery (ACM)
Keywords
generative AI, task difficulty, task performance
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
WoS Q
Scopus Q
Source
SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education -- 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024 -- 20 March 2024 through 23 March 2024 -- Portland -- 197936
Volume
2
Issue
Start Page
1552
End Page
1553