Technostress levels of science field faculty members in the Kyrgyz Republic

The purpose of this study was to examine the technostress levels of science field faculty members in the Kyrgyz Republic. The relational survey model was used to investigate whether there was a significant difference and a relationship between demographic variables such as gender, age, field of science, seniority, technological education level, and availability of a personal computer in terms of technostress and its sub-dimensions. The sample of the study consisted of 274 science faculty members, with 156 females and 118 males working at different universities in the Kyrgyz Republic. “Personal Data Form” and “Defining Teachers’ Technostress Levels Scale” were used as data collection tools in the study. The results showed that the general technostress levels of the participants were at a medium level. General technostress levels and technostress sub-dimensions scores of science faculty members did not differ by their genders, ages, seniorities, technology educations, and availability of their computers. There was a low level of positive correlation between age and the scores of the occupational and personal sub-dimensions of technostress; It was determined that there was a low-level, positive, statistically significant relationship between the seniority variable and the personal-oriented sub-dimension. It can be concluded that as the year of seniority progresses, academicians' technostress scores also increase. These findings reveal that seniority has certain effects on the technostress levels of academicians, but these effects vary based on sub-dimensions.

Authors

Institutions

Publication Details

Journal
Innoeduca International Journal of Technology and Educational Innovation
Published
2024-12-01
DOI
https://doi.org/10.24310/ijtei.102.2024.18046
Citations
2
Primary Topic
Technostress in Professional Settings
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technostress levels of science field faculty members in the Kyrgyz Republic

Gulshat Muhametjanova, Kalipa Salíeva, A. Alimbekov, Erkan Efıltı et al.
2 citations
Innoeduca International Journal of Technology and Educational Innovation
Technostress in Professional Settings
1.29
article

Technostress levels of science field faculty members in the Kyrgyz Republic

Gulshat Muhametjanova, Kalipa Salíeva, A. Alimbekov, Erkan Efıltı, Аida Musaevna Akmatalieva, Argen Zhumgalbekov, Bakyt Borkoev
article en
2 citations

Abstract

The purpose of this study was to examine the technostress levels of science field faculty members in the Kyrgyz Republic. The relational survey model was used to investigate whether there was a significant difference and a relationship between demographic variables such as gender, age, field of science, seniority, technological education level, and availability of a personal computer in terms of technostress and its sub-dimensions. The sample of the study consisted of 274 science faculty members, with 156 females and 118 males working at different universities in the Kyrgyz Republic. “Personal Data Form” and “Defining Teachers’ Technostress Levels Scale” were used as data collection tools in the study. The results showed that the general technostress levels of the participants were at a medium level. General technostress levels and technostress sub-dimensions scores of science faculty members did not differ by their genders, ages, seniorities, technology educations, and availability of their computers. There was a low level of positive correlation between age and the scores of the occupational and personal sub-dimensions of technostress; It was determined that there was a low-level, positive, statistically significant relationship between the seniority variable and the personal-oriented sub-dimension. It can be concluded that as the year of seniority progresses, academicians' technostress scores also increase. These findings reveal that seniority has certain effects on the technostress levels of academicians, but these effects vary based on sub-dimensions.

Innoeduca International Journal of Technology and Educational InnovationVol. 10(2)
Kyrgyz-Türkish Manas Üniversity (KG)
Quality Education
Openalex Percentile: Top 17%
Technostress in Professional Settings
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.