Evidence map›Paper›PMID 35464113›Full record

ArticleEducation and information technologies2022

The relationship between Technostress levels and job satisfaction of Teachers within the COVID-19 period.

Osman Aktan, Çetin Toraman

Abstract read
In one paragraph

Article in Education and information technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Osman AktanFaculty of Education, Duzce University, Duzce, Turkey.ORCID https://orcid.org/0000-0001-6583-3765
Çetin ToramanFaculty of Medicine, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.ORCID https://orcid.org/0000-0001-5319-0731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to determine the technostress levels experienced by teachers in distance education during the COVID-19 period and examine the relationship between this technostress level and job satisfaction. The research was structured in relational comparison type. The attendees comprised 525 teachers working at different echelons of education, determined in accordance with the purposive sampling method. Technostress Scale, job satisfaction scale, and open-ended questions form were used as data collection tools during the research. The data were collected online through Google Forms due to COVID-19 conditions. Descriptive statistics, backward hierarchical multiple regression (BHMR), MANOVA analysis, and inductive content analysis were used for the data analysis. According to the research findings, it was figured out that teachers were exposed to intensive use of technology in distance education, this negatively affected their life and performance, their workload increased, and they had to put much more effort to adapt to modern technologies in the Covid-19 pandemic period. It was found that the teachers' job satisfaction levels were high in general, and the female teachers' job satisfaction levels were higher than those of male teachers. The job satisfaction levels of private school teachers were lower than those of public-school teachers. In the research, the gender of teachers and the institution type they work under, both being among the main factors affecting teachers' technostress level, were determined to make a significant difference. However, the distance education process, conducted during the COVID-19 period, was also noted to involve educational, psychological, and administrative challenges. Based on research results, it is recommended to improve teachers' online learning and technology literacy skills, and review present undergraduate programs in terms of preparation for distance education.

Indexed as

Covid 19Distance EducationJob satisfactionTeacherTechnostress

Identifiers

PMID35464113
PMCPMC9013736

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.