Evidence map›Paper›PMID 36571085›Full record

ArticleEducation and information technologies2022

Teachers' and school administrators' perceptions of emergency distance education.

Nesip Demirbilek

Open access · bronzeAbstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
15.1field-weighted citation impact, top 1% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Nesip DemirbilekBingöl University, Genç Vocational School, 12500 Bingöl, Turkey.ORCID 0000-0001-5133-7111
Bingöl University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research was conducted to determine the perceptions of school administrators and teachers about Covid-19 and distance education. The research is a descriptive study conducted to reflect the specific characteristics of the participants. In this context, the research model is the scanning model. In the population of the study, 31 school administrators and 156 teachers voluntarily participated in a province of Turkey in the 2020-2021 academic year. An easily accessible situation sampling technique was used in determining the participants. Within the scope of the research, a distance education satisfaction questionnaire was developed based on the experiences of the researcher himself, and an information form containing the personal information of the participants was used to collect data. The data within the scope of the research were collected by sending the data collection tool prepared online to school administrators and teachers. The data collection tool was delivered to participants via WhatsApp groups via google forms. While analyzing the data obtained within the scope of the study, descriptive statistical analyzes were made in all questions and basic statistical values ​​such as frequency, percentage, standard deviation, mode, median was reported. At the end of the study, it was determined that half of the participants did not consider the distance education conducted in their schools during the epidemic period to be sufficient. Administrators and teachers; 49.7% of them stated that they could partially benefit from distance education while conducting the lessons, 40.1% stated that it is not appropriate to conduct the lessons with distance education, and 10.2% stated that all the lessons could be conducted by distance education.

Indexed as

Academic motivationApplicationDistance EducationInternetTechnology

Identifiers

PMID36571085
PMCPMC9765351
OpenAlexW4312210697

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.