Evidence map›Paper›PMID 34163416›Full record

ArticleFrontiers in psychology2021

Preschool Teachers' Technology Acceptance During the COVID-19: An Adapted Technology Acceptance Model.

Xiumin Hong, Mingzhu Zhang, Qianqian Liu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Preschool Teachers' Intentions to Use GenAI: Extending UTAUT.Behavioral sciences (Basel, Switzerland) · 2026
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  4. Perceptions of Dental Teachers about Blended Learning: A Qualitative Analysis.International journal of clinical pediatric dentistry · 2024
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  6. Article
  7. On the Technology Acceptance Behavior of Romanian Preschool Teachers.Behavioral sciences (Basel, Switzerland) · 2023
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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

3 authors.

Xiumin HongInstitute of Early Childhood Education, Faculty of Education, Beijing Normal University, Beijing, China.
Mingzhu ZhangInstitute of Early Childhood Education, Faculty of Education, Beijing Normal University, Beijing, China.
Qianqian LiuInstitute of Early Childhood Education, Faculty of Education, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online education has become a major reaction to the COVID-19 epidemic, which requires preschool teachers to quickly adapt to online education and accept educational technology. In this emergency background, research on the preschool teachers' technology acceptance provides clues to improve preschool teachers' intention to use educational technology. The Technology Acceptance Model (TAM) is widely used to examine the process of individuals' technology acceptance in the previous literature. Therefore, this study seeks to examine preschool teachers' technology acceptance with the adapted TAM and their determinant factors. The proposed model was empirically validated by using survey data from 1,568 preschool teachers during the COVID-19. Results indicate that preschool teachers' behavioral intention was moderate to high level. Perceived usefulness and perceived ease of use are direct significant predictors of preschool teachers' behavioral intention. Perceived usefulness is affected by perceived ease of use and job relevance. Computer self-efficacy and perceptions of external control are the positive factors toward perceived ease of use. Our findings present powerful evidence for the applicability of the adapted TAM in a sample of Chinese preschool teachers under emergency circumstances. These results highlighted some potential avenues for interventions aimed at improving preschool teachers' acceptance toward educational technology.

Indexed as

behavioral intentionCOVID-19determinant factorspreschool teacherstechnology acceptance model

Identifiers

PMID34163416
PMCPMC8215170

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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.