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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Principals' ICT Management Ability as Predictor of Teachers' Technology Integration in Public Secondary Schools in Anambra State

Authors: Okafor, Judith Nneka; Nwogbo, Vivian Ngozi;

Principals' ICT Management Ability as Predictor of Teachers' Technology Integration in Public Secondary Schools in Anambra State

Abstract

The aim of the study was to investigate Principals' ICT management ability as predictor of teachers' technology integration in public secondary schools in Anambra State. Two research questions guided the study and two null hypotheses were tested at 0.05 level of significance. Correlational survey research design was adopted for the study. The population of the study comprised 5,286 teachers in the 263 public secondary schools in Anambra State. A sample of 528 teachers was drawn using proportionate sampling technique. Two sets of instruments titled: Principals' Technology Leadership Questionnaire (PTLQ) and Teachers' Technology Integration Questionnaire (TTLQ) were used to collect data from the respondents. Data collected were analyzed using simple regression analysis. Findings revealed that Principals' ICT management ability of support is a moderate and significant predictor of teachers' technology integration, while Principals' ICT evaluation ability is a strong and significant predictor of teachers' technology integration. Based on the findings, it was recommended among others that Principals need technology competence and skills to provide ICT facilities and support services for effective ICT programmes in schools in order to increase teachers' technology integration in the school.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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