Integrating Video Technology in Micro-Teaching Sessions for Teacher-Traineesa Self-Appraisal and Professional Growth

Abam

Integrating Video Technology in Micro-Teaching Sessions for Teacher-Traineesa Self-Appraisal and Professional Growth

Abam Arikpo * §

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§ Univesity of Calabar, Nigeria.

Integrating Video Technology in Micro-Teaching Sessions for Teacher-Traineesa Self-Appraisal and Professional Growth

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Abstract

The study examined the relationship between the use of video technology and teacher trainees’ self-appraisal for progressive professional perfectibility. Two null hypotheses were formulated to guide the study. The quasi-experiment involved 100 third year students of the Faculty of Education, Cross River University of Technology engaged in microteaching. Data was obtained through a well validated ten-item Teacher Trainee Affective Response Questionnaire (TTARQ) developed on a four point Likert-scale by the researchers. The analysis of data was done using Pearson product moment correlation coefficient and independent t-test analysis for the first and second hypotheses respectively at 0.05 level of significance and 98 degree of freedom. The result of the study shows that there is a significant relationship between the use of video technology and teacher trainees’ self-appraisal and evaluation, gender notwithstanding. The study therefore canvassed for the patronage of multi-media technology application in microteaching to enable teacher-trainees objectively assess their performance and also by their instructors and colleagues.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Abam. 2014. "Integrating Video Technology in Micro-Teaching Sessions for Teacher-Traineesa Self-Appraisal and Professional Growth". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 13 (GJCST Volume 13 Issue G4).

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GJCST Volume 13 Issue G4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-G Classification K.4.0

Submission ReceivedDecember 8, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published February 3, 2014

Version of record

v1.2

Issue date

February 3, 2014

Language

English

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Article Matrices

Total Score: 105

Country: Nigeria

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Ekpo-Eloma, E. O, Arikpo, A., Catherine N. Ebuta (PhD/Dr. count: 0)

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Publish Date: 2013 01, Tue

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Total Views: 3.8K

Total Downloads: 180

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