Bibliographic Details
| Title: |
ASSESSING HUMAN KINETICS AND HEALTH EDUCATION PRE-SERVICE TEACHERS' ATTITUDE TOWARDS USING SOCIAL MEDIA PLATFORM FOR INSTRUCTIONAL CONTENT DELIVERY IN SCHOOLS. |
| Authors: |
OLARINOYE, Awujoola1 awujoolafunkeolarinoye@gmail.com |
| Source: |
Journal Plus Education / Educaţia Plus. 2023 Special Issue, Vol. 33, p111-119. 9p. |
| Subject Terms: |
*Health education teachers, *Teacher attitudes, *Social media, *Student teachers, Cronbach's alpha, Research questions |
| Abstract: |
This study assessed the Human Kinetics and Health Education pre-service teachers' attitude towards using social media platform for instructional delivery in schools. The study was a descriptive study. The target population for this study were all the Human Kinetics and Health Education pre-service teachers at the Federal University Dutsin-ma, Katsina State. Simple random sampling technique was used to select one hundred (100) Human Kinetics and Health Education pre-service teachers among 485 in the school. Questionnaire was the instrument used in this study and two research questions and one research hypothesis were used to guide the conduct of the study. The reliability of the instrument after subjecting it to Cronbach alpha was 0.82. was established. The results of the findings revealed that, Human Kinetics and Health Education preservice teachers have positive attitude towards using social media for learning in school, and there was no significant difference in the attitude of both male and female towards using social media for learning in school. Based on this, it was recommended that, the school authority should encourage the use of social media for learning curriculum content in school. [ABSTRACT FROM AUTHOR] |
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Copyright of Journal Plus Education / Educaţia Plus is the property of Aurel Vlaicu University of Arad, Gabriela Keleman and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Education Research Complete |