Pre-service Teachers' Characteristics Predict their Technological Knowledge: An Exploratory Multiple-Regression Design

Q1 Social Sciences
Clarke Ebow Yalley, Ernest Sarpong Akore, Philemon Afutor
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引用次数: 0

Abstract

Academic discourse has highlighted the influence of pre-service teachers' technological knowledge as a cord linking their pedagogy and content integration. However, pre-service teachers' demographic characteristics play a crucial role in their technological knowledge development. As a result, this study examined how prospective teachers' demographic variables predict their technological knowledge. A census survey with an exploratory multiple-regression design was adopted to test the relationship of the predictive variables (programme of study, gender, central area of specialization, and minor area of specialization) of Abetifi Presbyterian College of Education pre-service teachers. A census technique was used to include all the 379 level 400 pre-service teachers pursuing Bachelor of Education (Primary Education) and Bachelor of Education (Junior High School Education) for the 2021/2022 academic year. A five-point closed-ended questionnaire with a Cronbach alpha coefficient of 0.758 was used as the primary data collection instrument. The study's findings indicated that prospective teachers were technologically knowledgeable in recognizing, accepting, adapting, exploring and advancing technological resources. The study's findings established that demographic variables were statistically significant predictors of pre-service technological knowledge. For teacher training institutions to address the technological challenges of prospective teachers, technological resources applicable within their subject areas of specialization should be used during instruction. Teacher educators should consider the background characteristics of prospective teachers in order to select and adjust technological resources to whip prospective teachers' interest in the use of innovative resources during instruction.
职前教师特征对其技术知识的预测:探索性多元回归设计
学术论述强调了职前教师的技术知识作为连接其教学方法和内容整合的纽带的影响。然而,职前教师的人口学特征对其技术知识的发展起着至关重要的作用。因此,本研究考察了未来教师的人口统计变量如何预测他们的技术知识。采用探索性多元回归设计的人口普查方法,对阿贝蒂菲长老会教育学院职前教师的预测变量(专业、性别、中心专业和次要专业)之间的关系进行检验。采用人口普查技术,对2021/2022学年攻读教育学士(小学教育)和教育学士(初中教育)的379名400级职前教师进行了调查。采用Cronbach alpha系数为0.758的五点封闭式问卷作为主要数据收集工具。研究结果显示,准教师在识别、接受、适应、探索和推进技术资源方面具有技术知识。研究结果表明,人口统计学变量是职前技术知识的显著预测因子。为了使教师培训机构解决未来教师的技术挑战,应在教学过程中使用适用于其专业学科领域的技术资源。教师教育工作者应考虑准教师的背景特点,选择和调整技术资源,激发准教师在教学中使用创新资源的兴趣。
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来源期刊
Journal of Social Studies Education Research
Journal of Social Studies Education Research Social Sciences-Social Sciences (miscellaneous)
CiteScore
2.90
自引率
0.00%
发文量
0
审稿时长
28 weeks
期刊介绍: Journal of Social Studies Education Research (JSSER) (ISSN: 1309-9108) is an international, scholarly open access, peer-reviewed and fully refereed journal focusing on theories, methods and applications in Social Studies Education. As an international, online-only journal it is devoted to the publication of original, primary research (theoretical and empirical papers) as well as practical applications relating to Social Studies Education.
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