以 DECODE 为基础的 STEM 研习班提高职前教师的学术适应能力和教学能力

Rajasekaran Rajasekaran, P. S. Sreedevi, Chun-Yen Chang
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引用次数: 0

摘要

本研究探讨了 DECODE 模式和学术适应力,以提高职前教师(PSTs)的教学能力。在不断变化的教育环境中,有效的教学需要教学技能和解决问题的能力。要在逆境中适应并取得成功,教师的应变能力变得越来越重要。发展、探究、合作、观察、辩论和评估使 DECODE 模式成为一种革命性的教学方法。本研究探讨了 DECODE 的采用和学术适应力如何影响 PST 的进步,从而影响教师的准备和培训。本文献综述对 DECODE 模式、教学能力和学业适应能力进行了背景分析。为来自不同学术水平的 97 名 PST 举办了以 STEM 为基础的研讨会。通过关联样本 JAMOVI t-test 检验研修班后学业适应力的变化。t 值和 p 值(<0.05)均表明,学业适应能力在统计上有显著提高。DECODE 模式显著提高了学员的教学能力得分。教学效果和抗挫折能力是相关联的,这强调了教师做好充分准备的必要性。结果表明,DECODE 模式和培训提高了教学技能和学习适应能力。
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DECODE-based STEM workshop in improving academic resilience and teaching competency of pre-service teachers
This study examines DECODE model and academic resilience to improve pre-service teachers’ (PSTs) teaching abilities. Effective teaching in the changing context of education requires pedagogical skills and problem-solving. Teacher resilience is becoming more important to adapt and succeed in adversity. Development, inquiry, cooperation, observation, debate, and assessment make DECODE model a revolutionary teaching method. This study examines how DECODE adoption and academic resilience affect PSTs’ progress to influence teacher preparation and training. DECODE paradigm, instructional competence, and academic resilience are contextualized in this literature review. STEM-based workshop for 97 PSTs from various academic levels. Linked samples JAMOVI t-test examines academic resilience changes post-workshop. Both t-values and p-values (<0.05) show a statistically significant improvement in academic resilience. DECODE model improves participant scores for teaching competency statistically significantly. Teaching effectiveness and resilience are linked, emphasizing the necessity for thorough teacher preparation. Results show DECODE model and the training improve teaching skills and academic resilience.
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
128
期刊介绍: EURASIA Journal of Mathematics, Science and Technology Education is peer-reviewed and published 12 times in a year. The Journal is an Open Access Journal. The Journal strictly adheres to the principles of the peer review process. The EJMSTE Journal publishes original articles in the following areas: -Mathematics Education: Algebra Education, Geometry Education, Math Education, Statistics Education. -Science Education: Astronomy Education, Biology Education, Chemistry Education, Geographical and Environmental Education, Geoscience Education, Physics Education, Sustainability Education. -Engineering Education -STEM Education -Technology Education: Human Computer Interactions, Knowledge Management, Learning Management Systems, Distance Education, E-Learning, Blended Learning, ICT/Moodle in Education, Web 2.0 Tools for Education
期刊最新文献
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