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Module Based on Pedagogical Content Knowledge to Increase the Engagement and Skills of the Future Teachers in Designing a Lesson Plan

机译:基于教学内容知识的模块,可提高未来教师在设计教学计划中的参与度和技能

摘要

Lesson plans is the most important component in preparing a quality learning. Teachers\u27 low understanding on pedagogical content knowledge affects their skills in designing learning. It needs serious effort to equip future teachers with pedagogical content knowledge to produce professional teachers. The aim of this study is to increase the engagement and skills of future teachers in designing lesson plans using module based on pedagogical content knowledge. College-students engagement indicators are adopted from Students Engagement Instrument (SEI)-Appleton, Christenson, Kim, and Reschly, consisting of affective and cognitive engagement. The skill in question are the ability to writing the subject\u27s identity, writing competencies, formulating indicators, compiling teaching materials, designing media, choosing learning method, compiling learning scenarios, as well as designing assessment. This research is a classroom action research that is designed in two cycles of learning with the number of respondents is 73 college-students. Each learning cycle is consisting of planning, implementation, observation, and reflection. The data collection techniques was self-report, observation, portfolios, interviews, field notes, and study documentation. Descriptive statistics were used to analyse the quantitative data, whereas qualitative data were analysed by qualitative analysis of Miles & Hubberman model. The results showed that the PCK-based module is able to increase college-students engagement and ability in designing a lesson plan.
机译:课程计划是准备高质量学习的最重要组成部分。教师对教学内容知识的理解不足会影响他们设计学习的技能。要为未来的教师配备教学内容知识,以培养专业的教师,需要付出巨大的努力。这项研究的目的是提高未来教师在使用基于教学内容知识的模块设计课程计划时的参与度和技能。大学生参与度指标采用的是学生参与度仪器(SEI)-Appleton,Christensson,Kim和Reschly,其中包括情感和认知参与度。所讨论的技能包括:写出对象的身份,写作能力,制定指标,编写教材,设计媒体,选择学习方法,编写学习方案以及设计评估的能力。这项研究是一项课堂行动研究,设计为两个学习周期,被调查者为73名大学生。每个学习周期都包括计划,实施,观察和反思。数据收集技术包括自我报告,观察,档案袋,访谈,实地记录和研究文档。描述性统计用于分析定量数据,而定性数据则通过对Miles&Hubberman模型进行定性分析来分析。结果表明,基于PCK的模块能够提高大学生的参与度和设计课程计划的能力。

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