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教师资格证面试自我介绍

时间:2022-10-26 07:06:44 面试 我要投稿

教师资格证面试自我介绍范文

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教师资格证面试自我介绍范文

  【体育专业】

  我是一名有着13年教龄的体育教师,中学体育教育一级职称,来到xxxxxx中学任教之前,一直工作在xxxxxx中学。

  在十三年的教育教学实践中,通过自己的努力和各学科老师的帮助,逐步形成了自己的教学风格,注重身教,师生相处和谐,有较强的课堂组织调控能力和课程创新能力。积极参加教科研活动,2002年参加了合肥市首批新课程改革试验,并在省教科所体育教研组的带领下,参与了国家级课题《超体重儿童健康行为的实验与研究》的研究,荣获国家二等奖,撰写的论文中,《中学生体育课的教法与激趣》一文发表在《安徽教育论坛》2001年第二期,《认识CAI》在2001年合肥市电化教学论文评比中获二等奖,《议中学生体育兴趣的培养》一文荣获2000年度合肥中市区教育学会举办的教育教学论文评比二等奖。在学科竞赛中,2001年获合肥市首届体育教师(初中组)基本功比赛一等奖,同年参加安徽省第二届中小学体育教师教学基本功比赛,获初中组个人总分二等奖。1998-2000年获合肥市学校体育工作先进个人,2001年被xx区任命为首批“骨干教师”并保持至今,2002年获合肥市电化教育(现代教育技术)工作先进个人。

  四十三中学工作期间,除了从事体育教育工作之外,还担任其他一些工作,也获得了一些成绩。自95年开始,一直担任学校团委书记一职,亲手创立的“中学生团校”在2001年获得安徽省优秀中学生团校示范团校(当年合肥唯一),同年获得安徽省中学共青团工作先进个人称号;是合肥市第十二次团代会代表,也是安徽省第十一次团代会代表。担任学校科技活动小组组长期间,在小组全体师生共同努力下,2001年获“首届全国青少年电脑机器人竞赛”优秀辅导员称号,并获得中学组创意赛二等奖辅导员奖;2003年获安徽省青少年电脑机器人比赛第一名(领队兼教练);2004年8月,辅导学生参加合肥市第四届中小学电脑制作初中组机器人竞赛,荣获合肥市初中组一等奖。

  在体育专业上,我擅长篮球、排球和羽毛球;在素质拓展中,我曾参加过北大青鸟ACCP专业的学习,并获得北大青鸟和国家劳动部联合办法的“初级软件工程师”证书,比较精通网络知识,侧重于动态网站的建设和管理,能熟练运用office软件和Dreamweaver、Flash等软件,曾独自为xx区司法局和组织部建立了单位网站。

  过去的成绩已经随着原来学校的消失而灰飞烟灭,我将以一名新教师的状态开始我在xxxxxxx中学的工作。在xxxxxxx中学富有特色教育教学管理模式的熏陶下,在这温馨和谐的大家庭里,我一定充分发挥自己的优点,积极投身庐中教育,成为一名优秀的教师。谢谢大家!

  【数学专业】

  各位考官早上好。我是郑州师范学院数学系xxxx届数学教育专业的一名毕业生,名叫XXX,很高兴能有机会在此向各位考官学习!

  广西师范学院数学系是我们学院最悠久、教学质量最优异的系别,在此学习环境下,使我的知识能力受益匪浅。在学好专业课的同时,我勤练教师基本技能,有较好的教学语言表达能力,掌握了教育学和心理学的许多知识,在假期从事的家教工作中加以运用。在实习期间,我思索激励教法、课件制作和教具选择,在课堂上取得了学生主动要学的效果,得到了校领导和指导老师的好评。

  我出生于教师家庭,对父辈循循善诱的引导深受感染;对父辈们的殷殷嘱咐,使我踏踏实实、勤勤恳恳做人;对所受到的学校教育,让我用科学的理论知识的专业技能干好每一件事;坦诚、踏实的性格,让我在工作中与领导、同事相处融洽,较好的完成了各项任务。

  我期望:有一个合适的平台,用我的热情和智慧去全力开拓、耕耘。

  我希望:能到贵学校任职,为贵校的发展出一份力,相信我的付出也正是您的英明选择!

  我坚信:只要不断地在社会这个大熔炉中学习,用“心”去面对一切,必然能不断战胜自己、超越自己,逐步走向成功!

  【英语专业】

  Good morning my name is xxxxx it is really a great honor to have this opportunity for a interview. i would like to answer whatever you may raise and i hope i can make a good performance today .

  I am a third year master major in automation at Shanghai Jiao Tong University P. R. China. With tremendous interest in Industrial Engineering I am writing to apply for acceptance into your Ph.D. graduate program.

  Education background

  In 1995 I entered the Nanjing University of Science &Technology (NUST) -- widely considered one of the China’s best engineering schools. During the following undergraduate study my academic records kept distinguished among the whole department. I was granted First Class Prize every semester and my overall GPA(89.5/100) ranked No.1 among 113 students. In 1999 I got the privilege to enter the graduate program waived of the admission test. I selected the Shanghai Jiao Tong University to continue my study for its best reputation on Combinatorial Optimization and Network Scheduling where my research interest lies.

  At the period of my graduate study my overall GPA(3.77/4.0) ranked top 5% in the department. In the second semester I became teacher assistant that is given to talented and matured students only. This year I won the Acer Scholarship as the one and only candidate in my department which is the ultimate accolade for distinguished students endowed by my university. Presently I am preparing my graduation thesis and trying for the honor of Excellent Graduation Thesis.

  Research experience and academic activity

  When a sophomore I joined the Association of AI Enthusiast and began to narrow down my interest for my future research. In 1997 I participated in simulation tool development for the scheduling system in Prof. Wang’s lab. With the tool of OpenGL and Matlab I designed a simulation program for transportation scheduling system. It is now widely used by different research groups in NUST. In 1998 I assumed and fulfilled a sewage analysis &dispose project for Nanjing sewage treatment plant. This was my first practice to convert a laboratory idea to a commercial product.

  In 1999 I joined the distinguished Professor Yu-Geng Xis research group aiming at Network flow problem solving and Heuristic algorithm research. Soon I was engaged in the FuDan Gene Database Design. My duty was to pick up the useful information among different kinds of gene matching format. Through the comparison and analysis for many heuristic algorithms I introduced an improved evolutionary algorithm -- Multi-population Genetic Algorithm. By dividing a whole population into several sub-populations this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary orientations. It proved more efficiently than SGA in experiments too. In the second semester I joined the workshop-scheduling research in Shanghai Heavy Duty Tyre plant. The scheduling was designed for the rubber-making process that covered not only discrete but also continuous circumstances. To make a balance point between optimization quality and time cost I proposed a Dynamic layered Scheduling method based on hybrid Petri Nets. The practical application showed that the average makespan was shortened by a large scale. I also publicized two papers in core journals with this idea. Recently I am doing research in the Composite Predict of the Electrical Power system assisted with the technology of Data Mining for Bao Steel. I try to combine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive Problem. This project is now under construction.

  Besides In July 2000 I got the opportunity to give a lecture in English in Asia Control Conference (ASCC) which is one of the top-level conferences among the world in the area of control and automation. In my senior year I met Prof. Xiao-Song Lin a visiting professor of mathematics from University of California-Riverside I learned graph theory from him for my network research. These experiences all rapidly expanded my knowledge of English and the understanding of western culture.

  I hope to study in depth.

  In retrospect I find myself standing on a solid basis in both theory and experience which has prepared me for the Ph.D. program. My future research interests include: Network Scheduling Problem Heuristic Algorithm research (especially in GA and Neural network) Supply chain network research Hybrid system performance analysis with Petri nets and Data Mining.

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