教師資格考試自我介紹范文
教師資格證復試中，自我介紹是第一個環(huán)節(jié)也是非常重要的環(huán)節(jié)。下面小編為大家整理了教師資格考試自我介紹范文，希望能為大家提供幫助！
數(shù)學專業(yè)自我介紹
應(yīng)聘教師自我介紹如何做?這個要看自己學習的是什么專業(yè)和應(yīng)聘的是哪種崗位，根據(jù)自己的特長和學校對老師職位的要求情況做好充分的準備。以下便是一位數(shù)學老師應(yīng)聘自我介紹的范文。
各位考官早上好。我是鄭州師范學院數(shù)學系xxxx屆數(shù)學教育專業(yè)的一名畢業(yè)生，名叫XXX，很高興能有機會在此向各位考官學習!
廣西師范學院數(shù)學系是我們學院最悠久、教學質(zhì)量最優(yōu)異的系別，在此學習環(huán)境下，使我的知識能力受益匪淺。在學好專業(yè)課的同時，我勤練教師基本技能，有較好的教學語言表達能力，掌握了教育學和心理學的許多知識，在假期從事的家教工作中加以運用。在實習期間，我思索激勵教法、課件制作和教具選擇，在課堂上取得了學生主動要學的效果，得到了校領(lǐng)導和指導老師的好評。
我出生于教師家庭，對父輩循循善誘的引導深受感染;對父輩們的殷殷囑咐，使我踏踏實實、勤勤懇懇做人;對所受到的學校教育，讓我用科學的`理論知識的專業(yè)技能干好每一件事;坦誠、踏實的性格，讓我在工作中與領(lǐng)導、同事相處融洽，較好的完成了各項任務(wù)。
我期望：有一個合適的平臺，用我的熱情和智慧去全力開拓、耕耘。
我希望：能到貴學校任職，為貴校的發(fā)展出一份力，相信我的付出也正是您的英明選擇!
我堅信：只要不斷地在社會這個大熔爐中學習，用“心”去面對一切，必然能不斷戰(zhàn)勝自己、超越自己，逐步走向成功!
謝謝大家!
中文專業(yè)自我介紹
尊敬的各位考官、各位評委老師：能參加今天的面試，并向各位考官和評委老師學習，我很高興。同時通過這次面試也可以把我自己展現(xiàn)給大家，希望你們能記住我，下面我簡單介紹我的基本情況。
我叫***，今年**歲。畢業(yè)于**。我性格活潑開朗，大方熱情，樂于助人，平時喜歡閱讀、看書和上網(wǎng)流覽信息。我曾經(jīng)在**學校參加過教學實習，在實習期間我嚴格按照正式老師的標準來要求自己，進行語文教學和班級管理。我深入學生，和他們相處融洽，和他們一起布置文明教室，開主題班會，組織大家開展籃球賽，參與詩歌朗誦比賽等，學習了語文教學的各種知識，掌握了一定的中學語文教學技巧，也對班主任工作和學生工作有了一定的認識，找到了自己的管理班級的一套方法。
同時，在實習當中，身邊教師無私奉獻的精神和天真、求知若渴的學生們勤奮的學習態(tài)度深深地感染了我。我也深深體會到了作為一名“人類靈魂的工程師”的樂趣和重要意義，更加堅定了自己做一名教師的決心，成為一名教師也成了我的愿望。
教師這個職業(yè)是神圣而偉大的，他要求教師不僅要有豐富的知識，還要有高尚的情操。為了成為一名教師，我在自己掌握了專業(yè)知識的基礎(chǔ)上，不斷拓展自己的各種能力，培養(yǎng)自己的愛心、責任心和耐心，創(chuàng)新能力、競爭能力和分析、處理問題的能力，并參與各種活動，廣泛培養(yǎng)自己的興趣愛好，學有專長，做到除擅長寫作和打排球外，還會唱、會說、會講�！皩W高僅能為師，身正方能為范”，在注重知識學習的同時我還注意培養(yǎng)自身的道德情操，自覺遵紀守法，遵守社會公德。使自己具有一名教育工作者應(yīng)該具備的最起碼的素養(yǎng)。
如果，我通過了面試，成為該校教師隊伍中的成員，我將繼續(xù)虛心學習，努力工作，發(fā)揮自身所長，為教育事業(yè)貢獻自己的一份力量，決不辜負“人類靈魂的工程師”這個光榮的稱號。
英語專業(yè)自我介紹
General Introduction
Good morning my name is xx 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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