2020年小学英语教师资格证面试自我介绍

　小学英语教师资格证面试自我介绍(一)

　　Good morning everyone

　　First of all, please allow me to exPss my greatest apPciation for you give me this opportunity for an interview. And I hope I can make a good performance today I will do my best for this interview.

　　My name is××××××, 25 years, graduated from the Mudanjiang Normal College major in English and I have been got the eight professional certificate in English (test for English majors) and senior English teacher qualification certificate. Perhaps my situation on this place is Ptty unlikely, after graduation because of personal interests I am gone to the Heilongjiang University graduate college major in history.

　　I'm outgoing and open-minded. In my spare time, I have broad interests. Such as reading, surfing the internet, listening to music. I like children very much. I think children are active, innocent and pure. With them, I feel very relaxed, pleasant and younger. Therefore, I learned a lot from my one year working experience.

　　To be a good teacher is my dream, I think a teacher is not only a guide for the students, but also a friend of them, if I were a teacher I would build a close relation with my students helping them not only on their study but also on their lives, I will try my best and I am confident that I can be a good teacher

　　If your county to give me this opportunity, I passed the interview, as many teachers team member, I will continue learning, work hard to contribute to education in their own strength, will never live up to the human soul engineer of this glorious title.

　　小学英语教师资格证面试自我介绍(二)

　　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 Pparing 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 piding a whole population into several sub-populations this improved algorithm can effectively Pvent 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 Ppared 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.