
AI-generated summary
Taiwan has long faced a teacher shortage, especially in the science field. For the first time this year, National Taiwan Normal University launched a special publicly funded teacher training class in the field of engineering, aiming to attract talents with science and engineering backgrounds and even industrial experience to join education.
Science and engineering talents are also willing to switch careers and become teachers! For the first time this year, National Taiwan Normal University has launched a special public-funded teacher training class in the field of engineering, attracting talents with backgrounds in physics, chemistry, information engineering, and even practical experience in the industry to apply. As of 8:55 a.m. today (8), a total of 141 people from 3 groups have signed up to compete for 30 enrollment places. The number of applicants has reached 4.7 times the enrollment quota. Among them, the information engineering group is the most popular, with 69 people competing for 9 places.
According to statistics from National Taiwan Normal University, the physics group has enrolled 16 students, and 45 people have signed up; the chemistry group has enrolled 5 students, and 27 people have signed up; the information engineering group has enrolled 9 people, and 69 people have signed up, and all three groups have exceeded their quota. The school stated that it will further conduct selection based on professional ability, educational motivation, communication skills and teacher potential.
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Song Yaoting, president of National Taiwan Normal University, said that 30 places cannot solve the overall teacher shortage problem, but the enrollment results show that teacher training can have different possibilities. In the past, teachers were mainly found through existing teacher training channels. Now, we are trying to allow talents with different professional backgrounds and even accumulated industrial experience to enter the education scene through clear channels.
Song Yaoting pointed out that what industrial sites often face are not problems with standard answers in textbooks, but real, complex problems that require the integration of knowledge to solve. If industry talents can receive comprehensive educational professional training, there will be opportunities to bring practical problem-solving experience into middle school classrooms in the future, allowing students to understand how physics, chemistry and information knowledge can be applied to the real world.
For example, those with information engineering background can integrate artificial intelligence, data analysis and computational thinking into teaching; chemistry talents can guide learning from issues such as energy, materials and environmental sustainability; and physics talents can combine engineering technology with life situations to help students understand abstract scientific concepts.
Liu Yuting, dean of the National Taiwan Normal University Teacher Training College, said that over-enrollment is only the first step. In the future, talent selection and training quality will be more important. Through education professional courses, teaching materials and teaching methods, school practice and educational internships, talents from different backgrounds will be assisted to transform into teachers with teaching abilities, and their learning performance and professional development after entering the teaching field will be continuously tracked.
AI outlook — possibilities, not facts
In the future, publically funded teacher training classes in science and engineering will continue to attract high registration competition and may expand enrollment.
Likely · Within months

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