From the development of online platforms to the development of standardized assessments, more and more size data has been applied in the education field.
In life, artificial intelligence is everywhere: the voice assistant Siri can identify the user's problems, Google can correct the spelling, and Kinect can track the motion of the object.
From the development of online platforms to the development of standardized assessments, more and more size data has been applied in the education field. But how does AI artificial intelligence serve the education field and improve the teaching effect?
AI artificial intelligence has been used in education for a long time.
Researchers in the field of AI education have been studying the interaction of AI artificial intelligence and education for decades. The goal of the original AI Artificial Intelligence + Education was to reduce the teacher's scoring burden—a vision that has been achieved through automated homework scoring—and artificial intelligence has long since surpassed this.
For example, experts in the field of AI education have implemented these:
Develop an intelligent coaching system that personalizes learning materials and assessments and improves shortcomings in artificial intelligence systems based on student test feedback;
Perform user-use effects detection – including whether the student is bored or confused – to improve the learning materials on this basis;
Design a dialogue intermediary or chat bot to communicate with students and even organize life and work.
Artificial intelligence or intelligence extension (Intelligence Amplification)?
The development of AI artificial intelligence has promoted the interaction between students and new technologies. But researchers in related fields such as AI and learning analysis are thinking about how to provide more effective feedback for teachers and students.
There is a view that researchers should not pay too much attention to the "intelligence" of AI artificial intelligence, but should explore how relatively "stupid" (automated) instructors can maximize human intelligence.
Therefore, we can't ignore human beings and only focus on developing smarter artificial intelligence. It should be like the study of intelligent expansion - or, as far as the root of intelligence is concerned, it is intelligent enhancement. This is where the value of technology – including AI artificial intelligence – provides people with more information to make more informed decisions and make students learn more efficiently.
This kind of thinking combines computer science with human science, and believes that technology should be integrated into people's daily life.
When the risk is high, it is especially important to involve humans. Moreover, AI artificial intelligence is far from perfect. For example, some researchers focus not on automating scores, but on how artificial intelligence provides valuable feedback to students to better assess their writing skills.
Although some people expect robots to replace nurses, researchers are still trying to design more meaningful feedback to improve the business of the nurse team.
The impact of AI on teaching content
In order to continue to apply AI artificial intelligence to education, we also need to reform the content of education.
As citizens of the new era, students need to understand the meaning of AI artificial intelligence correctly, and also need to properly evaluate the application of “datafication†– from Facebook data used to influence voting, to Google DeepMind to enter the medical field, “datafication†is everywhere. .
In addition, in an ever-changing environment, students also need to master the skills, collaboration and innovation to deal with complex situations. Artificial intelligence can help students acquire these abilities.
In the field of education, artificial intelligence can not only enhance teaching efficiency, but also promote teachers to improve teaching methods, and continue to innovate in this intelligent revolution.
Others are more optimistic. They believe that the application of artificial intelligence can automate certain tasks and cultivate humans' higher quality than machines.
Algorithmic responsibility
Nowadays, algorithms have penetrated into every aspect of social life, and people's concerns about algorithmic equality are increasing. We must understand the meaning of "algorithm responsibility" in the field of education.
For example, through the algorithm, students can be assessed according to their online learning habits, and the “predictive analysis†of their dynamic pricing. It is also possible to substitute human intrinsic prejudice into college admission or transmission to a chat bot.
If AI artificial intelligence can only benefit from students with specific technology products, it will inevitably marginalize other groups.
Researchers are trying to clarify the role of ethics and privacy principles in promoting educational AI artificial intelligence and data analysis. Intelligent expansion can involve humans and can offset these negative effects to some extent.
In addition, there are concerns that AI artificial intelligence will lead to the degradation of teachers' teaching skills and the redundancy of the number of teachers. However, this problem can be avoided if the two-tiered framework of education can provide different levels of educational support.
Where is the future of artificial intelligence?
AI artificial intelligence and other educational technologies should not only improve the content of the subject, but also focus on developing students' curiosity, creativity and adaptability.
Teachers and students need a thorough understanding of the application of data and AI artificial intelligence in order to make rational use of these technology products.
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