When artificial intelligence enters the classroom, what changes will occur to the teaching process?

With the application of artificial intelligence technology, course content, teaching methods and teacher-student relationships are all changing. The use of artificial intelligence can realize a more open and flexible teaching system and promote the systematic integration of artificial intelligence and education and teaching. When artificial intelligence is integrated into the teaching model and the focus of the teaching model shifts to focusing on "people" themselves, a new era of smart teaching will also begin. .

Artificial intelligence technology is gradually being promoted both in children and young people. The new era has put forward new demands for teaching and educating people, that is, how to transform from being teacher-centered to being student-centered; how to use new technologies such as the Internet and artificial intelligence to realize a smart teaching model of human-computer interaction. Artificial intelligence gives education new functions and meets the needs of personalized learning in the big data era.

Teach students in accordance with their aptitude and promote personalized learning

In traditional classroom teaching, the teacher is the absolute authority, and the distribution of teaching resources is based on teacher control. Classroom teaching is a communication method in which teachers allocate appropriate educational resources and then establish them through interactions between teachers and students. Due to limited personal energy, teachers will subconsciously label students with corresponding identity labels in order to facilitate management, even if it is not subjective, and the classroom teaching will mechanically complete knowledge infusion. The emergence of artificial intelligence can relieve teachers' pressure, pay more attention to students themselves, and promote students' personalized learning.

With the intervention of artificial intelligence, the problem that teachers in the past were unable to pay attention to every student and teach students in accordance with their aptitude will be easily solved. Artificial intelligence technology can record and analyze each student's learning status in a concomitant manner, and comprehensively outline student portraits. Based on big data analysis, students' academic status is diagnosed and analyzed to find out students' learning weaknesses and correct them in a timely manner. At the same time, students' good learning habits can be discovered and promoted to students who are suitable for this type of learning method through data analysis. Artificial intelligence is used to form a personalized learning method for students, and it is truly possible to use people to recommend questions, so that students can only learn what they need to learn and do only the questions they should do, and put an end to blind answering and ineffective practice.

Equity of educational resources

Traditional classroom teaching has always faced differences in teaching quality caused by unfavorable factors such as time and space constraints. In terms of time factors, in the traditional classroom teaching process, there is less interaction time between teachers and students and discussion time among students; in terms of space factors, the space structure of traditional classrooms is fixed. Due to the limitations of fixed seats, students have to pay attention to each other in class. Strength and the ability to accept knowledge are bound to be affected.

The emergence of artificial intelligence breaks the time and space limitations of traditional classroom teaching, enabling students to study anytime and anywhere, eliminating factors such as reduced classroom attention due to seating. In an artificial intelligence environment, students can use VR and other technical means to observe and experience the process of nuclear fission, the internal structure of engines, and the application of biomedical technology in the virtual world, which are difficult to achieve in traditional classroom teaching. The artificial intelligence environment can immerse students in scenario-based teaching situations and give students a more intuitive and real personal experience with holographic and dynamic pictures. This can, to a certain extent, help students change their unbalanced development caused by differences in factors such as cognitive styles and imagination.

Improvement of teaching methods

In traditional classroom teaching, teachers are busy with various matters such as preparing teaching materials, writing lesson plans, managing classrooms, correcting homework, etc., which makes their evaluation of students only It only focuses on the examination of students' knowledge reserve, which lacks comprehensiveness and scientificity. In the context of the artificial intelligence era, artificial intelligence technology has mastered a huge amount of information and knowledge and can help people solve some problems. With the maturity of speech recognition, image processing technology, and AR/VR technology, human-computer interaction has become more harmonious and inclusive. Some of the skilled and repetitive tasks of traditional teachers have been largely replaced by artificial intelligence robots. Teachers We should focus more on classroom teaching itself and improve existing teaching methods.

Artificial intelligence helps transform traditional discourse-based teacher-student interaction into scene-based interaction. In classroom teaching, teachers can use AR/VR and other technical means to design and produce three-dimensional and holographic teaching scenes for students to appreciate and learn. Artificial intelligence converts static knowledge and text in textbooks into digital text through speech and image recognition functions, and presents it to students through a variety of digital methods. In the process, students can gain multi-dimensional experiences such as visual and auditory, transforming boring knowledge into It is a vivid scene-like display.

Scientific Teaching Evaluation

The classroom is the field where students learn knowledge, which corresponds to all aspects of the teacher’s teaching process. Students’ learning is from the initial understanding of knowledge to the proficiency of knowledge. It is a process of application and understanding and then drawing inferences. This process not only includes the learning and consolidation of textbook knowledge, but also involves changes in students' cognition, emotion and other aspects during the learning process. Therefore, students should be evaluated based on more than just knowledge.

In classroom teaching, the introduction of artificial intelligence can make scientific evaluations of all aspects of classroom teaching. Classroom teaching situations vary widely, students' situations vary greatly but also slightly, and their strengths and weaknesses are also inconsistent. In the past, students' emotional development, responsibility, logical thinking ability and other aspects of development have been ignored, but the application of artificial intelligence data analysis, speech and image recognition and other technical applications can accurately evaluate the differentiation of "teaching and learning". For example, the teacher supervision system of online schools relies on the integration of speech recognition and expression recognition technologies to evaluate teachers' teaching performance through dimensions such as affinity and clarity of teachers' classroom performance. (Compiled by Yao Kunsen)

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