The introduction of technology is not intended to replace the core role of teachers. On the contrary, the core value of artificial intelligence lies in enhancing and supporting the work of teachers, rather than replacing them. By handing over some repetitive and process-oriented tasks to AI, such as preliminary data collection, generation of clear exercises, batch correction of objective questions, etc., teachers can reinvest their precious time and energy into more creative teaching links that require more human wisdom and emotional investment.
The introduction of technology is not intended to replace the core role of teachers. On the contrary, the core value of artificial intelligence lies in enhancing and supporting the work of teachers, rather than replacing them. By handing over some repetitive and process-oriented tasks to AI, such as preliminary data collection, generation of clear exercises, batch correction of objective questions, etc., teachers can reinvest their precious time and energy into more creative teaching links that require more human wisdom and emotional investment.
Teachers can devote more time to stimulating students' critical thinking, cultivating students' higher-order thinking skills, establishing deep emotional connections, and designing more inspiring teaching activities. Artificial intelligence should be regarded as a teacher's right-hand man and smart partner, helping teachers to better achieve their educational goals.
Personalized learning becomes mainstream
AI technology can customize personalized learning plans for each student based on factors such as students' learning progress, knowledge mastery, and learning habits. For example, intelligent tutoring systems such as Knewton can analyze students' learning data in real time and provide students with targeted learning content recommendations. According to a study, students who receive personalized learning plans have an average improvement in their academic performance of 20% - 30% higher than students in traditional learning models.
Great enrichment and integration of educational resources
AI can integrate educational resources around the world, whether it is high-quality course videos, teaching courseware or academic research results. For example, online learning platforms such as Coursera and EdX bring together course resources from top universities around the world. According to statistics, as of 2024, the number of courses on Coursera has exceeded 100,000, and the number of registered users has reached hundreds of millions. These rich resources break the geographical and time limitations of traditional educational resources, but also pose challenges to how teachers screen and effectively use these resources.
Intelligent assistance in the learning process
AI smart assistants can answer students' questions and provide learning suggestions at any time. For example, Microsoft's Xiaobing Education Edition can have natural conversations with students and answer questions in the learning process. At the same time, through voice recognition and image recognition technology, it can also provide convenient learning assistance for students with special needs, such as providing voice descriptions of image content for visually impaired students.
Digital literacy and technology integration capabilities
- Proficiency in educational technology tools
Teachers need to be familiar with various educational technology tools, such as online teaching platforms (such as Tencent Classroom, DingTalk, etc.), learning management systems (LMS), etc. Taking Tencent Classroom as an example, teachers should be able to skillfully use its live teaching, course recording, homework assignment and correction, online interaction and other functions. According to the survey, during the epidemic, among teachers who used Tencent Classroom for online teaching, teachers who were proficient in its functions had student participation and satisfaction that were about 35% higher than those who were not proficient.
- Integrate AI technology into teaching
Teachers should understand how to integrate AI technology into daily teaching. For example, use AI-driven educational games to increase students' learning interest and participation. Like the AI educational game "Mathematics Planet", it allows students to learn mathematical knowledge while playing in a gamified way. After some teachers introduced it into classroom teaching, they found that students' interest in mathematics increased by 40%, and the completion rate of classroom homework also increased from the original 70% to 85%.
Data literacy
- Data collection and analysis
Teachers should learn to collect students' learning data, including academic performance, homework completion, classroom participation, online learning time, etc. By analyzing these data, teachers can gain an in-depth understanding of each student's learning status. For example, by analyzing the learning data of students in a class for one semester, it was found that students who spoke less frequently in classroom interactions but spent more time learning online were often students who had difficulty learning but worked harder. Based on this analysis result, the teacher provided these students with additional tutoring resources, and finally these students' grades improved significantly.
- Data-based decision-making
Make teaching decisions based on data analysis results. For example, if it is found that most students have difficulty understanding a certain knowledge point, the teacher can adjust the teaching method and add relevant cases or exercises. In a survey of 100 schools, teachers who are good at adjusting teaching strategies based on student learning data have an average improvement of 15% in the final exam scores of students in their classes.
Interdisciplinary teaching ability
- Integration of multidisciplinary knowledge
Problems in the AI era are often complex and interdisciplinary. Teachers need to integrate knowledge from different disciplines for teaching. For example, when explaining environmental protection issues, it is necessary not only to involve ecological balance knowledge in biology, but also to combine pollution principles in chemistry, environmental distribution in geography, and the impact of human behavior on the environment in sociology. Such interdisciplinary teaching can cultivate students' comprehensive thinking ability. Studies have shown that students who receive interdisciplinary teaching are 50% better at solving complex problems than students who only receive single-subject teaching.
- Collaborate with teachers of different subjects
Teachers should establish cooperative relationships with teachers of other subjects. For example, when designing a project-based learning on "urban sustainable development", geography teachers, history teachers, political teachers, and mathematics teachers need to work together to provide resources and guidance from their respective subject perspectives. This interdisciplinary collaborative teaching allows students to understand and solve problems from multiple dimensions.
Innovative teaching methods and teaching design capabilities
- Design personalized learning paths
Teachers should be able to design personalized learning paths based on the different characteristics and needs of students. For example, for visual learners, more image and video learning materials can be provided; for auditory learners, voice explanations and other content can be added. In a pilot project designed for personalized learning paths, 80% of the participating students said that their learning efficiency has been improved and their interest in learning has become stronger.
- Adopt new methods such as project-based learning and inquiry-based learning
Methods such as project-based learning (PBL) and inquiry-based learning are becoming increasingly important in the AI era. Taking project-based learning as an example, teachers should design project themes with practical significance and guide students to complete projects through independent exploration and cooperation. In a project-based learning on "campus ecosystem transformation", students not only learned knowledge of biology, geography and other disciplines through field investigation, data collection, and program design, but also cultivated teamwork and problem-solving abilities. In the subsequent comprehensive quality assessment, the students who participated in the project had an average improvement of 25% in various ability indicators.