Most Down Articles

    Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

    Most Downloaded in Recent Year
    Please wait a minute...
    For Selected: Toggle Thumbnails
    A Review of the Development for Sociolemotional Selectivity Theory
    Liu Xiao-Yan &Chen Guo-Peng
    Journal of East China Normal University(Educationa    2011, 29 (1): 47-53.  
    Abstract1502)   HTML55)         
    Socioemotional selectivity theory(SST) was developed by Carstensen about 20 years ago and becomes more and more popular. With development of the theory, selectivity, emotion and perception of time was comparatively stressed in different stage, which actually are three central concepts of SST. However, some introduction of this theory in China is not so complete. The main ideas of SST and corresponding evidence were reviewed according to three concepts in this paper. Additionally, the implications and problems of SST were discussed.
    Related Articles | Metrics
    Principles, Procedures and Programs of Latent Class Models
    Zhonglin Wen, Jinyan Xie, Huihui Wang
    Journal of East China Normal University(Educational Sciences)    2023, 41 (1): 1-15.   DOI: 10.16382/j.cnki.1000-5560.2023.01.001
    Abstract695)   HTML128)    PDF (837KB)(852)      

    The models used in Latent Class Analysis and Latent Profile Analysis are collectively referred to as latent class models, a kind of statistical methods of classifying individuals according to their different response patterns in observation indicators, so as to identify population heterogeneity. It has attracted increasing attention from applied researchers in the fields of pedagogy, psychology, and other social science disciplines. However, it is not easy for most education researchers to understand the existing Chinese literature on the statistical principles and analytical procedures of such models. This paper systematically introduces the basic knowledge, statistical principles, analytical procedures and Mplus programs of latent class models, and clarifies various methods and selection strategies involved in the subsequent analysis of these models. It would help applied researchers enhance their understanding of the principles and methods of the latent class models, and promote the application of these models to educational research.

    Table and Figures | Reference | Related Articles | Metrics
    Adapting, Remixing and Emerging: The Function and Essence of the Second Bachelor’s Degree Education in the New Era
    Xiaodong Lu
    Journal of East China Normal University(Educational Sciences)    2022, 40 (10): 1-16.   DOI: 10.16382/j.cnki.1000-5560.2022.10.001
    Abstract167)   HTML42)    PDF (872KB)(804)      

    In the higher education structural system, in the “world”, and in the dual time vision of personal and public time, the second bachelor’s degree education is indispensable. The three key words of its function and essence are adapting, remixing and emerging. The important function of the second bachelor’s degree education in the new era is to quickly respond to the demand for talents and human resources from the changes in the market and industrial structure, and to provide learning opportunities for individual/Dasein with emerging learning motivations to enhance their adaptability; to supplement students enrollment to “unpopular” majors; cultivating top-notch creative talents based on remixing to increase the probability of “emerging” and enhance the country’s momentum for innovation and development. At the same time, the second bachelor’s degree education also provides a repair for the current teaching reforms that are still lagging behind in some colleges and universities. The classifications of remixing provide framework guidelines for the curriculum construction, enrollment qualifications and teaching of the second bachelor’s degree major. In the dual time vision of personal time and public time, the individual/Dasein recognizes himself, locates himself, projects himself with understanding of the world and the earth, and new learning motivation emerges unpredictably and unplannedly in the field within the worldliness and worlding of the world. The second bachelor’s degree education and other learning opportunities together promote the emerging and sheltering of diversity, richness and innovation.

    Table and Figures | Reference | Related Articles | Metrics
    Determining Sample Size in Qualitative Research: Saturation, its Conceptualization, Operationalization and Relevant Debates
    Ailei Xie, Jiayi Chen
    Journal of East China Normal University(Educational Sciences)    2021, 39 (12): 15-27.   DOI: 10.16382/j.cnki.1000-5560.2021.12.002
    Abstract1248)   HTML436)    PDF (899KB)(1215)      

    Saturation has become an important criterion to judge the quality of qualitative research and explain the rationality of sample size. This paper systematically and critically reviews the literature and introduces three types of saturation: theoretical saturation, thematical saturation and data saturation and points out that researchers should consider their own overall research design to decide which model to adopt. The paper also introduces three ways to record the process of saturation. Among them, the structural coding book is more suitable for recording deductive thematical saturation and data saturation. There are two types of saturation tables which are more suitable for recording a prior thematical saturation. The conceptual depth scale is particularly suitable for recording theoretical saturation. This paper points out that saturation is a process rather than an event. Quality rather than quantity is the key to understand saturation. Saturation itself should be a concrete methodology practice. Researchers should pay attention to the concept of saturation and make a clear statement of the process of achieving saturation, which can help to improve the standardization, transparency, quality and recognition of qualitative research.

    Table and Figures | Reference | Related Articles | Metrics
    Artificial Intelligence Curriculum Guidelines for Primary and Secondary Schools
    Jiang Bo Penner:, Dai Juan Core Members:, Zhou Aimin , Dong Xiaoyong , Liu Xiaoyu , Hong Daocheng Participants:, Jiang Fei , Zheng Longwei , Zhao Jiabao , Zhang Hengyuan , Liu Yalin , Yuan Zhenguo Consultant:
    Journal of East China Normal University(Educational Sciences)    2023, 41 (3): 121-134.   DOI: 10.16382/j.cnki.1000-5560.2023.03.013
    Abstract796)   HTML77)    PDF (728KB)(663)      

    Artificial intelligence (AI) education in primary and secondary schools has just started in China. Lack of unified curriculum standards, we still face many difficulties in the curriculum nature and objectives, textbooks development, and academic evaluation. To address this issue, East China Normal University and Shanghai Artificial Intelligence Laboratory jointly developed the Artificial Intelligence Curriculum Guidelines for Primary and Secondary Schools. The proposed guidelines has six parts including course nature and basic concept, core competency and curriculum objectives, course structure, course content and requirements, academic evaluation standards and implementation suggestions. We aim to construct a scientific and open curriculum guidelines for AI education in primary and secondary schools and simultaneously provide a reference for the construction of an AI education system in China.

    Table and Figures | Reference | Related Articles | Metrics
    Educational Neuroscience: Constructing the Connection between Mind, Brain and Education
    Zhou Jiaxian
    Journal of East China Normal University(Educationa    2013, 31 (2): 42-48.  
    Abstract1963)   HTML1434)    PDF (902KB)(5804)      
    Related Articles | Metrics
    The Crisis of Educational Psychology: Its Challenge and Positioning
    Yun Dai David
    Journal of East China Normal University(Educational Sciences)    2022, 40 (11): 4-24.   DOI: 10.16382/j.cnki.1000-5560.2022.11.002
    Abstract331)   HTML91)    PDF (915KB)(591)      

    Educational psychology as a branch of psychology has a history of more than one hundred years. However, it is still very young as an independent discipline. Internally, it lacks central concerns of its own, a coherent conceptual system, and a distinct methodology. Externally, it faces new challenges brought up by the increasing division of disciplines. In the context of the 21st century, it is increasingly difficult to view educational psychology as a sub-discipline of psychology and ignore its nature as “design science” and “human science”. Repositioning educational psychology entails distinguishing itself from other psychological sciences by establishing distinct central concerns, especially by re-examining its epistemology and methodology. The traditional logic of mechanical reductionism has to be replaced by an organismic logic of emergence that is based on the plasticity, openness, choice, and growth of human beings. At the same time, educational psychology has to draw inspiration from “design science” in its exploration of possibilities and optimality of learning and growth, while psychological and behavioral evidence provides the viability and constraints for such practices.

    Table and Figures | Reference | Related Articles | Metrics
    Digital Transformation in Education: What to Turn and How?
    Zhenguo Yuan
    Journal of East China Normal University(Educational Sciences)    2023, 41 (3): 1-11.   DOI: 10.16382/j.cnki.1000-5560.2023.03.001
    Abstract513)   HTML60)    PDF (672KB)(402)      

    The digitalization of education is not only an empowerment of education, but also a reform and reshaping of education. Due to the complexity and specificity of the digitalization of education, the digital transformation of education has not achieved the expected results in many other areas. There is some confusion and even misunderstanding in the perception of scholars, policy makers and the public. It is necessary to clarify the basic theoretical and practical issues of the current digital transformation of education. The fundamental difference between the digitalization of education and digitalization in other fields is that educational activities are not the connection between things and things, but the connection between people, and the digitalization of education not only cannot replace people, but also aims at human development, through people, by people, for people, and whether it promotes human development as the standard. At present, the key tasks of education digitalization are to innovate education scenarios, develop digital resources, improve teachers' digital literacy, improve the level of the national digital education platform, and govern the digitalization of education with digital thinking.

    Reference | Related Articles | Metrics
    Educational Improvement Science: The Art of the Improving Organization
    Li Jun
    Journal of East China Normal University(Educational Sciences)    2022, 40 (12): 1-13.   DOI: 10.16382/j.cnki.1000-5560.2022.12.001
    Abstract424)   HTML477)    PDF (1176KB)(310)      

    Advocating educational improvement science as an emerging transdisciplinary area, I reflect philosophically on the three major pathways through which the education mission has been realized in human history and discern the misuses and pitfalls of reform. I also examine the terms “reform” and “improve” and their synonyms both etymologically and in East-West cultural and political traditions, which are embodied in educational theorizations and practical implications. Based on these reflections, I propose the concept of neo-improvementalism, define educational improvement science, and systemically elaborate on its philosophical assumptions, disciplinary fundamentals, and theoretical frameworks. I identify and elucidate growability, developability, and improvability as the three key properties of education and construct disciplinary knowledge of educational improvement science through two main categories, namely, subject matter knowledge and profound knowledge. I then highlight three foundational characteristics of educational improvement science – namely, discipline-oriented, systems thinking, and evidence-based – and the building of professional improvement communities promoting institutional improvement capabilities. I conclude that educational improvement science is the art of the improving organization for classes, schools, and more broadly defined educational agencies, and that its birth signifies the respect and recognition of the disciplinary status and specialization of educational improvement. Finally, I call for the recognition of the significance of educational improvement science and research thereon, especially with respect to discipline-building and exploration based on local characteristics in a global vision, and the cultivation of new fronters of educational research and practices, which need to be enhanced through disciplinarization and scientificization.

    Table and Figures | Reference | Related Articles | Metrics
    How Natural Language Processing Technology Empowers the AIED: The Perspective of AI Scientist
    Bo Zhang, Ruihai Dong
    Journal of East China Normal University(Educational Sciences)    2022, 40 (9): 19-31.   DOI: 10.16382/j.cnki.1000-5560.2022.09.003
    Abstract427)   HTML271)    PDF (1287KB)(549)      

    Natural language processing (NLP) is one of the most important research branches of artificial intelligence (AI). With the boosting of computer performance and the construction of large-scale corpora in the last decade, NLP technology has made great progress and has been widely applied in various areas, especially in the field of education. Specifically, in this paper, we investigate the present research and the trends of NLP technology, and how NLP promotes the development of artificial intelligence in education (AIED) through studying and analyzing publications, reports, and speeches, etc. from eminent domestic and international AI specialists. We are aiming to explore the direction and trend of AIED in the future.

    Table and Figures | Reference | Related Articles | Metrics
    Research on Learning Affective Computing in Online Education: From the Perspective of Multi-source Data Fusion
    Xuesong Zhai, Jiaqi Xu, Yonggu Wang
    Journal of East China Normal University(Educational Sciences)    2022, 40 (9): 32-44.   DOI: 10.16382/j.cnki.1000-5560.2022.09.004
    Abstract351)   HTML102)    PDF (2774KB)(535)      

    Learning affection is an essential factor affecting learning performance, perception, and higher-order thinking ability. Existing research on learning affective computing is mainly based on a small sample analysis of heavyweight physiological feedback technology. There is a lack of learning affective computing research in online courses. In the online course environment, the data sources for learning affective computing are relatively limited, mainly based on a single facial expression data. On the other hand, learners are often under insufficient supervision in online learning scenarios. The body posture is more random, so it is very likely to affect the extraction of facial features. However, this study believes that the pose of online learners also has affective characteristics and is also a key source of affective information. Therefore, we try to fuse the learner’s posture data into the facial expression data, build a multi-source data fusion deep learning affective calculation model, and make up for the facial recognition defects caused by the learner’s posture change. Also, we perform collaborative analysis multi-source affective data to realize data cross verification and mutual compensation. The research concludes that it is an effective method for online learning affective calculation to build a dataset containing 7,878 facial expressions and posture images of online learners constructed through training, and use the convolutional neural networks and decision fusion methods to integrate learner posture data into facial expression data.The accuracy of affections recognition increases 3%, compared with a single facial expression recognition. In theory, this research provides a model basis for the effectiveness of multi-source data fusion in learners’ affective computing. In practice, it provides an effective technical path to learning affective computing in an online education environment.

    Table and Figures | Reference | Related Articles | Metrics
    What are the Changes in the Employment Situation of Chinese College Graduates in the Context of the 2021 Epidemic: An Empirical Study Based on National Survey Data in 2021 and 2020
    Tao Li, Nuan Sun, Zhihui Wu
    Journal of East China Normal University(Educational Sciences)    2022, 40 (2): 100-113.   DOI: 10.16382/j.cnki.1000-5560.2022.02.008
    Abstract744)   HTML185)    PDF (924KB)(840)      

    The “Comprehensive Investigation of Employment Situation of College Graduates in China During the Epidemic Period” conducted the second round of surveys in 34 provinces, autonomous regions and municipalities across the country for two and a half months from June to August 2021. Compared with the first round of survey in 2020, the following findings were found. (a) Nearly 50 percent of graduates signed a monthly salary of 3,001-5,000 yuan after tax. (b) The overall matching rate of job positions and majors increased significantly. (c) Employment satisfaction remained high but declined slightly, and (d) the rate of considering leaving had increased slightly. In 2021, unemployed graduates felt that the impact of epidemic factors on employment had significantly reduced. Their intentions of employment within the government system were obvious. Those who failed in civil service examinations and higher education had strong willing to retake the examinations. Different from the situation of employed graduates, the “salary package” exceeding the “place of work” became a significant employment factor for unemployed graduates. At the same time, the gap between expected salary and actual salary was widening. The ranking of employment expectations for private enterprises had dropped significantly. In the survey sample, employers’ recruitment plans were shrinking, but rates were rising. The salary levels were increasing, as well as the recruitment standards. The satisfaction of college graduates with the employment guidance work of the college remained good, which was the same as in 2020. Through logistic regression analysis, it was found that the variables include gender, household registration, family economic status, school type, school level, subject type, subject level, personal education, academic performance, entrepreneurial willingness etc., had significant differences in the impact of different categories on employment. The same as in 2020, men have a significant employment advantage over women. This employment advantage existed in the comparison of economically non-difficult families with economically difficult families as well. Meanwhile, employment advantage was showed in the comparative between colleges of science and engineering and finance and agriculture and forestry colleges, national "Double Tops" universities and higher vocational college, humanities and social sciences, national double first-class disciplines and ordinary disciplines, master’s degrees and bachelor’s degrees. The graduates from top 20 percent of professional rankings had more advantage than the 20-60 percent and bottom 40 percent graduates. Difference from 2020, the findings show that rural household registration graduates have a higher employment probability than urban household registration graduates, current graduates from medical colleges and normal colleges had a higher employment probability than colleges of science and engineering graduates, the employment probability of undergraduate graduates was lower than that of college graduates, and the employment probability of agricultural medicine was higher than that of humanities.

    Table and Figures | Reference | Related Articles | Metrics
    俊明 方
    Journal of East China Normal University(Educational Sciences)    2006, 24 (3): 37-42,49.   DOI: 10.16382/j.cnki.1000-5560.2006.03.005
    Abstract1135)   HTML19)    PDF (270KB)(1672)      

    从融合教育的概念、发展历程来看, 融合教育是特殊教育发展史上的一次飞跃, 它表明当代特殊教育已经从长期以来的福利型向权利型、大众型的方向转变; 对普通教育而言, 融合教育可能会作为一种新的范式引发人们对目前"应试教育"和"英才教育"的进一步反思, 推行融合教育对现代教师教育提出了新的要求。

    Reference | Related Articles | Metrics
    Heavy Burden: The Excessive Spillover of Students’ Roles and its Consequence
    Desheng Gao
    Journal of East China Normal University(Educational Sciences)    2022, 40 (12): 14-25.   DOI: 10.16382/j.cnki.1000-5560.2022.12.002
    Abstract307)   HTML436)    PDF (647KB)(251)      

    The academic burden of primary and secondary school students is a “long-standing and difficult” problem, but the thinking on this problem always stays at the level of matter-of-factly. The human-being is a social existence, and the role is the embodiment of man’s sociality. Students are the social roles assigned by the government and society to school-age children, with “thick” normative requirements. Students are institutionalized roles, and school’s spatial context is the boundary of students’ roles. The role of students with boundaries now spills over to families, communities and society. Even if juveniles are separated from school’s spatial context, they are still students. The excessive spillover and solidification of students’ roles make juveniles unable to get a break from students’ roles and their normative requirements, and lose the opportunity to try other social roles. In particular, the significant role of juveniles at home is still students rather than children, and all ethical norms pinned on children’s roles in traditional culture have lost their role support. For juveniles, the most fundamental burden is the role burden, and the academic burden is only a secondary burden derived from the role burden.

    Reference | Related Articles | Metrics
    A Conceptual Framework of Higher-order Thinking
    Shufeng Ma, Xiangdong Yang
    Journal of East China Normal University(Educational Sciences)    2022, 40 (11): 58-68.   DOI: 10.16382/j.cnki.1000-5560.2022.11.005
    Abstract937)   HTML106)    PDF (755KB)(497)      

    Higher-order thinking is a key competence for individuals to adapt to external environments and cope with future challenges. The theory of constructivism argues that people do not passively receive information from the environment, but actively construct knowledge to update their mental models. In authentic learning contexts, higher-order thinking manifests as the ability to identify the connection between prior knowledge and external information, transfer background knowledge to a new situation, and solve complex problems that do not have definite answers. Higher-order thinking is not a single thought process, but a complex cognitive process in which multiple mental operations coordinately work together. The conceptual framework of higher-order thinking incorporates the analysis of problem situations, the identification and formation of the relationship between old and new knowledge, the synthesis of information from different dimensions, the creation of new knowledge, and the monitoring, management and adjustment of the thinking process. The conceptual framework explains how the five cognitive components influence each other and synergistically regulate the process of cognitive development. The framework provides a new theoretical perspective for interpreting higher-order thinking, and lays a theoretical foundation for in-depth research on the developmental mechanism of higher-order thinking.

    Table and Figures | Reference | Related Articles | Metrics
    Current Situation, Influence and Suggestions of China’s Elementary School Science Teacher: Based on a Large-Scale Survey in 31 Provinces
    Yonghe Zheng, Xuanyang Yang, Jingying Wang, Jia Li, Yangxu Lu, Shuhui Li, Yujing Yang, Xiaolin Zhang
    Journal of East China Normal University(Educational Sciences)    2023, 41 (4): 1-21.   DOI: 10.16382/j.cnki.1000-5560.2023.04.001
    Abstract412)   HTML579)    PDF (2134KB)(297)      

    To investigate the current situation of elementary school science teachers in China, large-scale research in 31 provinces was organized by the Professional Committee on Science Teaching of the Steering Committee for Basic Education of the Ministry of Education in the second half of 2021, and 131,134 valid questionnaires were collected. The current situation of the elementary school science teacher workforce involves three major aspects: faculty structure, professional literacy, and professional development. The study found that there is a serious structural imbalance in the structure of China’s elementary school science teachers, with part-time teachers and liberal arts backgrounds dominating; weak knowledge and beliefs, practical wisdom such as information technology application to be strengthened; weak professional development, lack of experimental resources and professional training. It is recommended to strengthen the teacher management of elementary science, improve the supervisory mechanism, and optimize the structure of the teaching force; strengthen the professional standards and development planning of integrated pre-service and in-service elementary science teachers; promote the reform of the content and form of elementary science assessment and pay attention to the monitoring and evaluation of the quality of elementary science teaching.

    Table and Figures | Reference | Related Articles | Metrics
    Starting Line Competition: An Analysis of the First Time for Primary and Secondary School Students to Participate in Extracurricular Tutoring—— An Empirical Study Supporting the Implementation of the “Double Reduction” Policy
    Haiping Xue, Huanhuan Shi
    Journal of East China Normal University(Educational Sciences)    2022, 40 (2): 71-89.   DOI: 10.16382/j.cnki.1000-5560.2022.02.006
    Abstract1362)   HTML173)    PDF (1060KB)(1408)      

    The effective implementation of the “Double Reducation” policy needs to accurately identify the deep-seated reasons why students choose to participate in extracurricular tutoring. Studying the time when primary and secondary school students participate in extracurricular tutoring for the first time can provide an empirical basis for relieving the extracurricular tutoring needs of parents and students. Based on the data of the 2017 China Institute for Educational Finance Research-Household Survey (CIEFR-HS 2017), this paper uses the method of survival analysis to describe primary and secondary school students’ first-time participation in extracurricular tutoring, and discusses the impact of family socio-economic background on the survival time of students’ first-time participation in extracurricular tutoring. This paper finds that, first, most of the primary and secondary school students in China have participated in extracurricular tutoring, and many of them have participated in extracurricular tutoring relatively early. Second, the time of primary and secondary school students who participate in extracurricular tutoring of subjects for the first time is significantly earlier than that of interest classes, and the difference is more prominent with the increase of grade. Third, there is a significant difference in the first time students from urban and rural and different social classes participate in extracurricular tutoring, but the difference gradually reduces with the increase of school period. Fourth, family socio-economic status has a significant positive impact on the time of students’ first participation in extracurricular tutoring. Students with better family socio-economic backgrounds are more likely to participate in extracurricular tutoring earlier, but this difference decreases with the increase of students’ learning period. In the context of “Double Reduction” policy, it is suggested that the government should continue to improve the quality of elementary education to meet the needs of parents and students for individualized education. Besides, it's important to provide academic counseling for disadvantaged students with poor academic performance, and provide subsidies for the students of vulnerable groups with poor academic performance. Also, it’s important to guide parents to choose extracurricular tutoring rationally, as well as objectively and dialectically examine the impact of extracurricular tutoring on the development of students.

    Table and Figures | Reference | Related Articles | Metrics
    The Concept and Essence of Core Competency
    CHU Hong-Qi, CUI Yun-Huo, XIN Tao, ZHANG Hua, SHI ou, YU Wen-Sen
    Journal of East China Normal University(Educationa    2016, 34 (1): 1-13.  
    Abstract822)   HTML1007)    PDF (1846KB)(4817)      
    Related Articles | Metrics
    A Study on Grade 7-12 Students’ Online Learning Performance with their Parental Involvement: Investigation and Research Report I on Online Teaching in Primary and Secondary Schools in Jiangsu Province
    Mei Cao, Xiaoyue Zhu, Shusheng Shen
    Journal of East China Normal University(Educational Sciences)    2022, 40 (4): 16-28.   DOI: 10.16382/j.cnki.1000-5560.2022.04.002
    Abstract434)   HTML270)    PDF (850KB)(586)      

    K-12 students were pushed to the forefront of online learning with their widely-involved parents by the Covid-19 pandemic. There is a public concern about their learning performance, adaptability and parental influences. This study is based on the large-scale online teaching survey authorized by Jiangsu Education Department. Several descriptive or exploratory statistical analysis were carried out on 449,650 valid student questionnaires. It's found that with the parental involvement in online learning, students had satisfying learning involvement and acceptable goal attainment, but their learning psychology was not so good, though there were certain demographic differences. Homework guidance and good learning environment are two important parental factors that affect learning outcomes, also positively predicting learning involvement. Besides, parent-child communication atmosphere and family expectations both influence learning involvement. Learning psychology is positively affected by homework guidance, learning environment, parent-child atmosphere and family expectations. There are five typical online learners through cluster analysis, whose characteristics reflect different family parenting styles. The research suggests that in the post-epidemic era blended learning has to pay attention to several aspects such as home-school collaboration, learning psychological intervention, and online learning interaction.

    Table and Figures | Reference | Related Articles | Metrics
    Artificial Intelligence Promotes the Development of Future Education: Essential Connotation and Proper Direction
    Xiaoqing Gu, Shijin Li
    Journal of East China Normal University(Educational Sciences)    2022, 40 (9): 1-9.   DOI: 10.16382/j.cnki.1000-5560.2022.09.001
    Abstract412)   HTML302)    PDF (724KB)(408)      

    The development of artificial intelligence technology brings both opportunities and challenges to the education system. Based on the major social science project “Research on Artificial Intelligence Promoting the Development of Future Education”, the study found out the key focus points of artificial intelligence to promote the development of future education: artificial intelligence highlights the challenges of innovative talent development; artificial intelligence supports the personalized realization of large-scale education; artificial intelligence reshapes the concept of knowledge and teaching innovation; artificial intelligence empowers future teacher development research; and artificial intelligence promotes the systematic update of the education ecosystem. At the same time, technology empowerment education, technology innovation education, and technology reshaping education are the advanced forms of the “trilogy” of artificial intelligence to promote the development of future education. To explore the core mechanism of artificial intelligence to promote future education development, it is necessary to reveal the interaction law of “technology-education-society” from the perspective of complex systems, explore the essential impact of artificial intelligence on educational development from the perspective of learning science, and predict the development trend of future education from the perspective of “history-culture”. On this basis, it's important to grasp the development strategy of innovative talents driven by the intelligent era, focus on the key elements of education innovation driven by artificial intelligence, reshape the blueprint of future education ecology boosted by artificial intelligence, so as to create a “high-quality and warm” artificial intelligence education new ecology in China.

    Table and Figures | Reference | Related Articles | Metrics