A Review of Artificial Intelligence in K-12 Education

Artificial intelligence (AI) has garnered significant interest within the educational domain over the past decade, promising to revolutionise teaching and learning. This paper provides a comprehensive overview of systematic reviews conducted from 2010 to 2023 on the implementation of AI in K-12 education. By synthesising findings from ten selected systematic reviews, this study explores the multifaceted opportunities and challenges posed by AI in education. The analysis reveals several key findings: AI’s potential to personalise learning, enhance student motivation, and improve teaching efficiency are highlighted as major strengths. However, the study also identifies critical concerns, including teacher resistance, high implementation costs, ethical considerations, and the need for extensive teacher training. These findings represent the most significant insights from the analysis, while additional findings further underscore the complexity and scope of AI integration in educational settings. The study employs a SWOT analysis to summarise these insights, identifying key areas for future research and policy development. This review aims to guide educators, policymakers, and researchers in effectively leveraging AI to enhance educational outcomes while addressing its inherent challenges.

Information behaviors of Chinese K-12physical education teachers:A survey study

Purpose: Given the unique characteristics of physical education(PE) teaching in K-12education,PE teachers' information behaviors deserve special attention.This article reports a survey study of PE teachers' information behaviors,covering information literacy skills and behaviors of information seeking and information use.Design/methodology/approach:A questionnaire survey was conducted of K-12 PE teachers in the Tianjin municipal region of China,with a response rate of 61.9%.Findings:PE teachers lack skills with information retrieval systems in general.The Internet continues to be their primary information source,and they rely more on personal collection and colleagues than the school library for teaching materials.They rarely develop a searching strategy,employ querying tactics,or use advanced search functions,and they tend to be content with finding a few relevant articles.Research limitations:The survey is limited to the Tianjin municipal region in scope.Though attempting to reach 210 participants from 40 schools,it yielded only 130 valid responses.A larger survey covering more regions and with greater responses may be useful.Practical implications:Insights from this study inform the educational and on-job training of K-12 PE teachers to improve their information literacy skills.Originality/value:Little research exists on PE teachers' behaviors of information seeking.This study bridges the gap and enriches our understanding of K-12 teachers' information behaviors.

From Mutual Creation to Mutual Benefit:China’s National Teacher Training Program between Higher Teacher Education and K-12 Teachers

Sustainable Development Goal(SDG 4)lays solid theoretical foundation for the development of higher teacher education in improving the quality of teaching faculty nationwide.Sustainable teacher training paves a way for teacher professional development in the long run.China’s“National Teacher Training Program”serves a connection between higher teacher education and K-12 teachers in multiple perspectives when exploring K-12 teachers’improvement of the essence by upgrading the initiative of the program with the assistance of educational technology and modern educational philosophy from mutual creation to mutual benefit.Direction orientation strategic design based on demand for teaching faculty,curriculum setting in modules,and characteristics creation have been carried out to upgrade the training of teacher colleges and National Teacher Training Program in the future for achieving a win-win situation between higher teacher education and K-12 education.

Enhancement of Innovation Competence of College Students Majoring in Mathematics Education through Curriculum Optimization

The innovation competence of K-12 education teachers undoubtedly plays a crucial role in fostering the innovation abilities of their students.K-12 mathematics education equips students with the critical thinking and problem-solving skills essential for their future studies in colleges and universities,helping them grasp complex techniques to address challenges in everyday life and their careers.Therefore,it is of great significance to study strategies for improving the innovation competence of college students majoring in Mathematics Education,as they will likely become K-12 education mathematics teachers directly after graduating from colleges or universities.In this paper,we study strategies for enhancing the innovation competence of college students majoring in Mathematics Education through curriculum optimization.We analyze and explain in detail the importance of innovation competence for college students majoring in Mathematics Education and the difficulties encountered in enhancing college students’innovation competence.With the help of the analysis of the importance and challenges of enhancing college students’innovation competence,we propose several strategies to improve the innovation competence of college students majoring in Mathematics Education based on curriculum optimization.The findings presented in this paper can be applied to develop strategies for college students majoring in Physics and Chemistry Education.

美育的有为与有效:美国K-12艺术教育的探索历程及其启示

艺术教育是学校实施美育的核心内容和主要途径。美国以艺术教育为主要载体开展美育,在K-12基础教育阶段通过多种方式推动艺术教育发展。从美育的有为维度看,美国教育界在思想上认识到通过艺术教育开展美育的责任和重要性,也在实践中对美育的方法和课程进行了探索;从美育的有效维度看,受政策导向与社会观念的影响,美国K-12艺术教育的实施效果总体上并不理想,整体仍呈萎缩态势。美国K-12艺术教育的得失对我国开展美育具有重要的启示借鉴意义,需要根据新时代要求明确基础教育阶段如何通过有效的艺术教育,使美育与时代使命相吻合,与社会责任相匹配,与审美素养相一致。

AI绘画浪潮下的高校艺术设计教学改革

在艺术设计领域,AI绘画逐渐成为一种新颖的创作表现工具,并融入商业设计流程中,对相关行业带来了巨大冲击并引发广泛争议,这也促使高校教学主动改革以积极应对AI带来的深刻影响。鉴于当前教学改革现状,高校艺术设计教学应提倡“AI+”教学新思维,“美”和“术”的适度分离;鼓励与AI“和平共存”,改革传统知识传授型教学方法;利用AI辅助教学,从“有限”的绘画技巧走向“无限”的审美创意。

A Multi-Agent School Simulation Based on Hierarchical Social Networks

The quality of K-12 education has been a very big concern for years. Previous methods studied only one or two factors, such as school choice, or teacher quality, on school performance. Therefore the results they provide can be limited. We propose a multi-agent approach to integrate multiple actors in a school system. These actors include teachers, students, supporting staffs and administrators. The interactions among these actors compose a hierarchical school social network. We first detect the hierarchical community structure in this school network by using an agglomerative hierarchical algorithm. Existing agglomerative hierarchical algorithms usually calculate similarity or dissimilarity between two clusters by using some measure of distance between pairs of observations. We, however, develop a method that calculates similarity based on social interactions between interactions is essential in multi-agent systems. Our algorithm is applied to 15 school districts in Bexar County, Texas, and it provides satisfying results on generating the hierarchical structure of all school districts. We then use the detected structure of the social network to evaluate the school system’s organization performance. We design and implement a funding evaluation model to decompose the funding policy task into subtasks and then evaluate these subtasks by using funding distribution policies from past years and looking for possible relationships between student performances and funding policies. Experiments in the 15 school districts in Bexar County show no significant correlation between student performance and the amount of the funding a school district received.

Teaching and Learning Chinese through Immersion:A Case Study from the North American Context

With the promise of achieving bilingualism,biliteracy,and cultural pluralism,Chinese immersion programs for students from kindergarten to 12th grade(K-12)in North America,especially the US,have been proliferating in the past two decades.Research on this rapidly growing population of non-native Chinese learners is also growing.This research synthesis focuses on 35 selected studies published in recent years on Chinese immersion in both Chinese and English language journals and books.The review found that researchers are exploring a wide range of issues with respect to language and literacy development in Chinese immersion programs,including academic achievement in English,language and literacy acquisition in Chinese,instructional strategies and classroom interaction,as well as learners’language use and its sociolinguistic variations.These studies reflect a growing interest in and demand for learning more about the lesser-researched Chinese foreign language(CFL)learner population,and this review concludes with suggestions for future research on Chinese immersion based on its curricular features as well as specific considerations for conducting research with young,emergent bilingual and biliterate learners.