The Research on Open Sharing of Higher Education Park Based on Intelligent Security System

The intelligent security system is a series of systems that use modern information technology means such as artificial intelligence, cloud computing, big data, face recognition to carry out comprehensive monitoring, early warning, prevention and control, disposal, etc, for security protection. It is the development trend of security system in the future, and it is also the basis for open sharing between higher education parks and universities. By using content analysis, unstructured interviews and other research methods, this paper deeply studies the feasibility and basic ideas of the construction of intelligent security system in Shahe Higher Education Park, and forms basic experience and typical practices through the project construction, which further promotes the more intelligent, standardized and scientific safety management in colleges and universities. It really provides an important theoretical basis and practical guidance for the opening and sharing between higher education parks and universities.

Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different sources.This paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in HEIs.It also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this paper.The dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big data.The prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA systems.This paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.

The Model of“Post,Course,Competition,Certificate”Integrated Education for Electronic Information Engineering Technology Major in Higher Vocational Colleges

The core education function of higher vocational colleges is to train technical talents with high quality,so as to meet the needs of talents in the development stage of our society.Under the guidance of talent training,higher vocational colleges need to pay attention to establishing an all-round and three-dimensional education model,and promote innovation of higher vocational education on the basis of this.It is also a way to promote the innovation of higher vocational education to vigorously promote the construction of“post,course,competition,certificate”mode in the construction of education mode.Through the construction of“post,course,competition,certificate”mode,the education mode of higher vocational colleges is gradually improved,so as to strengthen the effectiveness of talent training in higher vocational colleges.Therefore,in this paper,the author puts forward some suggestions to promote the construction of the integrated education mode of the electronic information engineering technology major in higher vocational colleges,so as to help improve the talent training level of higher vocational colleges.

Comparative Study of Internationalized Talent Cultivation Models in International Higher Education Programs

The internationalization of talent cultivation in the field of international higher education is a widely discussed topic among higher education institutions worldwide.This paper conducts a comparative study of domestic and foreign higher education institutions and identifies some differences in the internationalization of talent cultivation among different countries and regions.Firstly,the study summarizes the changes in talent cultivation through domestic study abroad programs and overseas study programs.Then,this paper introduces the“Knowledge-Practice-Research”international talent cultivation model in China and the international talent cultivation model in Japan as an example.Finally,this study compares the international talent cultivation models in domestic and foreign higher education institutions.The results indicate that the internationalization of talent cultivation models needs to be adjusted according to different training objectives,specific countries,and even regional circumstances to adapt to local characteristics and the international environment.Overall,different countries and regions have different emphases and characteristics in the internationalization of talent cultivation in higher education institutions.However,regardless of the country,higher education institutions should focus on enhancing students’international perspectives and cross-cultural communication skills to adapt to the globalized economic and social environment.

Research on the Cultivation Model of Innovative and Entrepreneurial Talents with New Technology Use in Higher Education Institutions

The issue of new technology applications in education is a worldwide concern.Following a thorough review of current studies,this paper believes that new technology in a broad sense has"hard technology"(referring to new inventions,discoveries,and creations that can be practically operated and applied)and"soft technology"(generally referring to technology formed in all industry fields in response to new changes,new markets,new industries,and new business models,such as innovative marketing models,new team building,and management strategizing,cultural and creative skills,etc.),with distinctive and external and internal connotations.In a narrow sense,new technology refers to the most recent and cutting-edge technology in a particular industry field.There are also definitions that are based on their applicability,such as referring to new operation methods as new technologies.The premise of how to precisely implement new technology application education in higher education is to understand how students in higher education institutions think.For this reason,this study takes senior graduate students as its target,and through the statistics and analysis of survey data,we get three results.First,education featuring applications of new technology proves highly compelling,particularly given its importance in graduates'career development,thus garnering support;second,such education is both conceptual and practice-based;third,education concerned with the application of new technologies can be carried out in any major,both in engineering and non-engineering disciplines,with different requirements for educational content and technical skills according to the varying disciplines.Based on the investigation and analysis,we propose solutions and recommend methods of applying new applications in higher education.

Precision Education Evaluations for Small Class Courses Using Artificial Intelligence

Recently,small class course teaching,with less than 30 students,seems to outperform the traditional large class course teaching in the field of education.Students can use online private course platform to preview course-related knowledge and promote practical experiences of offline courses.In this study,an evaluation strategy has been proposed for precision education protocol in small class course(SCC)based on artificial intelligence(AI),with the goal of focusing on the curriculum design and teaching approaches.By using the AI precision education model,the teaching approaches of SCC can be integrated into the traditional classroom.The results showed that the AI precision education model can promote the learning outcomes and enhance students’learning achievements.

技术何以赋能未来高等教育教学:趋势、实践和场景——《2024年EDUCAUSE地平线报告(教学版)》要点与启示

美国高等教育信息化协会(EDUCAUSE)最近发布的《2024年地平线报告(教学版)》,已成为各国政府预测和研判未来高等教育教学高质量发展的重要参考,分析报告内容有助于为我国高等教育数字化转型和高质量发展制定前瞻性战略规划。报告首先采用改进的德尔菲法和“STEEP趋势框架”,从社会趋势、技术趋势、经济趋势、环境趋势、政治趋势和人工智能趋势等六个方面,描述了影响未来高等教育教学的20种宏观趋势;其次,报告详述了影响未来高等教育教学的6项关键技术实践;最后,报告预测了劳动力技能需求驱动的高等教育增长场景、数据收集限制的高等教育约束场景、政治浪潮影响的高等教育崩溃场景、个性化教育赋能的高等教育转型场景等4种未来发展场景。报告主要为我国高等教育教学未来创新发展提供了四个方面的启示:建立健全教育数据安全相关制度和标准,持续推动高等教育数字化转型;重塑人工智能赋能教学和学习的新形态,深化高等教育创新变革与发展;完善技术赋能高等教育保障和服务新体系,促进高等教育可持续性发展;持续加强高等教育师生专业发展培训,助力数智技术赋能新质人才培养。

Teaching Design of Course Building Decoration Materials Based on Generative Artificial Intelligence

With the digital transformation of global education and China's emphasis on education digital,generative AI technology has been widely used in the field of higher education.In this paper,the development of generative AI technology and its potential in personalized learning,interactive content creation and adaptive assessment in education were introduced firstly.Then,the application case of generative AI tools in teaching content creation,scenario-based teaching content development,visual teaching content development,complex concept deconstruction and analogy,student-led application practice and other aspects in the teaching of Building Decoration Materials was discussed.Through the teaching experiment and effect evaluation,the positive influence of generative AI technology on the improvement of students'learning effect and teaching efficiency was verified.Finally,some thoughts and inspirations on the combination of educational theory and generative AI technology,the integration of teaching design and generative AI technology,and the practice cases and effect evaluation were put forward,and the importance of teacher role transformation and personalized learning path design was emphasized to provide theoretical and practical support for the innovative development of higher education.

影响未来高等教育教学的宏观趋势、技术实践和未来场景——《2020年EDUCAUSE地平线报告(教学版)》要点与思考

2020年3月2日,美国高等教育信息化协会发布《2020年地平线报告(教学版)》,报告提供了证据、数据和场景,以及专家们对影响高等教育实际采用新的技术和实践的因素的定量评级。该报告采用改进的德尔菲法和前瞻性方法,描述影响未来高等教育教学的15种宏观趋势、6项技术实践、4种未来场景和9个案例观点。报告先从社会、技术、经济、高等教育和政治五方面描述影响高等教育教学的15种宏观趋势。其中,社会趋势包括幸福感与心理健康、人口变化、公平与公正实践;技术趋势包括人工智能技术影响、下一代数字学习环境、分析能力与隐私问题;经济趋势包括高等教育成本、未来工作与技能、气候变化;高等教育趋势包括学生数量变化、教育的替代途径、在线教育;政治趋势包括高等教育资金减少、高等教育价值观和政治两极分化;其次详述了影响未来高等教育教学的6项新的技术与实践,即自适应学习技术,人工智能/机器学习教育应用,学生成就分析,教学设计、学习工程和用户体验设计提升,开放教育资源和扩展现实技术;再次描绘了未来高等教育教学的增长、约束、崩溃和转型4种可能发展场景;最后9位专家对报告发现进行了反思,阐明世界不同地区、不同规模和类型的机构中问题重叠、分歧和交叉的方式。文章采用内容分析和文本分析方法,从影响未来高等教育教学的宏观趋势、新的技术实践、未来发展场景和文章案例观点四个维度,系统解读《2020年地平线报告》,寻求对中国高等教育教学未来创新发展的启示与建议。

数字化转型助推未来高等教育教学:宏观趋势、技术实践和未来场景——《2023年EDUCAUSE地平线报告(教学版)》要点与思考

最近,美国高等教育信息化协会(EDUCAUSE)发布了《2023年地平线报告(教学版)》。报告采用德尔菲法,从社会趋势、技术趋势、经济趋势和环境趋势四方面,描述了影响未来高等教育教学的宏观趋势,详述了影响未来高等教育教学的6项关键技术和实践,并预测了未来高等教育教学的4种未来发展场景,为各国政府预测未来高等教育教学高质量发展提供了重要参考。文章基于非工具性分析视角,深度解读《2023年地平线报告(教学版)》,提出我国高等教育数字化转型未来创新发展的路径:夯实智能技术赋能的人机协同育人体系,赋能高等教育数字化转型教育服务模式变革;推动人工智能与高等教育教学深度融合,助推高等教育数字化转型的劳动力转型;建立以高质量为导向的微证书保证机制,推动微认证体系持续赋能高等教育教学;构建基于人本教育理念的人才培养模式,筑牢高等教育数字化转型的人文基座。

Research on the Training Mode of Business English Majors in Higher Vocational Colleges under the Concept of Modern Apprenticeship

Based on the experience and lessons of modern apprenticeship in the UK,this paper analyzes the problems existing in the process of the training of business English majors in higher vocational colleges in China,and puts forward the“three identities in four phases”personnel training model which is suitable for the business English majors in higher vocational colleges in China.It provides a reference for the development of business English majors in relevant higher vocational colleges.

人工智能助力高等教育教学:宏观趋势、技术实践及未来设想--《2023 EDUCAUSE地平线报告(教与学版)》要点解读

为全面了解当前人工智能运用于高等教育的现状和发展趋势,进而为教学改革提供参考和启示,美国高等教育信息技术机构EDUCAUSE于2023年5月发布《2023年地平线报告(教与学版)》。该报告基于改进版德尔菲法总结专家小组成员的讨论意见,旨在为高等教育未来走向提供有利视角。报告聚焦高等院校机构、教职工和学生3个层面,概述5个高等教育发展宏观趋势--社会、技术、经济、环境和政治,6个将对未来高等教育产生重大影响的关键技术与实践组合--预测性和个性化人工智能驱动的应用、生成式人工智能、学习模式界限模糊化、混合弹性、微认证,以及支持学生归属感和连接感。报告进一步根据趋势和技术实践描绘4个高等教育未来10年的可能情境--增长、约束、崩溃和转型。基于报告的经验和启示提出中国高等教育教学未来发展的创新规划:优化人工智能服务生态,助力尖端人才培养;重构高等教育价值取向,加强教师能力提升;推动混合学习模式变革,实现创新融合发展;促进终身学习理念发展,构建个性教学体系。

教育数字化转型助推未来高等教育教学:宏观趋势、技术实践和未来场景——《2022年EDUCAUSE地平线报告(教学版)》要点与思考

美国高等教育信息化协会(EDUCAUSE)最近发布的《2022年EDUCAUSE地平线报告(教学版)》已成为各国政府预测未来高等教育教学高质量发展的重要参考.分析报告内容有助于探知教育数字化转型时期未来高等教育教学的宏观发展趋势、关键技术实践和未来发展场景,在借鉴经验的同时省察警示,从而有益于为中国高等教育数字化转型和高质量发展制定前瞻性战略规划.文章基于非工具性分析视角,提出了中国高等教育未来发展的创新路径,包括:优化人工智能驱动的教育数字化转型服务生态,完善高等教育数字化韧性生态系统,助推高等教育拔尖人才培养;重构智能技术赋能高等教育的价值取向,构建教师专业发展与技术动态演进的共生关系,助推高校教师混合教学专业发展;建立微认证项目准入机制,构建高质量教育微认证生态体系,实现微认证持续赋能高等教育教学;优化混合学习空间和混合教学模式,实现双线融合教学模式常态化,推动高等教育教学创新融合发展.

Explore the new mode of development of artificial intelligence technology in the field of music education

This paper discusses the new mode and development trend of artificial intelligence technology in the field of music education.Firstly,it analyzes the challenges and limitations of the traditional music education model,and then introduces the application of artificial intelligence technology in music education,including intelligent auxiliary learning tools,personalized learning systems,virtual reality and augmented reality technology,and artificial intelligence and creative music education.Then,the new model of artificial intelligence technology in music education is discussed in depth,including the design and implementation of intelligent music learning platform,personalized learning path and course recommendation system,intelligent evaluation and feedback mechanism,cross-border integration and innovative application.Finally,it looks forward to the future development trend of artificial intelligence technology in music education,emphasizes the potential of intelligent technology in improving teaching efficiency,enriching learning experience and expanding subject boundaries,and also points out the challenges and problems.

Enterprising Academics:Heterarchical Policy Networks for Artificial Intelligence in British Higher Education

Purpose:There is limited scholarship on artificial intelligence(AI)in higher education governance,despite the growing prevalence of AI-powered technologies in many fields,including education.However,as the technology is still nascent and has yet to reach its full potential,ideas and arguments abound,championing or cautioning against the use of these technologies.Design/Approach/Methods:To fill this gap in research on policy networks and AI in British higher education,this article employs network ethnography and discourse analysis to study how ideas about AI-powered technologies in higher education circulate in policy networks in the United Kingdom.Findings:The findings evidence a policy network showing signs of a heterarchy permeated by neoliberal rationales and populated by policy actors actively promoting artificial intelligence technologies to be used in education.Originality/Value:This paper builds on existing research by looking at the university and notfor-profit sectors,in addition to the governmental and educational technology sectors.Using network ethnography,this article expands our understanding of the policy actors involved and critically analyzes ideas regarding the use of AI in education.

Research on the Cultivation of Innovative Talents in Colleges and Universities from the Perspective of Artificial Intelligence

In recent years,big data and artificial intelligence technologies have developed rapidly.For colleges and universities,artificial intelligence technology can not only be a research topic,but also a tool for higher education reform,providing substantial technical support for the cultivation of innovative talents in universities.Based on artificial intelligence technology,this paper applies artificial intelligence technology to the research of innovative talent training methods on the basis of traditional talent training,and proposes a specific training model framework,and builds a corresponding evaluation system.

教育大模型的发展现状、创新架构及应用展望

从通用大模型到教育大模型,是人工智能大模型技术深化发展的重要趋势。基于对教育大模型发展现状、典型案例、潜在挑战的分析,文章认为教育大模型是适用于教育场景、具有超大规模参数、融合通用知识和专业知识训练形成的人工智能模型,是大模型技术、知识库技术及各类智能教育技术的集成,能够推动人类学习和机器学习的双向建构,进而提出了应用驱动、共建共享的创新架构和“以学习者为中心”的未来应用场景,旨在建立人工智能大模型与各类数字化教育应用的开放接口,持续训练和完善能够更好地解决教育专业问题的教育场景模型,形成让广大师生常态化使用的智能教育开放模型集群和知识库,在提炼和萃取深度教育知识的同时,破解人工智能教育应用中的风险和挑战。

人机争论探究法:一种争论式智能会话机器人支持的学生高阶思维能力培养模式探索

大量学生利用生成式人工智能生成作业,导致了学生高阶思维能力难以有效培养。在人机会话中嵌入“争论噪音”,将是解决这一问题的可能途径。研究采用准实验研究设计,基于高阶思维、建构主义和争论学习理论,利用文心一言、学习分析和腾讯QQ等技术工具,开发了争论式智能会话机器人,构建了人机争论探究法教学模式。结果表明,实验组的学习成绩、批判性思维能力、问题解决能力和学习态度显著优于对照组,但是创新能力效果不显著。为提高人机争论学习效果,教师需要构建特定的高阶思维学习支架,优化人机争论学习的算法机制,培养学生的人机争论素养,研制师生机三元协同争论机制。

Practicability Evaluation and Improvement of Bloodletting Model Mold in Mongolian Medicine Teaching

According to the problems such as low level and depth of experimental teaching research of Mongolian medicine in higher vocational colleges, lack of applicable teaching model mold, lack of students practical operation in time, and single teaching, the development direction and ideas of bloodletting model mold in Mongolian medicine in vocational Mongolian medicine teaching were proposed to provide valuable reference for the experimental teaching reform of traditional therapy of Mongolian medicine and the teaching reform and development ideas of Mongolian medicine and other traditional medicine.

大学生生成式人工智能应用现状与思考——基于浙江大学的调查

本研究随机调查了1190位浙江大学本科生,通过描述统计、差异检验及事后多重比较等方法,分析大学生生成式人工智能的使用现状及影响因素。研究表明,约七成受访者表示熟悉生成式人工智能;三分之二的大学生使用生成式人工智能的时间在2022年12月-2023年6月间,四分之一的大学生开始使用生成式人工智能的时间是2023年7-11月;五分之一大学生表示会经常使用,七成大学生表示会偶尔使用;大学生使用最多的生成式人工智能工具是ChatGPT;使用最多的技术是文本生成技术;最常用的生成式人工智能功能包括文本生成和信息搜索;约六成大学生学过生成式人工智能的知识或技能;大学生使用生成式人工智能的四大典型场景(课程学习、科研活动、日常生活以及升学求职)中,科研活动是最常用生成式人工智能场景;性别、年级、专业大类等变量会不同程度影响大学生使用生成式人工智能;希望学校开设生成式人工智能相关课程/讲座是大学生提出最多的建议。基于调研结果,本研究从高教管理部门、公司机构、高校和教师等角度,提出未来高校使用生成式人工智能的建议,以期为生成式人工智能融入高等教育教学实践提供参考。