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【课程介绍】未来教育学院国际课程简介
发布时间:2023-06-06     文章来源:

未来教育学院国际课程简介


       



未来教育学院

国际课程简介

最全课程介绍在这里!

                         

课程报名请扫描下方二维码


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小学期国际课程一览

                        

对话教育导论:从理论到实践

课程英文名:Introduction to Dialogic Education:From theory to practice

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任课教师姓名/职称:Rupert wegerif/教授 剑桥大学总限报人数:50人

珠海校区参与对象及限报人数:40人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

With this course, students will have the chance to both know the meanings, history, theoretical underpinnings, and contemporary approaches to implementing dialogic education, and to will increase their own dialogic skills and competencies, especially in a collaborative educational or organizational working context. The course is designed based on a dialogic project-based learning pedagogy, in which a variety of teaching and learning activities, such as lectures, discussions, workshops, and other creative and dialogic modalities, will be included.

课程安排:

6.25全天—6.26上午 自主选择参加未来智能教育大会报告

6.26下午—6.30 workshops,专题研讨,课程学习


智能教育—可能性和可行性

课程英文名:AI in Education—possibilities and practicalities

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任课教师姓名/职称:Steve Waston/副教授 剑桥大学

总限报人数:50人

珠海校区参与对象及限报人数:40人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

Introduction to ChatGPT and its capabilities

Demonstration of how ChatGPT can be used in different classroom scenarios (e.g., language learning, writing assistance, content generation)

Hands-on exercises on how to use ChatGPT in teaching and learning

Discussion of the potential benefits and challenges of using ChatGPT in education

课程安排:同上


数字教育的关键问题

课程英文名:Critical Issues in Digital Education

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任课教师姓名/职称:Jeremy Knox/副教授 爱丁堡大学

总限报人数:50人

珠海校区参与对象及限报人数:40人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

This course will explore a range of key themes in digital education, and to become familiar with studying online. Students will take part in stimulating, confidence-building collaborative activities, which will be backed up with a high level of one-to-one tutor support. The course will give students the chance to engage hands-on with digital learning environments, offer practical guidance on the effective use of new technologies for learning, and also cover many of the theoretical, political and pedagogical issues which define digital education as a vibrant field of study.

课程安排:同上


人工智能的实践视角:非线性学习和全球对话

课程英文名:Practical Perspectives on AI: Non-linear Learning and Global Dialogue

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任课教师姓名/职称:Mark Johnson/高级研究员 曼切斯特大学

总限报人数:50人

珠海校区参与对象及限报人数:40人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

This is a practical course in which participants will use generative AI in a collaborative inquiry revolving around three issues of concern in education. These are:

1.The tension between linearity and non-linearity in learning, teaching, institutional organisation and assessment

2.Learning in the natural world and in art

3.AI and non-linear learning

课程安排:同上


表达性建构主义--技术如何能提高学习效果

课程英文名:Expressive Constructivism —how can technology enhance learning

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任课教师姓名/职称:Richard Millwood/副教授 都柏林大学

总限报人数:40人

珠海校区参与对象及限报人数:30人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

The expressive constructivism model of learning directs teacher towards the learner as an active, creative individual who is best served by tools for expression on the one hand and by tools for evaluation on the other.

This course will structured around ten of key features of technology that might enhance expression and evaluation. By asking whether a design for use in education exploits these features, we can evaluate design proposals or consider what might be missing when a technology does not seem to work well. The analysis also acts as a framework for decision making when comparing alternative technology choices for their likely effectiveness in learning situations.

课程安排:同上


教师实用学习分析

课程英文名:Practical Learning Analytics For Teachers

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任课教师姓名/职称:Prof. Dragan Gašević,Dr Yizhou Fan 蒙纳士大学

总限报人数:50人

珠海校区参与对象及限报人数:40人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

This course is a one-week stand-alone summer semester course, which includes five lectures. This course is designed for all students from different majors in teacher education. The course requires no specific prerequisites as long as learners are interested in conducting teaching research and learning analytics studies in their future careers as teachers.

课程安排:同上


人工智能和数据素养

课程英文名:AI and Data Literacy

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任课教师姓名/职称:Tore Hoel/高级研究员 奥斯陆大学;Dai Griffiths/教授 UNIR

总限报人数:50人

珠海校区参与对象及限报人数:40人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

The course will give an introduction to a number of related disciplines used to study contexts of AI, i.e., AI and ethics; AI and data protection and privacy; AI and data literacy; AI and competency requirements; AI and epistemology (what is truth, e.g., what is true art?); and AI and pedagogical approaches at different levels of education.

课程安排:同上


入门:将无聊的工作自动化

课程英文名:Automate the Boring Stuff using Python

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任课教师姓名/职称:Michael Richardson/高级技术顾问 曼切斯特大学

总限报人数:40人

珠海校区参与对象及限报人数:30人

学时/学分:16学时/1学分

时间:6月25日至6月30日

考核方式:考查

报名方式:通过教务选课系统线上报名

课程简介:

This course is intended to teach coding skills to beginners. It will provide a solid foundation from which students could then look to do more advanced courses, should they so choose. The first part of the course will cover basic Python programming concepts, and

the second part will cover various tasks that can be automated by a computer through Python programming. There will be 2 practical assignments to complete and the course will culminate in students building a real-world app.

课程安排:同上




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文字:未来教育学院

排版:陈睿

审核:袁莉

发布:许靖添


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