Future of Education and Skills 2030: Conceptual Learning Framework（Ⅱ）

譯题 2030年教育与技能的未来：概念性学习框架（二）

Product by OECD（Organization for Economic Co-operation and Development）

经济合作与发展组织

Tackling Educational Challenges using Artificial Intelligence

Students：

Helping everyone to know

AI systems can readily acquire and process knowledge. They can rapidly build up vast representations of bodies of knowledge and these can be harnessed to help us to develop our knowledge and to learn facts. This is easiest in well-defined subject areas， such as science and maths but can also be harnessed in other disciplines which require knowledge of non-contextualised facts.

The bodies of knowledge embedded in AI systems can then be used to help students. They can be presented to students in a variety of modes for example as text augmented with pictures or audio or video. The AI system can time the presentation of the knowledge and therefore pace the learners experience as well as vary the order that the resources are presented to learners in order to maximise learning or meet some other criteria which is embedded in the design of the system.

Individualised feedback

AI systems store information about learners and can give feedback to learners about how they are doing both in terms of whether they have got something correct or not.

Repetition， drill and practice

Learning often requires repetition in order to consolidate knowledge or skills. AI systems can readily supply endless examples （without losing patience！） and therefore be used to consolidate knowledge and skills both for learners who are struggling and have not yet consolidated their knowledge or mastered a skill and for those who wish to practice.

Supporting Collaboration

When students work collaboratively， Ai systems can be used to monitor some indicators of collaboration and can therefore be used to both monitor and manage collaborative working and learning.

Teachers：

Changing the nature of what is taught by teachers

As AI systems are developed that store wider bodies of knowledge and enable students to practice a range of skills， teachers time can be freed up to work with learners on other aspects of their development to enable them to become active and engaged citizens. Teachers will be able to work with learners to develop the six other types of inter related intelligences， secure in the knowledge that AI will ensure that all their students have the academic knowledge and skills that they need.

Assessing and monitoring student progress

AI systems store information about what students know and can do and what information and resources have been presented to students as well as the skills they have practiced and mastered. Teachers can readily have access to this information which can be presented for individuals， particular groups and the whole cohort. It can be used for a variety of purposes which can save time if used effectively.

Teachers need to know what their students know and can do. It is important for teachers to monitor their students progress in order to ensure that their teaching is effective. The information can be used for reporting purposes – to parents and school leaders， as the basis for conversations with learners to motivate them and engage them in their learning as well as developing their confidence in their own knowledge and skills.

Planning future teaching and interventions

On the basis of the information that teachers have about individuals and groups of learners， teachers can plan their future teaching， for example， to address gaps in knowledge or skills for an entire cohort of students or to plan interventions for individual children. They can also plan their teaching so as to move onto different areas when their students are ready.

譯文

利用人工智能解决教育挑战

学生方面

帮助每个人知道

人工智能系统可以轻松地获取和处理知识。它们可以迅速地建立起大量的知识体系，这些知识体系可以用来帮助我们发展知识和认知现实。这在定义明确的学科领域是最简单的，如科学和数学，但也可以用于其他没有现实背景知识的学科。

嵌入在人工智能系统中的知识体系可以用来帮助学生。它们可以各种形式呈现给学生，例如添加有图片、音频或视频的文本。人工智能系统可以及时呈现知识，从而加快学习者的体验，以及改变资源呈现给学习者的顺序，以最大限度地提高学生学习或满足系统设计中嵌入的一些其他标准。

个性化反馈

人工智能系统存储关于学习者的信息，并可以向学习者反馈他们是如何做的，即他们是否得到了正确的东西。

重复、演练和实践

学习通常需要重复，以便巩固知识或技能。人工智能系统可以很轻松地提供无穷无尽的例子，而且不会失去耐心！因此，被用来给那些还在挣扎没有掌握知识和希望多多实践的学习者巩固知识和技能的希望。

支持协作

当学生协作工作时，人工智能系统可以用来监控协作的一些指标，因此可以用于监控和管理需要协作的工作和学习。

教师方面

改变教师教导的本质

随着人工智能系统的开发，学生能够存储更广泛的知识体系，掌握一系列技能，教师也可以腾出时间与学习者在其发展的其他方面进行合作，使他们能够成为积极参与的公民。教师将能够与学习者合作，开发其他六种类型的相关知识，确保人工智能让所有的学生拥有他们所需要的学术知识和实践技能。

评估和监控学生的学习进度

人工智能系统存储了学生已知的和能做什么的信息，以及他们已经练习和掌握的技能资源。教师可以很容易地获得这些信息，这些信息可以提供给个人、特定的群体和整个团队。它可以用于多种目的，如果有效地使用，就可以节省时间。

教师需要知道他们的学生知道什么和能做什么

教师监督学生的进步以确保教学的有效性是很重要的。这些信息可用于向家长和学校领导报告以及作为与学习者对话的基础，以此激励他们，让他们参与学习，并提高他们学习知识和技能的信心。

规划未来的教学和干预措施

根据教师掌握的关于个人和群体的信息，教师可以规划他们未来的教学内容。例如，解决学生在知识或技能方面的差距，或为个别儿童计划干预措施，也可以计划他们正在进行的教学，以便当他们的学生准备好时转移到不同的领域。