AIinEducation-ChangeattheSpeedofLearning（Ⅱ）译题《教育中的人工智能：学习速度的变化》（二）.docx

AIinEducation:ChangeattheSpeedofLearning（Ⅱ）译题《教育中的人工智能学习速度的变化》（二） Product by UNESCO IITE （The UNESCO Institute for Information Technologies in Education）联合国教科文组织教育信息技术研究所该报告为UNESCO IITE新推出的“教育的数字化转型”（Digital Transformation of Education）系列出版物的第一期据悉，“教育的数字化转型”系列將包括政策简报、分析报告和反思论文，以探讨由于技术的使用及其对教育和人类生活其他领域的影响，教育领域正在发生和正在出现的根本性变化1.The Changing Role of Technology in EducationStudents and teachers are facing a world of constant， ever-accelerating change. The disparity between the developed and developing world in terms of access to the internet and smart devices was immediately recognised as a ‘Digital Divide; and as technology entered the classroom in schools where the socio-economic conditions allowed for such investments， fears were expressed that disadvantaged students of all nationalities would be left behind.Conversely， many people held that access to technology and low-cost mobile devices could help close the educational gap caused by failures of the formal education system， and connect those who had left school or never had the opportunity to attend a classroom to rich educational experiences which could address foundational issues such as the global challenge of illiteracy.In the event， the introduction of devices into the classroom did not bring about a commensurate improvement in exam grades — though it did help to enable new pedagogical modalities such as the flipped classroom — and illiteracy rates remained virtually unchanged. The role of the teacher has been proven paramount， along with the need for adequate professional development supports which incorporate the building of digital skills. Far from technology replacing teachers， the role of the teacher is now recognised as the most important factor in unlocking the potential of technology to advance teaching and learning.In concert with the emergence of these new technologies was a focus upon what were termed ‘21st century skills. Knowledge-acquisition was relegated in importance， and the ability to work in teams， to collaborate and communicate effectively and to develop analytical and digital skills to better prepare students for the world they would face upon leaving school assumed a primacy in curricular and pedagogical design. Learning how to learn and the importance of lifelong learning were regarded as intrinsically linked to the acquisition of digital skills and experience in the use of basic technologies.2.Advancements in Technology2.1 Data， Analytics and Personalized LearningThe promise of technology lays in its ability to support personalised learning pathways： but this could not be achieved through the use of hardware or software alone. To determine whether students were building 21st century skills it would be necessary to measure a variety of data， drawn from disparate sources. The implementation of Student Information Systems and Learning Management Systems provided new digital data sets， but the majority of data pertinent to student progress and performance was still in paper form， and often resided solely in the heads of teachers. Before Artificial Intelligence or Predictive Analytics could be employed to assist in the creation of personalized learning pathways， progress was necessary in how data was gathered， stored， and made accessible.2.2 Artificial IntelligenceArtificial Intelligence begins with data. The ability to ingest data from multiple data sources， interrogate that data and derive insights — using tools such as predictive analytics and machine learning — is what makes AI such an exciting advancement in education technology. In an educational context， perhaps the best way to view Artificial Intelligence is to view it as Augmented Intelligence. The application of AI provides all stakeholders with additional information and with insights which can better inform decisions.2.3 Cloud ComputingPerhaps the single most important development in the evolution of Artificial Intelligence has been the shift from what is termed ‘on-premises computing to Cloud Computing， where users access computing resources through the internet， with a virtually unlimited source of computing power that can increase in line with their needs. These resources include tools and applications like data storage， servers， databases， networking， and software. As long as an electronic device has access to the internet， it has access to the data and the software programs to run it.2.4 Machine LearningMachine Learning is an application of Artificial Intelligence which enables computers to act without being explicitly programmed， and to learn and improve from experience without human intervention or assistance. It is used to answer questions that cannot be answered by manual research， and is based on the idea that systems can learn to identify patterns and make decisions and can become more proficient over time， learning from previous computations to produce reliable， repeatable decisions and results.译文1.技术在教。