Augmented Intelligence for Pedagogically Sustained Training and Education

AUGMENTOR旨在开发一种新的教学框架，通过整合新兴技术来提高基本技能和21世纪的能力。该框架将由开放获取的人工智能促进工具包提供支持，该工具包基于大数据和学习分析的优势，为不同类型的利益相关者提供可解释的建议，以智能搜索和识别教育资源，以及设计考虑个人行为者特征、需求和偏好的个性化学习概况。所预见的整体方法是创新的，基于适当结构化的数据，捕获利益相关者的学习路径，促进知情和充分合理的互动，并推进批判性思维。AUGMENTOR将利用教学设计、创造性教学法、可解释人工智能以及知识表示和推理等领域的进步来实现教学目的。我们将有意义地将教学方法与基于人工智能的软件解决方案相结合，以实现从学生到教师和政策制定者的所有链参与者之间的丰富协作。我们的目标是为利益相关者提供指导，指导他们如何解决潜在的教育困难和残疾，塑造个人学习路径，或识别有天赋和有才能的学生，使他们能够充分发挥潜力。AUGMENTOR将增强信任和透明度，并在辅导和教学政策制定方面引发建设性反思。该项目在教学和学习的教学和技术层面之间保持了战略平衡。同时，它同样有助于个人和组织学习的概念，认为它们是相互依存的过程。可预见的解决方案将在一系列代表不同教育和培训环境的实际试点中进行全面部署和验证，以确定最佳实践。

AUGMENTOR aims to develop a novel pedagogical framework that promotes both basic skills and 21st century competencies by integrating emerging technologies. This framework will be supported by an open access AI-boosted toolkit that builds on the strengths of big data and learning analytics to provide different types of stakeholders with explainable recommendations for smart search and identification of educational resources, as well as for designing personalized learning profiles that take into account individual actors’ characteristics, needs, and preferences. The overall approach foreseen is innovative, based on appropriately structured data that capture the stakeholders’ learning paths, promote informed and well-justified interaction, and advance critical thinking. AUGMENTOR will leverage advancements in the fields of Pedagogical Design, Creative Pedagogy, Explainable Artificial Intelligence, and Knowledge Representation and Reasoning for instructional purposes. We will meaningfully integrate pedagogical approaches with AI-based software solutions to enable a rich collaboration among all chain’s actors from students to teachers and policy makers. Our goal is to provide guidelines to stakeholders on how to address potential underlying educational difficulties and disabilities, shape individual learning paths, or identify cases of gifted and talented students, to enable them to reach their full potential. AUGMENTOR will enhance trust and transparency, and trigger constructive reflection in both tutoring and pedagogical policy making. The project keeps a strategic balance between the pedagogical and technological dimensions of teaching and learning. At the same time, it contributes equally to the concepts of individual and organizational learning, considering them as interdependent processes. The foreseen solution will be thoroughly deployed and validated in a series of real pilots representing diverse educational and training settings to define best practices.