Augmented Intelligence for Pedagogically Sustained Training and Education

Augmentor的目标是开发一种新颖的教学框架，通过整合新兴技术来促进基本技能和21世纪的能力。这一框架将得到一个开放获取的人工智能推动的工具包的支持，该工具包建立在大数据和学习分析的优势之上，为不同类型的利益攸关方提供可解释的建议，用于智能搜索和识别教育资源，以及设计考虑到个别行为者特征、需求和偏好的个性化学习简档。所预见的总体方法是创新的，以适当的结构化数据为基础，这些数据捕捉利益相关者的学习路径，促进知情和合理的互动，并促进批判性思维。Augmentor将利用教学设计、创造性教育学、可解释人工智能以及用于教学目的的知识表示和推理领域的进步。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条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，塑造个人学习途径，或确定有天赋和有才华的学生的案例，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的思考。该项目在教与学的教学和技术层面之间保持战略平衡。同时，它对个人和组织学习的概念做出了同样的贡献，认为它们是相互依存的过程。预计的解决方案将在代表不同教育和培训环境的一系列实际试点中进行彻底部署和验证，以确定最佳做法。

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.