The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data science being fun to teach and fun to learn. We advocate curiosity-driven, exploratory learning for pursuing these goals. Our illustrations use tasks embedded in contexts that teenagers can relate to, provide visual rewards for computational actions, use rich data-contexts, and integrate statistical and computational thinking. They provide engaging introductions to modern data sourced from databases via Application Programming Interfaces (APIs) that are accessible to a broad range of students and facilitate student personalization for investigation. We provide in-depth discussion of teaching strategies that heavily involve questioning and student tinkering supported by graphical-user interfaces that enable students to interact with the data sources rapidly in multiple ways.

中文翻译：

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关于遍历数据环境：向数据科学专业的学生介绍 API

数据可用性和多样性的爆炸式增长需要学习经验，以更快地揭示更多数据世界并培养数字技术的实用技能。国际学校数据科学项目 (IDSSP) 的主要高级目标包括让学生不断沉浸在从数据中学习的循环中，以及让数据科学教得有趣、学得有趣。我们提倡以好奇心驱动的探索性学习来实现这些目标。我们的插图使用嵌入在青少年可以关联的上下文中的任务，为计算操作提供视觉奖励，使用丰富的数据上下文，并整合统计和计算思维。它们通过应用程序编程接口 (API) 对来自数据库的现代数据进行了引人入胜的介绍，这些数据可供广大学生访问，并促进学生个性化以进行调查。我们深入讨论了大量涉及提问和学生修补的教学策略，这些策略由图形用户界面支持，使学生能够以多种方式快速与数据源交互。