Kentucky Academic Standards structure Data & Analysis into storage, collection/visualization/transformation, inference & models, and impacts of computing¶

Theory · All theories
Evidence · no claims cited

Description¶

The webinar organizes the K-2 Computer Science standards for Data & Analysis into three sub-areas plus an ethics-related impacts standard: "E-DA-01: Appropriately store and modify digital files"; "E-DA-02: Standard 2: Collect and visually display data using appropriate applications"; "E-DA-03: Standard 3: Analyzing data for trends and relationships"; and E-IC-04 on proper use of data in a computing society. This taxonomy frames what K-2 data instruction should cover.

Design Implications¶

Context¶

Requirements¶

• Alignment of classroom data activities to the KAS for Computer Science and Technology standards

Constraints¶

• Standards are specified for the primary (K-2) grade band with guidance and support

Target Learners¶

• K-2 primary grade students

Target Learning Objectives¶

• data storage
• data collection and visual display
• analyzing data for trends and relationships
• ethical use of data

Claims¶

Related Theories¶

• Kentucky Data & Analysis standards organize learning into storage, collection/visualization/transformation, inference & models, and data ethics strands
• Kentucky K-8 computing framework: five key concepts of CS and seven big ideas of technology

Examples¶

• Group tree seasonal observation activity
• Seed germination observation activity for K-2 data collection
• Integrate data and analysis into existing K-2 teaching practices through classroom graphs such as birthdays and word walls.
• Use a culture-themed children's book to generate data for K-2 glyph and graph activities.

Key Sources¶

• Computational Thinking Boosters: Data & Analysis in K-2. (2020). Professional development webinar slide deck, NSF grant #1923314. https://digitalpromise.dspacedirect.org/items/2d859929-49a6-41ae-ab1f-c982d2726736