Empowering Future Innovators: Data Literacy in K-12 Education
Playing, Moving and Designing with Data: Exploring Young Students' Data Literacy Skills in Embodied Classification Games
In an AI-driven era, cultivating data literacy in K-12 is paramount. This research introduces SorBET, an online game authoring system designed to engage young students in data literacy practices through collaborative play and design of classification games, fostering critical thinking about algorithmic classification and dataset bias.
Quantifiable Impact
Our analysis of the intervention studies reveals significant improvements across key educational metrics.
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Engagement Increase
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Intervention Cycles
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Students Involved
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Data Literacy in K-12
HCI & Embodied Learning
Constructionist Learning
SorBET Digital Tool
Data literacy is increasingly recognized as an essential skill for K-12 students, involving the ability to comprehend, evaluate, analyze, and critically engage with data. Current curricula often lack meaningful components, offering only basic statistical concepts. SorBET aims to fill this gap by making data concepts relatable and interactive for young learners, preparing them for an AI-shaped future.
Human-Computer Interaction (HCI) research highlights multimodal and embodied interaction's role in enriching user experiences. Physical actions during learning activities enhance conceptual understanding and critical thinking. SorBET leverages gesture and voice input, transforming passive information reception into active participation, making abstract data concepts physically and socially negotiable.
Building on Papert's constructionism, SorBET empowers students to develop new knowledge by building and sharing digital artifacts. By designing games and modifying classification systems, students engage in computational thinking, design thinking, and critical thinking, fostering deeper understanding and personal expression through digital media.
SorBET is an open-source, web-based tool for designing and playing interactive classification games. It uses gesture and voice input for multimodal interaction and allows users to define object representations, category logic, and modify game behavior via Blockly code, fostering critical data-related skills and supporting collaborative data exploration.
Iterative Design-Based Research Methodology
Design
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Intervention
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Evaluation
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Refinement
Impact of Multimodal Interaction
Dynamic Collaboration Fostered spontaneous conflict resolution and enhanced strategic reasoning.| Feature | Traditional K-12 | SorBET Approach |
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Case Study: Student-Led Data Transformation
From Play to Intentional Design
In Intervention 2, students used SorBET's design features to restructure classification systems. They created new categories like 'Iron' for NutriNinja, sourced real-world data online for accuracy, and made deliberate choices about object presentation (text vs. images) with other students in mind. This shift from playful to intentional data transformation demonstrated an emerging awareness of data usability and audience needs, reflecting critical data literacy competencies.
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