Data skills are key to solving the biggest problems of tomorrow. DataClassroom exists to help students understand both those problems and how to unlock their solutions. DataClassroom is a web-app that helps to simplify data analysis and data processing so that students as young as 9 can begin their data analytics journey!

As data becomes an increasingly valuable resource across all fields, the teaching of data skills is becoming increasingly important for middle and high school classrooms. At the same time, as educators, we recognize that the best part of a science education will always be hands-on labs and authentic experimentation. DataClassroom provides teachers the opportunity to integrate next generation data-skills seamlessly with the learning experiences they are already creating.

Transforming the Modern Data Classroom Experience

The data classroom has evolved beyond traditional statistics textbooks and complex software that intimidates students. DataClassroom lets students engage with data and do real analysis, allowing even students with no statistics background to upload and visualize their own data, ask questions, and use statistical tests to form conclusions. This revolutionary approach transforms any learning environment into a dynamic data classroom where students learn by doing.

DataClassroom is designed by a former high school teacher and scientist to be used by beginners for graphing and statistics in grades 6-12 and beyond, with the app meant to grow with students so that younger grades start with graphing while more advanced students move into sophisticated statistical analysis. This scalable approach ensures that the data classroom experience remains engaging and appropriately challenging across all grade levels.

Data Analysis Workflow for Students

Investigate

Visualise

Analyse

Conclude

Advanced Statistical Capabilities for the Data Classroom

DataClassroom goes far beyond simple graphing tools, offering a comprehensive suite of statistical tests that bring university-level analysis into the K-12 data classroom:

Core Statistical Tests:

• Chi-square tests for categorical data analysis

• T-tests for comparing means between groups

• ANOVA and 2-Way ANOVA for multiple group comparisons

• ANCOVA for advanced covariance analysis

• Linear regression for relationship modeling

Advanced Non-Parametric Tests:

• Mann-Whitney U test (also known as Wilcoxon rank-sum test) for non-normally distributed data

• Kruskal Wallis test for non-parametric multiple group analysis

Data Validation Tools:

• D'Agostino-Pearson and Shapiro Wilk tests of normality to ensure appropriate test selection

Interactive Learning Through Animation

DataClassroom guides students through their learning with Animated Hypothesis Tests, which explain the math involved in T-tests or Chi-Square Goodness of Fit using animation. The animated T-test walks students through the math behind calculating a t statistic and calculating a P-value. These visual learning tools make abstract statistical concepts tangible and accessible in the data classroom environment.

Graph-Driven Analysis Approach

The Graph Driven Test feature determines the best statistical test to run for each dataset, helping students learn to apply statistical tests while receiving guidance in interpreting results and communicating findings. This innovative approach ensures students in the data classroom develop both technical skills and critical thinking abilities.

Curated Dataset Library

DataClassroom offers access to 75+ curated datasets covering multiple disciplines including current events, mathematics, and science, making it easy for educators to integrate real-world data into their data classroom activities. These professionally curated datasets eliminate the time-consuming process of finding appropriate data sources while ensuring age-appropriate content.

Seamless Data Classroom Management

Class Integration Features

Teachers can set up classes so students can share datasets, while the platform allows educators to track individual progress as students upload and save data. DataClassroom can easily import class rosters, streamlining the data classroom setup process and enabling efficient classroom management.

Multi-Platform Accessibility

The data classroom experience is enhanced by DataClassroom's web-based architecture, making it accessible across all devices without requiring software installation. This ensures that every student can participate in data classroom activities regardless of their technology setup.

Professional Development for Data Classroom Success

DataClassroom U for Advanced Learning

DataClassroom U is specifically designed for college-level instruction, addressing difficulties that arise when teaching practical data and statistical skills in introductory science and statistics courses. It has been pedagogically designed by a team with real-world experience in both teaching science and conducting research.

Bridge to Professional Tools

The 'Bridge to R' module provides an easy way to start experimenting with both graphing and running hypothesis tests in R, the most widely used statistical package for professionals and academics. This feature prepares students for advanced data classroom work and professional data analysis careers.

Real-World Impact and Documentation

Comprehensive Analysis Documentation

DataClassroom's Interactive Analyses feature performs fully accurate hypothesis tests while taking students through a visualization of the mathematical process. The platform writes up a "Lab Notebook" detailing the process with appropriate language, which can be downloaded as a Word file or PDF. This documentation capability transforms the data classroom into a professional learning environment where students develop scientific writing skills alongside data analysis competencies.

Democratic Data Literacy Mission

DataClassroom Inc. was founded with the vision of improving educational outcomes worldwide, viewing data literacy as an important skill for all, whether used in a profession or as citizens navigating a world where critical thinking is key to participation in democracy. This mission drives the development of tools that make the data classroom accessible and meaningful for every student.

Interesting Features

• Resource Library 

• Free Workshops with Recordings 

Scaling Your Data Classroom Implementation

Getting Started with DataClassroom

DataClassroom allows teachers of grades 6-12 to grow data intuition in students through digital graphing tools that let students customize the look of their graphs, making data their own. This personalization aspect helps students develop ownership of their learning in the data classroom environment.

Progressive Skill Development

The data classroom experience with DataClassroom is designed to grow with students. Younger students begin with basic graphing while older students advance to using statistics for making inferences with data. This scaffolded approach ensures continuous engagement and appropriate challenge levels throughout the data classroom journey.

Integration with Google Ecosystem

DataClassroom includes integration with Google Drive, making it simple for educators to incorporate the platform into existing data classroom workflows and share resources with students and colleagues.

 What Teachers Have to Say

Book a demo at your school or upgrade your educators with a certification!

Transform your learning environment into a cutting-edge data classroom where students develop essential 21st-century skills through hands-on data analysis and statistical reasoning.

Email us at learn@ducklearning.com OR; Call our office at 6747 4236 for more information