Resources

General Reference

"Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning" by Kathryn Parker Boudett, Elizabeth A. City, and Richard J. Murnane: This book provides practical guidance on how to collect, organize, and analyze data in the context of improving teaching and learning outcomes.
National Center for Education Statistics (NCES) - Data Tools: NCES offers a wide range of data tools and resources specifically tailored for educators. These tools include the Integrated Postsecondary Education Data System (IPEDS), the Common Core of Data (CCD), and the Education Demographic and Geographic Estimates (EDGE), among others.
American Statistical Association (ASA) - K-12 Statistics Education Resources: ASA offers resources specifically focused on statistics education for K-12 teachers. Their website provides access to lesson plans, data sets, webinars, and professional development opportunities.
Data Science Education Program (DSEP) - Teaching Resources: DSEP offers teaching resources aimed at introducing data science concepts and practices to educators. Their resources cover a wide range of topics, including data collection, visualization, and analysis.
DataCamp: DataCamp is an online learning platform that offers interactive courses in data analysis, data visualization, and programming. Their courses cover popular tools and programming languages like Python, R, and SQL.
Edutopia - Data-Driven Instruction: Edutopia, a trusted educational resource, provides articles, videos, and case studies on data-driven instruction. They explore various aspects of data collection and analysis, including formative assessment, data visualization, and using data to inform instruction.
National Education Association (NEA) - Data-Driven Decision Making: NEA offers resources and tools to support educators in using data for decision-making. They provide practical tips, case studies, and strategies to help educators effectively collect and utilize data to improve student outcomes.
Data Analysis and Probability Resources for Teachers: This collection of resources curated by the Math Forum provides links to data analysis and probability resources suitable for teachers at different grade levels. It includes lesson plans, data sets, and interactive tools for exploring data.
Harvard Graduate School of Education - Data Wise Project: The Data Wise Project at Harvard offers a range of resources, including books, tools, and online courses, to support educators in using data effectively to inform their practice and improve student learning.
Local and State Education Agencies: Many local and state education agencies provide resources and training opportunities related to data collection, organization, and analysis. Check your local education department's website or contact them directly to inquire about available resources.

Remember to explore online communities, professional learning networks, and local education conferences to connect with other educators who are passionate about data-driven practices. Collaborating and sharing experiences with peers can further enrich your understanding and implementation of data collection and analysis in education.

Tools and Templates

Google Forms: Google Forms is a popular free tool that educators can use to create surveys, quizzes, and assessments to collect data from students. It provides an easy way to collect and organize data in a structured format.
Microsoft Excel: Many educators are already familiar with Microsoft Excel, which offers powerful data organization and analysis capabilities. It can be used to input, organize, and analyze data using formulas, functions, and visualization tools.
Google Sheets: As a part of Google Workspace for Education, Google Sheets is a cloud-based spreadsheet tool that many educators use. It allows for real-time collaboration, making it easy to collect, organize, and analyze data collectively.
Learning Management Systems (LMS): LMS platforms like Google Classroom, Moodle, or Schoology often have built-in features for data collection and analysis. Educators can utilize these tools to track student progress, assess learning outcomes, and gather data on student performance.
Online Quiz Platforms: Platforms such as Kahoot!, Quizizz, and Socrative enable educators to create and administer quizzes digitally. These platforms often provide data analytics and reports that can be used to assess student understanding and progress.
Digital Assessment Tools: Various digital assessment tools like Nearpod, Edpuzzle, and Flipgrid offer features to collect data on student responses and engagement during interactive lessons and multimedia activities.
Learning Analytics Dashboards: Some educational technology platforms, such as Khan Academy, Duolingo, or Code.org, provide educators with learning analytics dashboards that offer insights into student progress, completion rates, and performance.
Interactive Whiteboard Software: If educators are using interactive whiteboard software like SMART Notebook or Promethean ActivInspire, these tools often have built-in data collection features, allowing educators to gather student responses and interactions during lessons.
Online Survey Tools: Apart from Google Forms, other free online survey tools like SurveyMonkey and Typeform can be used by educators to gather data from students, parents, or colleagues on various topics related to teaching and learning.
Classroom Response Systems: Poll Everywhere, Mentimeter, or Plickers are classroom response systems that enable educators to collect real-time data during lessons, quizzes, or discussions, providing instant feedback and insights.

Training

Google for Education Training Center: Google for Education provides a free training center with various courses and resources on using Google tools, including Google Forms and Google Sheets. Educators can access self-paced lessons, tutorials, and certification programs to enhance their data skills.
Microsoft Educator Center: Microsoft Educator Center offers free training courses and resources for educators using Microsoft tools like Excel and Power BI. They provide tutorials, lesson plans, and professional development opportunities to support data collection and analysis skills.
Tableau eLearning: Tableau offers free eLearning resources for educators interested in data visualization and analysis. Their training modules cover a wide range of topics, from beginner to advanced, enabling educators to enhance their skills using Tableau Public.
Khan Academy: Khan Academy offers free online courses and lessons on data analysis and statistics. Educators can access their comprehensive resources to learn about data collection, organization, and analysis techniques, and apply them in an educational context.
Codecademy: Codecademy provides free interactive courses on programming languages like Python and R. Educators can learn data analysis and manipulation skills using these languages, which can be applied to various data collection and organization scenarios.
Coursera: Coursera offers free online courses from top universities and institutions on a wide range of topics, including data analysis and statistics. Educators can explore courses like "Data Science and Machine Learning Bootcamp with R" or "Data Analysis and Visualization with Python" to enhance their skills.
edX: edX provides free online courses from renowned universities and organizations. Educators can enroll in courses like "Introduction to Data Science" or "Data Analysis and Visualization with Excel" to gain knowledge and skills in data collection and analysis.
DataCamp: DataCamp offers free courses and tutorials on data analysis, statistics, and programming. Educators can access their curated learning paths and interactive exercises to strengthen their data skills using popular programming languages like Python and R.
YouTube Channels and Webinars: Many educational technology companies, software providers, and education-focused channels on YouTube offer free webinars, tutorials, and demonstrations on data collection, organization, and analysis using specific tools. Educators can search for relevant channels or subscribe to newsletters to stay updated on upcoming sessions.
Professional Learning Networks (PLNs): Engaging in professional learning networks, such as Twitter chats or online communities like Edutopia, ASCD EDge, or Teaching Channel, allows educators to connect with peers and experts who share resources and insights on data collection and analysis practices.