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Personalized Learning: Using Actionable Data to Build a Data Culture

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Session description

Join us for “Personalized Learning: Using Actionable Data to Build a Data Culture,” where we’ll share our journey of using data to personalize learning. Discover practical steps for building a data-driven environment, interpreting key data points, and creating impactful visualizations that foster informed decision-making in the classroom.

Outline

Presentation Outline

1. Introduction & Setting the Stage (10 minutes)

Content: We will start by sharing our journey of building a data-driven culture at Frankfurt International School. We will provide an overview of the session and explain why data literacy is essential for personalized learning.

Engagement: We will use a compelling storytelling approach to capture the audience’s interest. We will ask the audience reflective questions, such as, “How does your school currently use data?” to prompt individual reflection (without needing devices).

Process: An engaging narrative will be delivered, using visual aids or slides to illustrate key points. Introduce the concept of a data culture in schools.

2. The Power of Data Literacy for Personalized Learning (15 minutes)

Content: Our session will provide a deep dive into what data literacy means for educators, with examples of how it informs instructional decisions. Highlight specific data points, such as student progress tracking and personalized learning outcomes.

Engagement: We will share a few real-life examples from our experience at Frankfurt International School to show the impact of data-driven decision-making. We will show visuals to break down complex data concepts into understandable and relatable terms.

Process: Our plan is to engage the audience by posing rhetorical questions that help them reflect on their experiences with data. By incorporating relatable visuals we can show before-and-after effects of implementing data-driven practices.

3. Fostering a Data Culture in Schools (10 minutes)

Content: We will discuss how we created and are sustaining a data culture in our school environment. We will highlight leadership strategies, staff collaboration, and the integration of data into everyday teaching practices, for example.

Engagement: Using our school as a case study, we will be able to show the transformative effects of a well-established data culture. We plan to encourage the audience to reflect on the challenges and opportunities in their own schools.

Process: A mix of storytelling and visual case study examples that illustrate the journey toward creating a data-driven culture will be shown.

4. Data Visualizations for Impactful Storytelling (15 minutes)

Content: We plan to explain, and show, the importance of clear, compelling data visualizations in communicating student progress and driving informed decisions. Examples of effective and ineffective visualizations will be demonstrated.

Engagement: We will showcase several data visualization examples and explain why they work (or don’t). We can ask the audience to think about how they present data in their own schools, guiding them through what makes an effective data story.

Process: Slide comparison showing different types of data visualizations will engage the audience to reflect on questions such as, “How could this approach work in your school?”

5. Building Dashboards: Making Data Actionable (5 minutes)

Content: We will provide an overview of how dashboards can simplify data collection and analysis. We will explain how we use tools like Google Sheets and Looker Studio to create actionable dashboards in our school context.

Engagement: A live demonstration of the dashboard we have made will be showcased. Screenshots of will also be used to explain key functionalities. Our visual storytelling will make it easy for the audience to grasp the concept without needing devices.

Process: Using a series of step-by-step slides to walk through the creation of a dashboard, we will focus on the outcomes rather than the technical details - especially as this workshop is designed for a one-hour session.

6. Q&A and Reflection (5 minutes)

Content: Audience questions will be encouraged. We would like to hear participants share thoughts on how they are, or might implement data-driven practices in their schools.

Engagement: We will offer a structured Q&A, where participants can ask about specific challenges or solutions they are curious about. We will also summarize key takeaways to ensure a strong wrap-up.

Process: By facilitating an open conversation, we hope to highlight and address the most common questions, Our goals is to provide practical recommendations that tie back to the session content.

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Supporting research

Supporting Research:

1. “Data-Driven Decision Making in Schools: Lessons from Expert Practices” – Mandinach, E. B., & Gummer, E. S. (2016)

- This book explores the importance of data literacy in education and how schools can build a culture around using data for informed decision-making. It supports the idea of fostering a data culture, which is a central focus of our session.

2. “The Data Wise Project” – Harvard Graduate School of Education

- Website: Data Wise
This resource emphasizes using collaborative practices to create a school-wide data culture, supporting our session’s emphasis on data literacy and team-based approaches to using data for personalized learning.

3. “Looker Studio: Simplifying Data for Educators” – Google for Education

- Website: Google Looker Studio
Looker Studio is the platform we focus on for creating data visualizations and dashboards. This tool is widely used for educational purposes and supports the practical application of our session.

4. “The Learning Analytics Framework” – Siemens, G. (2013)

- Article: “Learning Analytics: The Emergence of a Discipline”
This article discusses the growing role of learning analytics in education and how it can be used to personalize learning. It aligns with our session’s focus on turning data into actionable insights.

5. “Visible Learning for Teachers” – John Hattie (2012)

- Hattie’s research on data-driven teaching strategies is foundational for understanding how educators can use evidence to improve student outcomes. His work provides the theoretical background for the use of data in instructional decision-making.

6. “Storytelling with Data” – Cole Nussbaumer Knaflic (2015)

- This book emphasizes the importance of using data visualization techniques to effectively communicate insights in a clear and compelling way. The author explains how to turn complex data into meaningful narratives that can drive decision-making and influence action. Knaflic’s work supports the idea that data isn’t just about numbers—it’s about telling a story that connects with your audience. This aligns with our session’s focus on creating visualizations that make student progress and learning outcomes accessible and actionable for educators.

Website: https://www.storytellingwithdata.com/

The website provides additional resources, examples, and workshops on how to use data to tell impactful stories, reinforcing our emphasis on the power of visualizations in fostering a data-driven culture in schools.

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Presenters

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Principal Elementary School
Frankfurt International School
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ES ICT Coordinator
Frankfurt International School
ISTE Certified Educator

Session specifications

Topic:

Assessment and Data Driven Practices

TLP:

Yes

Grade level:

PK-5

Audience:

Curriculum Designer/Director, School Level Leadership, Teacher

Attendee devices:

Devices useful

Attendee device specification:

Laptop: Chromebook, Mac, PC

Participant accounts, software and other materials:

This is a listen-and-learn session, so no devices, software, or apps are required. Attendees can fully participate without any preparation or additional materials. However, after the session, we will provide optional resources and links to tools like Google Workspace and Looker Studio for those interested in exploring data visualizations and dashboards further on their own time.

Subject area:

Elementary/Multiple Subjects, Other: Please specify

ISTE Standards:

For Educators:
Leader
  • Shape, advance and accelerate a shared vision for empowered learning with technology by engaging with education stakeholders.
Designer
  • Use technology to create, adapt and personalize learning experiences that foster independent learning and accommodate learner differences and needs.
Analyst
  • Use assessment data to guide progress, personalize learning, and communicate feedback to education stakeholders in support of students reaching their learning goals.

TLPs:

Connect learning to learner, Ensure Equity