Descriptions of Workshops
Intuition, Simulation, Revision, and Calculation: Teaching Probability and Inference Concepts
Facilitator: Steve Phelps
Description:
When teaching probability, it’s easy to focus solely on calculations, but understanding the underlying concepts is just as crucial. This session introduces an instructional arc—Intuition, Simulation, Revision, and Calculation—to deepen comprehension of probability and inference concepts.
Participants will explore real-world scenarios and interactive examples using GeoGebra, learning how to transition students from intuitive guesses to robust, data-driven conclusions. Whether you’re teaching introductory or advanced probability, this workshop offers engaging tools to make concepts memorable and applicable.
Examples in GeoGebra:
What-If-Not? Prove Like This!
Facilitator: Steve Phelps
Description:
Reimagine teaching proofs with a fresh approach inspired by Variation Theory! This workshop helps participants turn traditional textbook problems into dynamic "What-If-Not" activities.
Learn how to incrementally add givens to typical problems and guide students to discover new properties of shapes. This hands-on session is particularly beneficial for Geometry teachers looking to enhance students’ understanding of proof concepts in an engaging and exploratory way.
Examples in GeoGebra:
- Triangle Centers Exploration
- Inscribed Angles and Proofs
- Parallelograms and Area Proofs
- Parallel Lines and Transversals
Exploring Artificial Intelligence Using ANN with GeoGebra
Facilitator: Samantha Garcia, M.Ed.
Description:
Dive into the fascinating intersection of Artificial Intelligence and mathematics education with Samantha Garcia, an experienced educator and technology enthusiast. In this workshop, participants will learn how to use GeoGebra to visualize Artificial Neural Networks (ANNs) that are fundamental in foundational AI. Samantha will demonstrate how GeoGebra’s dynamic tools can be leveraged to explore ANNs, making complex topics accessible and engaging for students.
Participants will:
- Understand how Artificial Neural Networks are used in Machine Learning and AI
- Explore hands-on activities using GeoGebra to illustrate and create Artificial Neural Networks.
- Gain resources to bring technology-driven innovation into their classrooms.
GeoGebra: Yesterday, Today, and Tomorrow
Facilitators: Melanie Tomaschko and Tanja Wassermair, GeoGebra Team
Description:
Join members of the GeoGebra team as they take you on an inspiring journey through the past, present, and future of GeoGebra. This talk will explore how GeoGebra has revolutionized mathematics education over the years and continues to evolve as a powerful tool for teaching and learning.
Together, we will look at…
- latest features and updates, designed to enhance classroom teaching.
- exciting new developments and the future vision for GeoGebra.
GeoGebra for Beginners: A Hands-On Introduction
Facilitators: Melanie Tomaschko and Tanja Wassermair, GeoGebra Team
Description:
Are you new to GeoGebra? This beginner-friendly workshop is the perfect starting point to explore the dynamic world of GeoGebra and discover how it can transform your teaching.
Participants will:
- Learn the basics of using GeoGebra’s intuitive tools and features.
- Create interactive mathematical models and visualizations.
- Explore practical classroom applications to engage students in dynamic learning.
- Receive tips on finding and using ready-made GeoGebra resources.
Using Python with GeoGebra
Facilitators: Samantha Garcia
Description:
Use GeoGebra to help students learn how to write code! Explore example programs that use python to create GeoGebra objects and animations. Then, use the GeoGebra python library to modify or create your own programs at https://geogebra.org/python
Participants will:
- Learn how to use Python to create objects in GeoGebra.
- Access and modify sample programs using Python with GeoGebra
- Understand how to introduce programming concepts to students in python such as sequencing, iteration, and procedures.