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When Students Use AI to Solve Problems, How Will They Learn Math?
Thursday, May 21, 2026 02:00 PM
Language:
English
Learning mathematics is much more than just finding the answers to homework problems, but the act of doing these assignments is vital. Getting hands-on with the math develops a student’s understanding and skills, and builds the foundation they need to master the next topic. If AI is completing the assignment, the student is not learning, which will affect not only their ability to pass the next mid-term or exam, but their ability to learn the next topic, and the next course. But we can’t stop students from using AI, so now what?
In this session, we will explore how the math software Maple, together with the Math Success Platform built on Maple technology, enables educators to “ask better questions” that promote thinking and understanding, and provides students with an environment that encourages them to get hands-on with mathematics. We will also explore how analyzing data on how students are using AI can be used to highlight areas of struggle that are hidden by traditional assessments.
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Web Handling Control Strategies: Model, Analyze, and Optimize with MapleSim
Wednesday, May 27, 2026 02:00 PM
Language:
English
Web breaks, sagging material, and unstable tension are among the most frustrating and costly problems in roll-to-roll converting. Web handling control can be surprisingly complex to diagnose and optimize — and understanding how the control system affects web behavior isn't always straightforward. Getting control parameters right, understanding how sensors and actuators interact, and anticipating real-world disturbances are all challenges that are difficult and expensive to solve through trial and error on a live machine.
Simulation gives engineers a safe, cost-effective way to build, test, and optimize control systems before commissioning and to diagnose problems on existing lines without disrupting production.
In this webinar, René Noack, Senior Application Engineer at Maplesoft, takes you inside MapleSim for Web Converting Systems and shows how it can be used to simulate the full range of control strategies used in real converting processes. Using practical, hands-on examples, René will walk through how to build control loops from the ground up and progressively add real-world complexity — giving you a clear picture of how your control system will behave before it ever runs on the floor.
Key Takeaways:
A clear understanding of the most common control strategies used in web handling and how to model them in MapleSim
Practical insight into how real-world factors — bearing losses, sensor noise, and radius measurement errors affect control quality and what you can do about them
Confidence in using MapleSim's ready-to-use control components to build and test control loops quickly
A framework for using simulation to diagnose, analyze, and fix web handling control problems without touching the machine
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