By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...

Teacher shares how students can quickly recognize and classify mixed-concept numericals chapter-wise. , Education, Times Now ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

The Johnson & Wales approach to education has always been richly experiential. Now, that real-world, hands-on focus is being fully integrated into every course, including those in the Core Curriculum.

Mathematics is often seen as the most reliable system humans have ever created. Yet buried deep within its foundations lies a flaw that cannot be removed, only managed. This issue doesn’t make math ...

Districts are already making large financial investments into core programs. So why are they still buying more resources to make up for what their textbooks can’t do? Let’s be honest about what’s ...

Introduction: This systematic review investigates the implementation of Problem-Based Learning (PBL) in K-12 mathematics education, offering a recent synthesis of current interventions. Methods: In ...

ZURICH — Anyone who has tried to lead a congregation through a Scripture memorization program knows the pattern: enthusiastic sign-ups in week one, scattered participation by week three, and awkward ...