Competency-based education is an instructional strategy that focuses on students demonstrating mastery of specific skills or knowledge areas before progressing. Unlike traditional models that often ...

Elementary teachers can create authentic contexts for students to practice critical thinking, collaboration, and ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Ontario’s revised kindergarten program asks teachers to use both explicit literacy instruction and play-based learning.

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

Abstract: Contribution: This study incorporates competition-based learning (CBL) into machine learning courses. By engaging students in innovative problem-solving challenges within information ...

SHENZHEN – China has blocked the sale of artificial intelligence start-up Manus to American tech giant Meta, months after it announced an investigation into the deal involving the Chinese-founded firm ...

A recent paper by NITI Aayog highlights the urgent need to reform India's education and skilling system to better prepare its workforce for the future. Titled Education and Skilling for Employment: ...

TEMPE, Ariz.--(BUSINESS WIRE)--Imagine Learning today announced a partnership with the Modern Classrooms Project (MCP) to help districts accelerate student achievement in math through stronger ...

Best practice pedagogy for online, blended and in-person university teaching. Educators from universities around the world share advice, insight and experience on effective instructional design, ...

Objective: The objective of this paper is to demonstrate how CBPR can be systematically applied to the formative design and evaluation of Electronic Problem-Solving Training (ePST), a metacognitive, ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...