Malaysia Sun

Why Vedanta-Based Learning Is Replacing Self-Help for Stressed Professionals and Entrepreneurs

Adhvaitha Conscious Society (ACS), a learning and community based organisation rooted in ancient Vedantic wisdom, has marked ...
Nordot on MSNOpinion

‘Stunning’: Experts attribute USCD remedial math surge to DEI, poor teaching methods

Key Takeaways ・UCSD has seen a dramatic increase in freshmen needing remedial math, rising from 1 in 100 to 1 in 8, ...
EDUCAUSE Review

AI-Powered Pedagogy: A Guide to Evidence-Based Teaching Tools

Accessible artificial intelligence (AI) tools can help educators streamline course development, integrate evidence-based ...
Carnegie Mellon University

Blending Humanistic Inquiry and Technology, Carnegie Mellon Leads a New Era of Cultural Study and Research

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...

Skills Over Scores: The Rise Of Competency-Based Education In India

India’s education system is shifting from rote learning to competency-based education under NEP 2020, focusing on skills, ...
IEEE

Energy Management for Rural Microgrid With Inaccurate Equipment Parameters: A KAN-Based Deep Reinforcement Learning Method

Abstract: During the agricultural season, the proportion of irrigation load in rural microgrid increases rapidly. However, the energy can hardly be managed effectively due to the surge in irrigation ...
Frontiers

Exploring mathematics teachers’ insights and practices of project-based learning in primary schools of Nyamasheke district, Rwanda

1 African Center of Excellence for Innovative Teaching and Learning Mathematics and Science (ACEITLMS), Rwamagana, Rwanda 2 University of Rwanda-College of Education (UR-CE), Kayonza, Rwanda ...
IEEE

A Learning-Based Method for Computing Self-Motion Manifolds of Redundant Robots for Real-Time Fault-Tolerant Motion Planning

Abstract: The focus of this research is to develop a learning-based method that computes self-motion manifolds (SMMs) efficiently and accurately to enable real-time global fault-tolerant motion ...