In this time of education and health care reform, school-based mental health services must be flexible to meet the needs of our schools and students. Lamoille County Mental Health Services (LCMHS) is ...
Brenham ISD has developed a framework to strengthen literacy instruction across the district, and the Texas Education Agency has taken notice. Members of Brenham ISD's literacy instructionframework ...
MARQUETTE – Three Northern Michigan University students have been selected to participate in the third cohort of NMU’s Rural Leadership Fellowship Program, a public-private partnership with InvestUP ...
Curriculum Prioritization, Most Essential Learning Competencies (MELCs), COVID-19, Curriculum Coherence, Teacher Agency Share ...
Accelerate Learning has published a new guide to help K-12 educators implement the Mathematics Framework for California Public Schools. The free guide, "Building the New California Math Classroom," is ...
Abstract: This paper describes an instructional experience in a core course of an Electronic, Robotic and Mechatronic Engineering degree, where students were encouraged to address socially relevant ...
Abstract: This paper addresses the critical challenge of enhancing resiliency in smart power grids against cyber-physical disturbances, including cyber-attacks, system faults, and dynamic load ...
Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...
That idea is at the heart of new grant-funded work underway in the School District of La Crosse, where educators are ...
Apprenticeship within the Igbo system is governed by clearly understood norms: learning occurs through immersion, assessment ...
ALEXANDRIA, MN, UNITED STATES, January 4, 2026 /EINPresswire.com/ — Across the country, families are reassessing how education fits into daily life. Rising academic pressure, fragmented resources, and ...
We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...