Artificial intelligence (AI) can help children to solve tasks and get better results in school, but ultimately may hinder ...

The use of artificial intelligence (AI) in schools can help with solving tasks but hinder learning and lead to laziness and ...

Abstract: The increasing demand for compute intensive Internet of Things (IoT) applications has accelerated the adoption of multiaccess-edge computing (MEC) to offload tasks from resource constrained ...

Abstract: To address the challenges of high resource dynamism and intensive task concurrency in microservice systems, this paper proposes an adaptive resource scheduling method based on the A3C ...

Curriculum Prioritization, Most Essential Learning Competencies (MELCs), COVID-19, Curriculum Coherence, Teacher Agency Share and Cite: Malihan, J.C. (2026) Relearning What Matters: The MELCs as a ...

Incorporating peer review and individual reflections makes frequent, intentional formative assessment manageable, with big ...

Yongho Bae, PhD, associate professor of pathology and anatomical sciences, has been named a recipient of the 2025-26 Meyerson Award for exceptional teaching and mentorship of undergraduate UB students ...

With a years-long shift to skills-based instruction and grading, this district found an unexpected outcome—an increase in AP ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Fudan University's new guidelines specify that course teaching teams can use AI to optimize course module divisions, learning ...