IEEE

Learning Early Warning Guided by Course Objective Achievement via Knowledge State and Learning State Modeling

Abstract: Timely and effective early warning is essential for proactive intervention to mitigate students’ learning risks. Existing studies on learning early warning primarily predict students’ ...
MarketWatch

Sharpa Announces CraftNet - a hierarchical VTLA model for fine manipulation

The MarketWatch News Department was not involved in the creation of this content. "We manufacture time by making robots useful." LAS VEGAS, Jan. 6, 2026 /PRNewswire/ -- At Sharpa, our mission is to ...
The Conversation

The ‘one chatbot per child’ model for AI in classrooms conflicts with what research shows: Learning is a social process

Niral Shah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
Forbes

How The OBC Model Can Deliver Meaningful Learning Opportunities

Forbes contributors publish independent expert analyses and insights. I write about how we can advance opportunity in education. Nov 04, 2025, 09:05am EST When the U.S. Department of Education ...
Drexel University

Incorporating Universal Design for Learning (UDL) Strategies Into Your Teaching

From the Dean's Desk welcomes guest author Melissa Kaufman, EdD, Associate Dean for Education at Drexel University's Dornsife School of Public Health Universal Design for Learning (UDL) is "a ...
sec-ed

Learning objectives, lesson objectives and success criteria

What are the differences between lesson objectives, learning objectives and success criteria and how can we sharpen our lesson planning and pedagogical choices? Helen Webb offers some practical ...
IEEE

Adaptive Federated Learning through Dynamic Model Splitting and Multi-Objective Clustering

Abstract: Federated Learning (FL) enables multiple parties to collaboratively train models without centralizing data, making it ideal for privacy-sensitive applications. However, the heterogeneity and ...
Education Week

Rick Hess Straight Up

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
New America

An Innovative Model for Deeper Learning in NYC Public High Schools

Alan Cheng, high school superintendent for New York City Public Schools, leads a portfolio of 50 innovative schools—including those in the Internationals Network for Public Schools, the New York ...