Last week, Graham was awarded the ‘John Larmer Lifelong Learning Award’ by PBL Works, the organization that sets the standard for project-based learning across the nation. The award recognizes up to ...

Exploration of the Path of Artificial Intelligence Enabling Science Education. Open Access Library Journal, 12, 1-8. doi: 10.4236/oalib.1113212 . With the gradual application of artificial ...

ACRL announces the publication of Instructional Design for Teaching Information Literacy Online: A Student-Centered Approach, ...

Impact of group work environment and size on L2 motivation in project-based learning. System , 2025; 130: 103621 DOI: 10.1016/j.system.2025.103621 Cite This Page : ...

When it opened in 2007, Tech Valley was at the forefront of project-based STEM learning. One of the early New Tech Network schools, it was conceived during a high-tech building boom, taking its name ...

Text emotions classification is the problem of assigning emotion to a text by understanding the context and the emotion behind the text. One real-world example is the keyboard of an iPhone that ...

A Somerset councillor has called for an official inquiry into a "truly appalling" regeneration project in Glastonbury following the death of a local businessman's wife. Jonathan Wilkins ...

In a report released on Tuesday, Google’s Threat Intelligence Group (GTIG) revealed that IT workers linked to the Democratic People’s Republic of Korea (DPRK) have scaled up operations outside the U.S ...

Gurugram-based real estate firm Neworld Developers, has said that the company plans to launch real estate projects worth Rs 5,000 crore over the next five years. These projects will be an ...

On agricultural and industrial sites, where every roof can generate energy, unsuitable structures or high reinforcement costs often hinder solar panel installation. French plastic sheeting ...

A project-based roadmap for mastering machine learning, covering essential concepts like supervised and unsupervised learning, deep learning, NLP, and model deployment. Each phase includes hands-on ...

Rule-based reinforcement learning (RL) or reinforcement fine-tuning (RFT) is a promising alternative, requiring only dozens to thousands of samples instead of massive datasets. Various approaches have ...