"Adolescence is a critical time for brain development, and what we're seeing is that teens who start using cannabis aren't improving at the same rate as their peers," said Natasha Wade, Ph.D., ...

The Java ecosystem has historically been blessed with great IDEs to work with, including NetBeans, Eclipse and IntelliJ from JetBrains. However, in recent years Microsoft's Visual Studio Code editor ...

Abstract: Contribution: This research-to-practice full paper presents “GAIDE: Generative AI for Instructional Development and Education,” introducing a pragmatic and systematic framework for employing ...

Keeping up with the world of Java programming can feel like a full-time job itself. New versions drop regularly, tools change, and what was best practice last year might be a bit… dated now. This ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured concurrency in the coming year. Oracle’s Java team in 2026 will work toward ...

The percentage of teachers who are using artificial intelligence-driven tools in their classrooms nearly doubled between 2023 and 2025, according to data from the EdWeek Research Center. In 2023, a ...

A secure GUI-based banking application built with Java Swing and SQLite using NetBeans IDE. This project demonstrates how to integrate desktop applications with a database to manage financial ...

Workdays without busywork are closer to reality than ever, thanks to artificial intelligence. AI tools that can sort and summarize emails, take meeting notes and file expense reports promise to free ...

People are increasingly turning to artificial-intelligence chatbots for financial advice — but getting valuable information out of them depends on how you ask for it. In chatbot parlance, this process ...

A growing number of special education teachers say they use artificial intelligence platforms to draft all or part of students’ individualized education programs, even as many districts lack policies ...

Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...