AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...

In an era where algorithms are increasingly seen as the future of governance, a new study by the World Bank’s Development Research Group, in collaboration with Senegal’s tax administration, offers a ...

On March 20, 2025, Resort Data Processing (“RDP”) filed a notice of data breach with the Attorney General of New Hampshire after discovering that an unauthorized party accessed the company’s IT ...

Introduction: The development of science and technology has driven rapid changes in the social environment, especially the rise of the big data environment, which has greatly increased the speed at ...

Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...

Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. Learning them enhances ...