This paper reviews the literature on emergent technologies from the field of science
education. In an effort to summarize the current state of research, and identify specific types …

The study of complex systems has been highlighted in recent science education policy in the
United States and has been the subject of important real-world scientific investigation …

Penelitian yang baik didasarkan pada kebutuhan dari masyarakat untuk mengisi
kekosongan pengetahuan sebelumnya, menemukan jawaban dari pertanyaan-pertanyaan …

Application of new automated scoring technologies, such as natural language processing
and machine learning, makes it possible to provide automated feedback on students' short …

How do people learn in subject areas, such as reading, writing, mathematics, science, and
history, and how can we help people learn, using instructional methods such as feedback …

Developing understanding about the Earth's climate and the phenomenon of global climate
change (GCC) is essential for all students, our future citizens and decision-makers. Recent …

A design study was conducted to test a machine learning (ML)-enabled automated feedback
system developed to support students' revision of scientific arguments using data from …

This paper describes HASbot, an automated text scoring and real‐time feedback system
designed to support student revision of scientific arguments. Students submit open‐ended …

This longitudinal case study explores how students' epistemic uncertainty in argumentation
can be adapted as a resource to develop knowledge in a fifth-grade classroom. Major data …

Integral to fostering computational thinking (CT) skills, which are increasingly essential in
today's digital era, has been the shift of paper‐based pictorial modeling activities to …