Researchers and policy makers often use the metaphor of an ever‐narrowing pipeline to
describe the trajectory to a science, technology, engineering or mathematics (STEM) degree …

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced
computing technologies, AI performance prediction model is widely used to identify at-risk …

Online education has been facing difficulty in predicting the academic performance of
students due to the lack of usage of learning process, summative data and a precise …

Abstract Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently
emerged as an attractive domain for states and school districts interested in predicting …

This study applies the theory of planned behavior as a basis for exploring the impact of
knowledge, values, subjective norms, perceived behavioral controls, and attitudes on the …

In this chapter, we discuss the scholarly debate about the nature and consequences of
losses from STEM majors. We also offer a summary of findings from the original study …

Many studies have tested external supports for promoting productive collaboration, but
relatively few have examined what features characterize naturally productive collaborative …

Mathematics and science course graduation requirement (CGR) increases in the 1980s and
1990s might have had both intended and unintended consequences. Using logistic …

Background/Context Although students frequently begin forming ideas about potential
college majors or career choices prior to entering college, research on Science, Technology …

The number of jobs in science, technology, engineering, and math (STEM) is growing
rapidly and is expected to increase by approximately 1 million in the United States between …