Data science is emerging fast and a single definition of it has not yet been reached. In this blog, we presented six facets of data science, each highlighting a different perspective of the field. This multifaceted nature of data science may partially explain the difficulties associated with the efforts to define it.
This paper was presented at the 1999 Annual Meeting of the American Educational Research Association on evaluating capacity.
This paper reviews traditional assessments and presents artificial intelligence approaches that might address current issues and/or present additional challenges.
Universal Design for Learning (UDL) is a research-based framework intended to guide the design of learning technologies that are accessible and effective for all students, including those who are struggling academically and those with special needs.
The Learning Sciences is a field of scientific research that developed in the 1980s, from influences which include cognitive science, computer science, information processing psychology, child development, anthropology, and linguistics.
Computers and Education: Artificial Intelligence Journal Publication, Volume 2, 2021, Open access
This is a limited podcast series with five interviews with researchers in the fields of artificial intelligence, learning analytics, ethics and student privacy.
A glossary of AI and emerging technology terms last updated October 11, 2021.
Ben Shneiderman discusses “Responsible AI,” a Viewpoint column in the August 2021 CACM.
Recruitment is a key challenge for researchers conducting any large school-based study. Random assignment studies, however, can pose greater challenges than others because of the degree of control that researchers often require.
