education

Is computer science a relevant academic discipline for the 21st centure

The current view of computing as technology overlooks the discipline’s theoretical and scientific foundations in computer science, weakening the entire computing enterprise.

AI and Education: Grand Challenges

The educational applications of AI are a combination of what Pasteur's Quadrant describes as use-inspired basic and pure applied research. This article gives an overview of the classical and emerging architectures for AI in education. Early researchers focused on creating personalized teaching systems based on solitary learners, whereas recent work takes account of other people and the learning context. Various Grand Challenges illustrate the issues still facing AI in education.

Is Computer Science a Relevant Academic Discipline for the 21st Century?

Is Computer Science a Relevant Academic Discipline for the 21st Century?
Douglas Baldwin, SUNY at Geneseo
The current view of computing as technology overlooks the discipline’s theoretical and scientific foundations in computer science, weakening the entire computing enterprise.

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Education: Why an Informatics Degree?

The article discusses what the study of informatics entails. At is essence, informatics is concerned with how people, information, and technology interact. University informatics programs are thus interdisciplinary in nature. Along with computer science, an informatics student may study any of a variety of subjects including statistics, sociology, and biology. In the baccalaureate informatics program at Indiana University Bloomington, computer programming comes last in a series of topics, rather than first. The University of Michigan has a doctoral program in informatics.

Thoughts on Higher Education and Scientific Research

The notion of a "tipping point" isn't new, al though the concept has relevance in differing ways. Academia seems to be at a tipping point, whereby the steady state of disciplinary specialization is about to give way to an interdisciplinary, collaborative approach to knowledge acquisition. To understand this particular tipping point, it must first appreciate the various emergent viewpoints associated with the concept.

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