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AI Based Personal Learning Environments: Directions for Long Term Research

Year: 1976

Type: article

Abstract: The application of artificial intelligence (AI) techniques to the design of personal learning environments is an enterprise of both theoretical and practical interest. In the short term, the process of developing and testing intelligent tutoring programs serves as a new experimental vehicle for exploring alternative cognitive and pedagogical theories. In the long term, such programs should supplement the educational supervision and guidance provided by human teachers. This paper illustrates our long term perspective by a scenario with a hypothetical tutoring system for elementary graphics programming.

Source: DSpace@MIT (Massachusetts Institute of Technology)

Authors: Ira Goldstein, Mark L. Miller

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W1604620751

FWCI: 0.553

Cites:

Cited by: 5

Related to: 10