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ERIC Number: EJ1096836
Record Type: Journal
Publication Date: 2016-Jun
Pages: 15
Abstractor: As Provided
ISSN: ISSN-1560-4292
ITS, The End of the World as We Know It: Transitioning AIED into a Service-Oriented Ecosystem
Nye, Benjamin D.
International Journal of Artificial Intelligence in Education, v26 n2 p756-770 Jun 2016
Advanced learning technologies are reaching a new phase of their evolution where they are finally entering mainstream educational contexts, with persistent user bases. However, as AIED scales, it will need to follow recent trends in service-oriented and ubiquitous computing: breaking AIED platforms into distinct services that can be composed for different platforms (web, mobile, etc.) and distributed across multiple systems. This will represent a move from learning platforms to an ecosystem of interacting learning tools. Such tools will enable new opportunities for both user-adaptation and experimentation. Traditional macro-adaptation (problem selection) and step-based adaptation (hints and feedback) will be extended by meta-adaptation (adaptive system selection) and micro-adaptation (event-level optimization). The existence of persistent and widely-used systems will also support new paradigms for experimentation in education, allowing researchers to understand interactions and boundary conditions for learning principles. New central research questions for the field will also need to be answered due to these changes in the AIED landscape.
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Naval Research (ONR); US Army Research Laboratory (ARL); Advanced Distributed Learning (ADL)
Authoring Institution: N/A
Grant or Contract Numbers: N0001412C0643; W911NF04D0005; W911NF14D0005; W911NF1220030; W911QY14C0019