Adaptive Learning

   
The Next Generation of E-Learning is Adaptive Learning

Next-generation products depict the supportive learning role that technology can rightfully play in correcting learning problems that have continually perplexed training markets in the past. Adaptive learning is important because it enables learners to select their modular components to customize their learner-centric learning environments. Secondly, it enables them to offer flexible solutions that dynamically adapt content to fit individual real-time learning needs.

    As learners move online and instructors disappear from the educational landscape, adaptive learning (instructor in the box) is a more sophisticated solution for developing meaningful online relationships. Experience has always shown that the best way to improve learning is to respond to clearly identified needs and clearly articulated solutions. Inferential technology is the giant step in using technology to improve learning. If deployed within an open-market paradigm, intelligent e-learning systems will clearly have a positive impact on the accessibility, affordability, and quality challenges that now confront global education and training.

Adaptive Learning Websites Links:

Advanced Technology Program (ATP) at the National Institute of Standards and Technology: Adaptive Learning Systems

Courseware Conversion Factory: Re-Engineering Objects for Web-Based Instruction on Demand

Cisco Systems White Papers on Reusable Information Objects

Learning Technology Newsletter, Vol. 6, Issue 2, April 2004

Real Adaptive Intelligent Learning System (RAILS)

Adaptive Learning Environments

Grefenstette, J., De Jong, K., & Spears. Competition-Based Learning Navy Center for Applied Research in Artificial Intelligence, Information Technology Division


E-Learning Standards Organizations:

Alliance of Remote Instructional Authoring and Distribution Networks for Europe (ARIADNE)

Advanced Distributed Learning (ADL) Initiative (Shareable Courseware Object Reference Model)

Aviation Industry CBT Committee (AICC)

IEEE Learning Technology Standards Committee
IEEE-SA Standards Board approved the LOM P1484.12 standard. This is a "multi-part" standard with three (3) parts. Each part will be an IEEE standard, designated as follows:

P1484.12.1 Standard for Learning Object Metadata Data Model

P1484.12.2 Standard for ISO/IEC 11404 binding for Learning Object Metadata P1484.12.1 data model

P1484.12.3 Standard for XML binding for Learning Object Metadata P1484.12.1 data model
Instructional Management Systems Project (IMS)


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