Designing Adaptive Learning Environments with Learning Design

2006 ◽  
pp. 215-226 ◽  
Author(s):  
Brendon Towle ◽  
Michael Halm
1984 ◽  
Vol 50 (5) ◽  
pp. 391-398 ◽  
Author(s):  
Margaret C. Wang ◽  
Jack W. Birch

An educational approach is described that accommodates, in regular classes, a much wider range of individual student differences than usual. Reported results-from a study of program implementation and related outcomes suggest that the program, known as the Adaptive Learning Environments Model (ALEM), can be implemented effectively in a variety of settings and that favorable student outcome measures coincide with high degrees of program implementation.


2016 ◽  
pp. 714-733 ◽  
Author(s):  
Ahmed Ewais ◽  
Olga De Troyer

The use of 3D and Virtual Reality is gaining interest in the context of academic discussions on E-learning technologies. However, the use of 3D for learning environments also has drawbacks. One way to overcome these drawbacks is by having an adaptive learning environment, i.e., an environment that dynamically adapts to the learner and the activities that he performs in the environment. In this paper, the authors discuss adaptive 3D virtual leaning environments and explain how a course author can specify such an environment (i.e., authoring). The approach and tool that the authors present allow authors to create adaptive 3D virtual learning environments without the need to be an expert in 3D or using programming or scripting languages. The authors also conducted an evaluation to validate the approach and the usability and acceptability of the authoring tool. Based on the results, recommendations for authoring adaptive 3D virtual learning environments have been formulated.


Author(s):  
Angeliki Leonardou ◽  
Maria Rigou ◽  
John D. Garofalakis

Smart learning environments (SLEs), like all adaptive learning systems, are built around the learner model and use it to support a variety of interventions such as mastery learning, scaffolding, adaptive sequencing, and adaptive navigation support. Open learner models (OLMs) “expose” the learner data to users through easily perceivable visual representations aiming to improve student self-reflection and self-regulated learning and also increase user motivation and even foster collaboration. This chapter presents the evolution and current state of OLMs, summarizes related research in the field emphasizing on OLM types, locus of control between the system and the user and visualizations categorized on the basis of quantized/continuous and structured/unstructured representations. OLM cases implementing typical SLEs features are described, along with representative real-life scenarios of incorporating OLMs in SLEs. Moreover, the chapter provides guidelines for designing effective OLMs and discusses current research trends in this active scientific field.


Author(s):  
Phil Ice ◽  
Melissa Burgess

This chapter explores how emerging technologies may challenge the CoI framework to evolve and account for new types of learner and instructor interactions. An exploration of processes inherent within the three presences is contextualized against the architecture of learning management systems, with attention given to those elements that are most likely to be impacted moving forward. As examples, innovations in digital publishing, multi-screen, multi-user virtual environments, on-demand education, adaptive learning environments and analytics are discussed, with a focus on how advancements in these areas may require rethinking and realignment of some aspects of the CoI framework.


Sign in / Sign up

Export Citation Format

Share Document