Instructional design for learning path identification in an e-learning environment using felder-silverman learning styles model

2017 ◽  
Author(s):  
Lumy Joseph ◽  
Sajimon Abraham
Keyword(s):  
Instructional Design ◽  
Learning Environment ◽  
Learning Styles ◽  
Learning Path ◽  
Design For Learning ◽  
E Learning

The Cultural Adaptation of E-Learning

2011 ◽  
pp. 308-325 ◽  
Author(s):  
Andrea L. Edmundson
Keyword(s):  
Instructional Design ◽  
Learning Styles ◽  
Learning Outcomes ◽  
Cultural Analysis ◽  
Instructional Designer ◽  
Course Content ◽  
Instructional Methodologies ◽  
Cultural Preferences ◽  
E Learning ◽  
Design Skills

Culturally appropriate instructional design requires the integration of instructional design skills with intercultural knowledge. In e-learning, as in classroom-based courses, courses that accommodate the learning styles and cultural preferences of the targeted learners will offer the best—and fastest—learning outcomes. In this chapter, the author illustrates how to modify an existing e-learning course—or design one ‘from scratch’—that aligns the course content, the instructional methodologies (including activities and assessments) and the technology to the needs and environment of learners in other countries. The ‘smart’ instructional designer conducts a cultural analysis and makes validated changes to e-learning courses, before they are sent for translation, localization, or final production.

Theories and Principles for E-Learning Practices with Instructional Design

2009 ◽  
pp. 750-758
Author(s):  
Maria Ranieri
Keyword(s):  
Instructional Design ◽  
Learning Environment ◽  
Learning Experiences ◽  
Instructional Approach ◽  
Face To Face ◽  
Learning Practices ◽  
E Learning

E-learning has become an area of increasing interest for academics, consultants, and practitioners. Notwithstanding, it seems that in current experiences the instructional dimension is often overlooked. Many elearning courses are content-oriented and the attention is often put on the technological dimension. We believe that a fruitful contribution in order to overcome the gap between technology and pedagogy and promote a more sensible instructional approach to e-learning, can be derived from instructional design (ID). ID is an ever growing field of research (Dijkstra, Seel, Schott, & Tennyson, 1997; Gagné & Briggs, 1990; Merrill, 2001; Reigeluth, 1989; Savery & Duffy, 1995; Wilson & Cole, 1991). Its results have a transversal value with respects to the specific delivery supports adopted in the learning environment. Whether we are dealing with online or face-to-face education, useful criteria from ID can be outlined for designing effective, efficient, and appealing learning experiences.

Learning Styles and Adaptive ICT-Based Learning Environment

2008 ◽  
pp. 413-429 ◽  
Author(s):  
Zlatko J. Kovacic
Keyword(s):  
Learning Environment ◽  
Learning Styles ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Economies Of Scale ◽  
Adaptive Hypermedia ◽  
Technological Infrastructure ◽  
Hypermedia Learning ◽  
Learning Path ◽  
Determining Factor

This chapter has two aims. First, to provide an overview of learning styles research and secondly, to provide an overview of research in adaptive hypermedia learning environment systems, those where different learning styles are considered and used to create a personalized learning environment. For most distance education institutions individualization of the learning environment for each student is not an option because economies of scale are the determining factor of cost reduction. However, the latest advances in database management, artificial intelligent systems and intelligent agents provide a technological infrastructure for individualizing the learning path for every learner at a lower cost. This chapter focuses on learning styles and how we can integrate and use them as a source of adaptation in an adaptive hypermedia learning environment systems.

Learning Styles and Adaptive ICT-Based Learning Environment

2011 ◽  
pp. 136-152
Author(s):  
Zlatko J. Kovacic
Keyword(s):  
Learning Environment ◽  
Learning Styles ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Economies Of Scale ◽  
Adaptive Hypermedia ◽  
Technological Infrastructure ◽  
Hypermedia Learning ◽  
Learning Path ◽  
Determining Factor

This chapter has two aims. First, to provide an overview of learning styles research and secondly, to provide an overview of research in adaptive hypermedia learning environment systems, those where different learning styles are considered and used to create a personalized learning environment. For most distance education institutions individualization of the learning environment for each student is not an option because economies of scale are the determining factor of cost reduction. However, the latest advances in database management, artificial intelligent systems and intelligent agents provide a technological infrastructure for individualizing the learning path for every learner at a lower cost. This chapter focuses on learning styles and how we can integrate and use them as a source of adaptation in an adaptive hypermedia learning environment systems.

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