Title :
Taxonomy of E-Learning Challenges and an Insight to Blended Learning
Author :
Shailaja, J. ; Sridaran, R.
Author_Institution :
Fac. of Comput. Studies, National Acad. for Learning, Bangalore, India
Abstract :
The application of information technology in education has the undoubted potential to upsurge the quality of teaching and dexterity in learning. E-learning is rapidly growing from solely training to guarantee its role in the overall learning strategy. It is inclusive of a maximum number of participants with a range of preferences, and needs. Owing to e-learning´s brisk development, it is worthy to confer how to improve the performance and expand the application of on-line learning by endowing a systematic classification. The taxonomy provided in the paper can help researchers and developers to meet permissible and regulatory requirements for retrieving specific information within a set timeframe, and for easier study. This paper also lists the potential challenges under each category and as a solution to most common ones, blended learning techniques are proposed.
Keywords :
computer aided instruction; information retrieval; pattern classification; teaching; blended learning techniques; dexterity; e-learning brisk development; e-learning challenges; information retrieval; information technology; learning strategy; online learning; systematic classification; teaching; training; Computers; Electronic learning; Internet; Materials; Real-time systems; Software; E-learning; blended learning; learning styles; personalized learning;
Conference_Titel :
Intelligent Computing Applications (ICICA), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICICA.2014.70