Open AccessThe open corpus challenge in eLearning
Author(s) -
Mahantesh K. Pattanshetti,
Sanjay Jasola,
Vivek Gupta,
Akshay Rajput
Publication year - 2018
Publication title -
knowledge management and e-learning: an international journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.526
H-Index - 21
eISSN - 2309-5008
pISSN - 2073-7904
DOI - 10.34105/j.kmel.2018.10.004
Subject(s) - open educational resources , adaptive hypermedia , relevance (law) , computer science , hypermedia , world wide web , open learning , the internet , personalized learning , multimedia , educational technology , digital learning , synchronous learning , adaptive learning , teaching method , cooperative learning , mathematics education , psychology , political science , law
Learning has transcended into a life-long endeavor in the information age. It is no longer restricted to confines of formal classrooms. Consequently, a student is not restricted to traditional learning resources like teachers, textbooks or printed content. Digital resources available on the Internet form a very significant component of self-learning. Copious volumes of learning resources without legal barriers to self-learning reside in digital repositories, educational institution portals and on numerous websites. Learners wishing to utilize the web for personalized learning are faced with a daunting array of content to wade through and select the suitable ones to fulfill his/her learning objectives. Therefore, it is not a question of availability; it is one of relevance and suitability. Typically, in addition to time constraints, learners lack the expertise to screen content for effective eLearning. Adaptive hypermedia systems (AHSs) offer a path to harnessing this large volume of learning resources for personalized learning. This review paper provides a concise and coherent discussion about the evolution of AHSs along with the challenges that need to be addressed for effectively harnessing openly available educational resources referred to as open corpus resources (OCRs).