This paper presents a survey about learning content designs and various adaptation levels, in order to adapt the learners' necessities in e-learning environment. Normally, learners have different learning styles, cognitive traits, learning goals and varying progress of their learning over period of time, which affects the learner's performance while providing the same bundle of course to all learners. Hence, there is a need to create adaptive e-learning environment to offer appropriate learning content to all individuals. In general, the adaptation can be done based on learners' characteristics. Here, we explore the adaptation that can be done, not only based on learner context parameters but also on the learning content (learning object) and the configuration of e-learning environment. In this paper, we provide a detail review about the various levels of adaptation, learning object design and process for learning content design, learner context parameters, and models/components of e-learning; moreover, we analyze and portray the associations among the components, necessary to achieve the well-defined adaptation in e-learning environment.
An enormous amount of learning material is needed for the e-learning content management system to be effective. This has led to the difficulty of locating suitable learning materials for a particular learning topic, creating the need for automatic exploration of good content within the learning context. In this paper, we aim to tackle this need by proposing a novel approach to find out good materials from www for eLearning content management system. This work presents domain ontology concepts based query method for searching documents from web and proposes concept and term based ranking system for obtaining the ranked seed documents which is then used by a concept-focused crawling system. The set of crawled documents so obtained would be obtained an appropriate set of content material for building an e-learning content management system.
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