Study On Several Key Technologies And Methods Of Adaptive Learning System

With the rapid development of information technology and social science, adaptive learning becomes the main trend of e-learning. During adaptive learning, learners obtain knowledge and ability through themselves’ knowledge experience and adaptive learning system. Adaptive learning thinks over the individual character sufficiently, so it can provide the individual learning strategy and learning content, promote learners’ knowledge self-constructing. Recently, researches about adaptive learning become profounder; tools and systems supported adaptive learning have appeared in succession. All of these can raise the adaptability and-validity of the system. But there are still some problems and difficulties during the research process. The main items are as follows.1) Lacking the method and model about describing of adaptive learning’s strategy formally. Learners can easily get lost in learning without learning strategy.2) The learner’s character model should be more precise and effectual. The diversity and changeability of learners’individual character items determine the difficulty of constructing learners’character model.3) The intelligence of learning content obtaining should be raised. The learning effect lies on whether the learning content obtained suits the learners’characters and learning requirement or not.This paper researches the relative problems above profoundly. The main contents are: the formal description about adaptive learning design; constructing learners’knowledge profiling model under the direction of constructivism; learning resource’s semantic describing and adaptability recommending based on ontology; structure and function of adaptive learning system.There are five innovative points in this research work.1) Using IMS-LD to describe the adaptive learning strategy formularly, and bringing in knowledge components to extend and improve the IMS-LD, so that make the information expressed by learning design more complete and intuitionistic, and direct learners to avoid getting lost during learning because that the learning target is not clear, then make the base for deducing the learners’ learning needs more correctly. 2) Making deeper research on the cognitive status in the learning character items, putting forwards the learners’knowledge profiling model and computing methods of knowledge learning status, all of these can improve the precision of describing learners’ characters.3) Designing and realizing the extracting path algorithm during learners knowledge profiling; Summing up the types of knowledge transfer trends; Designing and realizing the algorithm about deducing learners’ needs through analyzing knowledge transfer trends, so that can improve the capability of obtaining learners’learning needs.4) Designing and realizing the algorithm of learning content recommending based on semantic comparability, combining with the semantic description about learning resource, so that can increase the validity of learning content recommending.5) Apply learning design and ontology to the adaptive learning system; bringing forwards the adaptive learning system model and process mechanism on the basis of learning design and ontology.