Research On Design Model Of Adaptive Hypermedia Learning System

Adaptive Hypermedia Learning System (such as iWeaver, AHA! and InterBook),refers to an alternative to the traditional one-size-fits-all approach in the developmentof hypermedia systems through building a model of the goals, preferences andknowledge of each individual learner, and use this model throughout the interactionand adapt to the needs of that user. It can evaluate learners’ ability levels throughdomain knowledge base, user feature library as well as expert knowledge base,therefore implementing a system by computer based on features of the user and sendadaptive resources.Although most of the adaptive learning system can realize adaptive presentationin a certain extent especially knowledge related functions such as navigation, itsdesign concept is still mainly adopts a resource-oriented strategy type, therefore thecharacteristics depiction of users are not precise enough. In addition, considering thefact that most former models are belongs to types of cognitive model or learners’model, therefore essential parts such as domain model, knowledge and abilitymeasurement and trigger mechanism of adaptive circumstances are not complete.Based on Csikszentimihalyi’s flow model and Skinner’s program educationtheory, this study first analyses the current research background of learners’ mentalbehavior. Newly proposed concept knowledge entropy is applied to field ofknowledge measurement, and combining static measurement and dynamicmeasurement method to quantify the level of learning skill. Analyzes knowledgedependence, and explores the classification and evolution of knowledge difficulty andgranularity. Summarizes the classification change of knowledge difficulty andknowledge granularity, and adopts domain experts set threshold or experimentalstatistical estimation threshold, and other test method to control the trigger mechanismof adaptive circumstances; proposes the design model of adaptive hypermedia learning system to express related adjustments of knowledge difficulty andgranularity.The paper is structured along five dimensions according to the structure andmain content:The First chapter is an overview of the full paper, from perspectives of overallresearch topic, explains research background, adaptive hypermedia learning systemand other related basic concepts; By combining Csikszentimihalyi’s flow model andSkinner’s program education theory, the second chapter is a series of analysis basedon the influence of related theoretical model and knowledge granularity adjustment. Italso provide theoretical basis to domain knowledge and skill measurement of chapterthree; The third chapter focuses on domain knowledge and learning skill measurement.Knowledge entropy, the newly proposed concept, is applied to field of knowledgemeasurement, meanwhile, combining static measurement and dynamic measurementmethod to quantify the level of learning skill. In addition, analysis knowledge andknowledge dependence, to explore the classification and evolution of knowledgedifficulty and granularity, and construct domain knowledge dependence graph; Thefourth chapter summarizes the classification change of knowledge difficulty andknowledge granularity, and adopts domain experts set threshold or experimentalstatistical estimation threshold, and other test method to control the trigger mechanismof adaptive circumstances; based on other reference model, proposes the design modelof adaptive hypermedia learning system to express related adjustments of knowledgedifficulty and granularity; The fifth chapter summarizes the achievements of thisresearch, reflects insufficient points, and determines the study direction of furtherresearch.