A connectionist approach for adaptive lesson

A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment

The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is developed and a formulation of the planning strategy retrieval in the context of the network dynamics is proposed to select the content of the lesson in a goal-oriented way of 'teaching'. The educational material of the co...

Adaptive Instructional Planning Using Neural Networks in Intelligent Learning Systems

This paper investigates the use of computational intelligence for adaptive lesson sequencing in a distance-learning environment. A connectionist method for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called AppSys. The proposed methodology based on the use of ontologies and learning object metadata. The generated didactic plan is adapted to the...

The Effectiveness of the Implementation of the Feedback Process after the Biochemistry Lesson with an Evaluation Approach for Learning

Evolving Connectionist Systems Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control

The paper contains a discussion material and preliminary experimental results on a new approach to building on-line, adaptive decision making and control systems. This approach is called evolving connectionist systems (ECOS). ECOS evolve through incremental, on-line learning. They can accommodate any new input data, including new features, new classes, etc. New connections and new neurons are c...

Integrated Gene Expression Analysis of Multiple Microarray Data Sets Based on a Normalization Technique and on Adaptive Connectionist Model

Research with microarray gene expression analysis has primarily been on expression profiling based on one set of microarray data. This paper presents a novel approach to integrated analysis and modeling of microarray data from multiple sources. Normalization method is applied to different data sets before they are used together in an adaptive connectionist classification system. The method is d...