This thesis will discuss a knowledge-based model for the design and development of units of learning and teaching aids. The idea behind this work originates from previous theoretical work on Educational Concept Maps a logical and abstract annotation system derived from the theories of instructional design. Our work is motivated by the open issues in designing instructional authoring system and ...

This thesis will discuss a knowledge-based model for the design and development of units of learning and teaching aids. The idea behind this work originates from previous theoretical work on ECM Educational Concept Map (a logical and abstract annotation system, derived from the theories of instructional design), from the open issues in designing instructional authoring system, and from the lack...

Training pre-service teachers requires, among other things, content knowledge, pedagogical skills and pedagogical content knowledge. Teacher preparation programs have little, if any spare time to add more courses/activities to their program. However, I argue in this paper that we, as educators, must enhance the amount of physics education research in our pre-service physics teacher training pro...

The goal of the study in this chapter is to support learners to engage in the active learning of common fraction operations from the constructivists’ perspective. An Internet-based Fraction-learning Intelligent Learning Environment (IFILE) is designed under the knowledge-based approach to model the learning process of the target topic. It is intended to optimize the interaction opportunity of l...

This paper investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment. A method for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called KnowledgeClass. This method is based on specialized connectionist architecture. The domain model is represented in a connectionist-based system which pro...

In this article we describe an approach to the design of learning objects (LOs) suitable to support learning in complex domains. We briefly discuss, from an educational point of view, the methodological choices underlying the design of LOs to be used as didactical materials in a distributed Web-based environment, presently under development, devoted to robotics education at the university level...

Socio-Cultural Theory, based on Vygotskian thought, is a theory about the development of human cognitive and higher mental function. The theory specially emphasizes the integration of social, cultural and biological elements in learning processes and stresses the socio-cultural circumstances‘ central role in human‘s cognitive development. Second Language Acquisition is concerned with the proces...

We have proposed a novel application of Markov decision processes (MDPs), a reinforcement learning technique, to automatically generate hints using historical student data. Using this technique, we have modified a an existing, non-adaptive logic proof tutor called Deep Thought with a Hint Factory that provides hints on the next step a student might take. This paper presents the results of our p...

This work explores the effects of using automatically generated hints in Deep Thought, a propositional logic tutor. Generating hints automatically removes a large amount of development time for new tutors, and it also useful for already existing computer-aided instruction systems that lack intelligent feedback. We focus on a series of problems, after which, the control group is known to be 3.5 ...

The interactions of concepts and problem-solving techniques needed to solve open-ended proof problems are varied, making it difficult to select problems that improve individual student performance. We have developed a system of datadriven ordered problem selection for Deep Thought, a logic proof tutor. The problem selection system presents problem sets of expert-determined higher or lower diffi...