Presenting information to an e-learning environment is a challenge mostly because of the hypertext/hypermedia nature and the richness of the context and information provides. This paper proposes a dynamic semantic model for e-learning system based on the psycholinguistic theories of human memory Spreading Activation Network (SAN). This work employs a SAN as a technique to provide the interfaces action selection mechanism in an uncertain environment. The paper combines the SAN with the temporal logic to provide an e-learning system that a learning activity level evolves according to their expected contextual relevance. The system differs from the other e-learning by representing dynamic associations between learning activities and the relevance subjects. This system equipped with an Event-Triggered learning interface (context) adaptation component. This component provides multiple parallel processes for perception. These processes provide context screen selection and learning task operation based upon the user current situation. The SAN attempts to achieve a number of goals in an unpredictable complex dynamic environment. Spreading activation explains the predictive top-down effect of knowledge. It supports general heuristics which may be used as the first step of more elaborated methods. This model is suited to deal with the interaction between semantic and episodic memories as well as many other practical issues regarding e-learning including the retroactive effect of semantics over perception. The system uses the SAN to activate the most suitable interface screen (context) in response to the current conditions (learning activities) while the system continues working towards the learning objective goal. The paper presents our efforts to realize such e-learning system. The proposed paradigm has been implemented to develop a prototypical system and the experiments also illustrate the robustness of such an e-learning framework.

This article aims to synthesize literatures in Educational Robotics and presents key features of systematic literature review and structured meta-analysis of the literature. Population consists of 247 papers from 10 databases ranging from 1996 to 2012. Results show that common problems in Educational Robotics are high cost of tools license and differences in students’ background knowledge. Trends of existing researches focus on development of software and low cost robot training package in order to promote students’ practice in problem-solving skills and teamwork in experience-based learning to enhance self-motivation and experience with real world applications. It was also found from the synthesis that qualitative-based evaluation of tool and learning achievement process was rare even though it is a key factor that indicates quality of learning process.