Media Research Center

About: Media Research Center is a based out in . It is known for research contribution in the topics: Collaborative learning & Educational technology. The organization has 491 authors who have published 950 publications receiving 28581 citations. The organization is also known as: MRC.

How does it Swim

Abstract: In biology education a crucial skill that needs to be acquired is classifying natural objects according to complex and dynamic visual information However, due to the absence of suitable instructional material these skills are trained with static pictures instead of dynamic visualizations A basis for developing such appropriate dynamic instructional material is the comprehension of the underlying processes of novices and experts Therefore, this study analyzes the cognitive processes underlying a classification task in different expertise levels This was done by comparing eye movements and verbal data of fourteen novices and seven experts obtained during their classification of fish locomotion patterns Results show that experts performed faster and more accurately compared to novices due to their use of knowledge-based shortcuts Implications of these findings for instructional design are discussed

Acquiring knowledge-in-use in virtual training environments: A theory driven design process

Abstract: In daily work routines of police officers, situations may occur that have not been trained previously because of high costs, because of the danger, time or effort involved. But some knowledge-in-use is required to respond adequately to these complex situations, thus virtual training seems to be the obvious choice. In order to develop a virtual training environment, we need an understanding of the underlying learning processes. This paper explicates a theory-driven design process of a virtual training environment and its application in a German state police department. We conceptualize how the acquisition of knowledge-in-use in virtual training environments takes place and focus on what is possible in virtual training.

Can text content influence the effectiveness of diagrams

Abstract: Verbal instructional explanations are often accompanied by diagrams to enhance learning. Recent working memory research suggests that a high degree of spatial information conveyed through the verbal explanations may impair the instructional effectiveness of the diagrams. It is explained by interference between the processing of the diagrams, the processing of text containing spatial information and the execution of eye movements, associated with diagram inspection. In the current paper two experiments are summarized which showed the expected performance impairment when presenting diagrams together with text containing spatial information. Implications of these results for the presentations of diagrams are discussed.

A Correlation Analysis of Indoor and Outdoor Air Quality using IoT sensors

Abstract: It is becoming increasingly necessary to improve people's daily living environments for their quality of life. Indoor air quality is also important, as most people spend a lot of time indoors. It is known that a significant proportion of indoor pollution is caused by outdoor pollution. However, the size of the outdoor influence may depend on the characteristics of indoor space. In this paper, we collected air and environmental data for 21 spaces and analyzed how much they relate to external environmental pollution. The result shows that the influence on the external environment varies greatly depending on the spaces.

Ontology Based Metadata Interoperable Aggregator for the Large Scaled Image Retrieval Supporting Multiple Schemas

Abstract: In this paper, we review the system framework for the interoperability with JPSearch image search and retrieval technonlogies. More specifically, we specifies the core skeleton of the lexical resource ontology which contains the semantic relations between metadata schemas, and also a mechanism to add / update /delete the information in the ontology for helping transformation between schemas and queries.