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.

Media Design and Orientation in Perpendicular Media

Abstract: The variation of coercivity as a function of angle has been used to characterise the distribution of easy axis orientation in various media structures This technique removes the effect of the demagnetising field (HD) due to the zero value of the magnetisation (M) at the coercivity The orientation distribution has been investigated via comparison with the Stoner-Wohlfarth model We find that exchange coupled composite (ECC) media, which have the grains almost completely segregated, fit the simulation with a standard deviation of the orientation distribution of 5° The calculation does not fit the experimental results for granular and continuous granular composite (CGC) media due to exchange coupling between the grains In-plane and cross-section transmission electron microscopy (TEM) analysis have been carried out to investigate the effect of silica segregation of the grains on the exchange coupling

Interactive retexturing from unordered images

Abstract: The texture quality of 3D models, generated from either multi-view color images or color-depth images, mainly depends on the resolution of the images and the lighting condition used in the 3D reconstruction stage. It is often required to increase the texture quality or remove the unwanted artifacts such as seams or shadings without reinitiating the entire process. We propose an interactive method to seamlessly replace the low quality texture map of 3D models using unordered high resolution images taken later with different cameras. The camera pose of each new image is estimated using the nearest key-frame image with two-frame bundle adjustment. The new images with the estimated pose are then individually mapped onto the texture map. Finally the user-preferred regions in the specific images are seamlessly aligned with other texture patches in the combinatorial optimization framework. As demonstrated in the results, our approach significantly improves visual quality of textured 3D models while preserving the geometric details.

When does goal discrepancy induce compensatory effort? An application of self‐completion theory to social issues

Abstract: The authors review research that applies self-completion theory to goals targeting other people (as in the case of stereotyping and prejudice), goals that aim at the achievement of a certain social identity and goals based on the social identity. It is demonstrated that goal discrepancies lead to compensation for social as well as for non-social goals. Based on self-completion theory it is proposed that the identity-relevance of the respective goal as well as the goal relevance of the subsequent task are of major importance considering the individuals’ compensation. The authors argue that the consideration of these factors advance our understanding of social phenomena. The current research review is about one’s reaction to a goal discrepancy – a psychological state whereby one’s desired level of progress toward a goal is discrepant from, or not aligned with, one’s actual standing in the goal pursuit. This review discusses the commonalities among various studies of outcomes resulting from goal discrepancy and addresses the question regarding under which circumstances goal discrepancies will lead to compensation (responses meant to counteract the discrepancy and facilitate goal attainment and the alleviation of the discrepancy). For this purpose, a brief summary of research on the consequences of goal discrepancies is given. Afterward, a theory will be discussed that makes clear assumptions about the circumstances that bring about compensation in face of goal discrepancies: Self-completion theory (Wicklund & Gollwitzer, 1982). Self-completion theory has mostly been applied to individual goals, such as achievement goals. We will argue that self-completion theory can and should also be applied to compensation regarding goals involving social issues. We address in detail the reactions to discrepancies regarding goals targeting other people (as in the case of stereotyping and prejudice), goals that aim at the achievement of a certain social identity and finally goals based on the social identity.

Understanding learning: the Wiki way

Abstract: Learning "the wiki way", learning through wikis is a form of self-regulated learning that is independent of formal learning settings and takes place in a community of knowledge. Such a community may work jointly on a digital artifact to create new, innovative and emergent knowledge. We regard wikis as a prototype of tools for community-based learning, and point out five relevant features. We will present the co-evolution model, as introduced by Cress and Kimmerle [3][4], that may be understood as a framework to describe learning in the wiki way. This model describes collaborative knowledge building as a co-evolution between cognitive and social systems. To investigate learning the wiki way, we have to consider both individual processes and processes within the wiki, which represent the processes that are going on within a community.This paper presents three empirical studies that investigate learning the wiki way in a laboratory setting. We take a look at participants' contributions to a wiki indicating processes within the wiki community, and measure the extent of individual learning at the end of the experiment. Our conclusion is that the model of co-evolution has a strong impact on understanding learning the wiki way, may be helpful to designers of learning environments, and serve as framework for further research.