In this research, which is part of my PhD research into the influence of the use of social media in higher education, I have lessened the amount of variables, from Tinto’s integration theory. By including only the best-proven predictive variables, based on previous studies, I avoid the capitalization of chance and have built a more easy to use model for teachers and management. The latent variable ‘satisfaction’ is constructed by using just a fraction of the original manifest variables. The simplified model is tested using principal component analysis (PCA), to prove its fit. Furthermore, to better suit students’ contemporary society in the developed world, the model is enriched with the use of social media, in this case Facebook. The purpose of Facebook use (information, education, social and leisure) and the use of different pages amongst students were also measured with PCA. This provided a better insight in the integration/engagement components, which are also included in the new model. According by the measurements of Cronbach’s alpha and Guttman’s lambda-2, the new components showed internal consistency and reliability. In addition, SPSS AMOS was used for testing the fit of the model and showed reasonable values for the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). This study will compare different background variables within the model to uncover the possible influences upon students’ attrition (and therefor also their success), engagement/satisfaction and social media use. Ultimately this paper will provide jet another piece to the puzzle for a better insight into the factors of students’ attrition and/or success.
In this research, which is part of my PhD research into the influence of the use of social media in higher education, I have lessened the amount of variables, from Tinto’s integration theory. By including only the best-proven predictive variables, based on previous studies, I avoid the capitalization of chance and have built a more easy to use model for teachers and management. The latent variable ‘satisfaction’ is constructed by using just a fraction of the original manifest variables. The simplified model is tested using principal component analysis (PCA), to prove its fit. Furthermore, to better suit students’ contemporary society in the developed world, the model is enriched with the use of social media, in this case Facebook. The purpose of Facebook use (information, education, social and leisure) and the use of different pages amongst students were also measured with PCA. This provided a better insight in the integration/engagement components, which are also included in the new model. According by the measurements of Cronbach’s alpha and Guttman’s lambda-2, the new components showed internal consistency and reliability. In addition, SPSS AMOS was used for testing the fit of the model and showed reasonable values for the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). This study will compare different background variables within the model to uncover the possible influences upon students’ attrition (and therefor also their success), engagement/satisfaction and social media use. Ultimately this paper will provide jet another piece to the puzzle for a better insight into the factors of students’ attrition and/or success.
In order to guarantee structural integrity of marine structures in an effective way, operators of these structures seek an affordable, simple and robust system for monitoring detected cracks. Such systems are not yet available and the authors took a challenge to research a possibility of developing such a system. The paper describes the initial research steps made. In the first place, this includes reviewing conventional and recent methods for sensing and monitoring fatigue cracks and discussing their applicability for marine structures. A special attention is given to the promising but still developing new sensing techniques. In the second place, wireless network systems are reviewed because they form an attractive component of the desired system. The authors conclude that it is feasible to develop the monitoring system for detected cracks in marine structures and elaborate on implications of availability of such a system on risk based inspections and structural health monitoring systems
In recent years, frequent earthquakes have been reported in the Groningen region due to gas extraction. The building stock of the region mainly consists of brick masonry structures which were built without any seismic design taken into consideration. Therefore, these structures are extremely vulnerable to the loads coming from the earthquakes hitting the Groningen area on a regular basis. Numerous damage claims for damages on structures arise after every earthquake. In order to protect and reassure the structural integrity of the numerous brick masonry structures (more than 14.000 lay in the seismic zone), innovative solutions need to be developed. One of the approaches is to strengthen these houses extensively, up to a level that earthquake forces do not affect the original structure. This approach results in heavy and most of the times ugly strengthening solutions. A promising technology seems to be the installation of a vibration isolating concrete at the foundation level in order to decrease the vibration demands to the structures during the earthquake events. This latter method has been developed by the partner of this project, Nederboom, and will be investigated further for its advantages over the conventional techniques in terms of efficacy, applicability and cost. The aim of the proposed project is to carry out an experimental campaign to provide the essential experimental background to introduce and validate the effectiveness of this technology when repeated earthquake loads are applied several times on a brick masonry structural component. The experiments will be performed at the testing facilities of BuildinG, partner of the project, and will be supervised by members of the Earthquake Research Group of Hanze University of Applied Sciences.
In recent years, frequent earthquakes have been reported in the Groningen region due to gas extraction. The building stock of the region mainly consists of brick masonry structures which were built without any seismic design taken into consideration. Therefore, these structures are extremely vulnerable to the loads coming from the earthquakes hitting the Groningen area on a regular basis. Numerous damage claims for damages on structures arise after every earthquake. In order to protect and reassure the structural integrity of the numerous brick masonry structures (more than 14.000 lay in the seismic zone), innovative solutions need to be developed. One of the approaches is to strengthen these houses extensively, up to a level that earthquake forces do not affect the original structure. This approach results in heavy and most of the times ugly strengthening solutions. A promising technology seems to be the installation of a vibration isolating concrete at the foundation level in order to decrease the vibration demands to the structures during the earthquake events. This latter method has been developed by the partner of this project, Nederboom, and will be investigated further for its advantages over the conventional techniques in terms of efficacy, applicability and cost. The aim of the proposed project is to carry out an experimental campaign to provide the essential experimental background to introduce and validate the effectiveness of this technology when repeated earthquake loads are applied several times on a brick masonry structural component. The experiments will be performed at the testing facilities of BuildinG, partner of the project, and will be supervised by members of the Earthquake Research Group of Hanze University of Applied Sciences.
