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The effect of web-based portfolio use on academic achievement and retention
Cem Oktay Gu¨ zeller 서울대학교 교육연구소 2012 Asia Pacific Education Review Vol.13 No.3
The web-based portfolio emerged as a result of the influence of technological developments on educational practices. In this study, the effect of the web-based portfolio building process on academic achievement and retention is explored. For this purpose, a study platform known as a computer-assisted personal development portfolio was designed for 30 Turkish students who participated in a web-based portfolio process. The academic achievements of the students were examined through an experimental design in which participants were divided into an experimental group and a control group and given a pre-test and a post-test. The results of the study revealed that the levels of both academic achievement and retention in the experimental group were significantly higher than those in the control group. Similar practices can be applied to the teaching of medicine, economics, physical sciences, humanities and other subjects in order to extend students' performance and achievement levels.
Parameterized Extended Finite Element Method for high thermal gradients
Zeller, Christian,Surendran, Binu,Zaeh, Micheal F. Society for Computational Design and Engineering 2018 Journal of computational design and engineering Vol.5 No.3
The Finite Element Method results in inaccuracies for temperature changes at the boundary if the mesh is too coarse in comparison with the applied time step. Oscillations occur as the adjacent elements balance the excessive energy of the boundary element. An Extended Finite Element Method (XFEM) with extrinsic enrichment of the boundary element by a parameterized problem-specific ansatz function is presented. The method is able to represent high thermal gradients at the boundary with a coarse mesh as the enrichment function compensates for the excessive energy at the element affected by the temperature change. The parameterization covers the temporal change of the gradient and avoids the enrichment by further ansatz functions. The introduced parameterization variable is handed over to the system of equations as an additional degree of freedom. Analytical integration is used for the evaluation of the integrals in the weak formulation as the ansatz function depends non-linearly on the parameterization variable.
Parameterized Extended Finite Element Method for high thermal gradients
Christian Zeller,Binu Surendran,Micheal F. Zaeh 한국CDE학회 2018 Journal of computational design and engineering Vol.5 No.3
The Finite Element Method results in inaccuracies for temperature changes at the boundary if the mesh is too coarse in comparison with the applied time step. Oscillations occur as the adjacent elements balance the excessive energy of the boundary element. An Extended Finite Element Method (XFEM) with extrinsic enrichment of the boundary element by a parameterized problem-specific ansatz function is presented. The method is able to represent high thermal gradients at the boundary with a coarse mesh as the enrich-ment function compensates for the excessive energy at the element affected by the temperature change. The parameterization covers the temporal change of the gradient and avoids the enrichment by further ansatz functions. The introduced parameterization variable is handed over to the system of equations as an additional degree of freedom. Analytical integration is used for the evaluation of the integrals in the weak formulation as the ansatz function depends non-linearly on the parameterization variable.
Xiaojiang Gao-Zeller,Xiaodong Li,Fan Yang,Weina Zhu 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.5
Chinese construction companies, represented by huge Chinese construction corporations (HCCCs), have taken steps to develop their CSR (corporate social responsibility) strategy. To investigate the driving mechanisms of the CSR strategy of HCCCs, an analytical framework is proposed based on neo-institutional theory to explore how organizational legitimacy affects managerial perceptible institutional pressures and ultimately affects the development of CSR strategy. Specific scales were developed for HCCCs, and a questionnaire survey was conducted. Structural equation modelling was adopted to verify the paths proposed by the theoretical model. The results show that the expectations of the public and subcontractors/suppliers do not constitute sources of HCCCs’ organizational legitimacy. Different stakeholders have different influences on different institutional pressures. Environmental organizations have the most prominent effects. Government can reduce concerns about the CSR performance of HCCCs in society, and clients have a significant influence on the formation of institutional pressure, but employees' demands still need to be taken seriously by management. Additionally, due to the lack of regulations and norms in China, the promotion of CSR strategies relies mainly on the spontaneous demands of HCCCs. The applicability of neo-institutional theory to construction corporations is verified. The identified driving mechanisms help to effectively promote business strategy for HCCCs.
The Effects of Personality on the Performance of Employee
Sevcan YILDIZ,Cem Oktay GÜ,ZELLER 한국문화관광학회 2011 문화관광연구 Vol.13 No.2
In this study, the effects of personality on the performance of employee have been examined. 282 people, working in the 5 star hotel managements in Alanya form the work group of the research. Cattel’s 16 PF (16 Personality Factors) Personality Inventory and performance rating scale improved by Güzeller, Yıldız and Üngüren (2009) has been used. Personality sub-dimensions have been accepted as independent variables and performance rating scale sub-dimensions have been accepted as dependent variables and canonical correlations between the dependent and independent variables have been calculated. According to the obtained canonical correlations, only one canonical correlation has been found important between the independent variable and dependent variable. The increase in the personality test scores explains the performance scores in a limited level. It can be said that the increase of sa,sh, sl, sq1, sl in the set of personality variables caused the increase of the points of messor in the sub-set of the test variables.
Dongsun Kim,Xinming Wang,Sunghun Kim,Zeller, A,Cheung, S C,Sooyong Park IEEE 2011 IEEE transactions on software engineering Vol.37 No.3
<P>Many popular software systems automatically report failures back to the vendors, allowing developers to focus on the most pressing problems. However, it takes a certain period of time to assess which failures occur most frequently. In an empirical investigation of the Firefox and Thunderbird crash report databases, we found that only 10 to 20 crashes account for the large majority of crash reports; predicting these “top crashes” thus could dramatically increase software quality. By training a machine learner on the features of top crashes of past releases, we can effectively predict the top crashes well before a new release. This allows for quick resolution of the most important crashes, leading to improved user experience and better allocation of maintenance efforts.</P>
Where Should We Fix This Bug? A Two-Phase Recommendation Model
Dongsun Kim,Yida Tao,Sunghun Kim,Zeller, Andreas IEEE 2013 IEEE transactions on software engineering Vol.39 No.11
<P>To support developers in debugging and locating bugs, we propose a two-phase prediction model that uses bug reports' contents to suggest the files likely to be fixed. In the first phase, our model checks whether the given bug report contains sufficient information for prediction. If so, the model proceeds to predict files to be fixed, based on the content of the bug report. In other words, our two-phase model 'speaks up' only if it is confident of making a suggestion for the given bug report; otherwise, it remains silent. In the evaluation on the Mozilla 'Firefox' and 'Core' packages, the two-phase model was able to make predictions for almost half of all bug reports; on average, 70 percent of these predictions pointed to the correct files. In addition, we compared the two-phase model with three other prediction models: the Usual Suspects, the one-phase model, and BugScout. The two-phase model manifests the best prediction performance.</P>