Academic adaptation: the experience of Malay Muslim postgraduate students

This qualitative study aimed to explore the academic experiences and coping strategies among Malay Muslim postgraduate students in Australia. The research participants were thirteen Malaysian Malay Muslim postgraduate students (9 females, 4 males) studying in a university in South Australia. They were either undergoing their Master or PhD degrees. The findings show that as international students, the Malaysian Malay Muslim postgraduate students had difficulties adjusting themselves to their new learning culture. In order to cope with the situation, they became active learners in academic areas, made changes and sought assistance in their daily lives through their spouse, other Malaysian friends or university colleagues. Maintaining faith was also frequently mentioned as one of their coping strategies

Flipped-Small Private Tuition Online Course in Learning English for Rural Students

There is still a lack of studies to implement a Small Private Online Course for learning communities. This study aimed to identify the teaching and learning (T&L) process carried out when using an English Flipped-Small Private Tuition Online Course (EESPtoc) based on Gagne's theory. Using purposive sampling, respondents were selected among rural primary school students. The respondents were introduced to the EESPtoc, which is a free tuition online platform for 4 sessions. A questionnaire and interview were used to collect data. SPSS software was used for data analysis in the form of descriptive statistics. Findings show that students have positive responses toward the use of EESPtoc and the interview had also supported the finding of the survey. To enhance this study, further research is recommended to look into the long-term effects of exploring retention of knowledge and skills from the use of the EESPtoc in the T&L process

Exploring Students' Learning Styles in Using Mobile Flipped Classroom

This study aims to identify students’ learning styles of using mobile flipped classroom approach. The theoretical foundation for this study is based on Grasha-Reichmann learning styles and the flipped design of this study is based on Halili flipped learning 4.0 framework. 52 respondents answered the questionnaire distributed to them. The SPSS software version 20 was utilised to analyse the data and collected data were analyzed using descriptive statistics (means, standard deviations). This study showed that collaborative learning style recorder higher mean value as compared to others learning styles such as independent, dependent, competitive, avoidant and participative. It was found that the mobile flipped classroom approach in this research is capable of promoting collaborative learning in teaching and learning process. Researchers suggest that further studies should explore other learning style theories, use varieties of technological tools as well as include a larger sample from different institutions

Domain-based distributes mediation system for large-scale data integration

The increasing use of computers and the development of communication infrastructures resulted in abundance of information on the networks and extremely need for querying and integrating data from large number of data sources, especially for scientific applications. Distributed mediation system performs this task fragmentally, where each mediator in the system architecture responsible for querying subset of data sources.To make such type of systems success in large scale, we must deal with two issues: logical distribution of the data sources and mediators in the system architecture, and logical interaction between the mediators.To handle these issues, this paper proposes a domain based distributed mediation system called Multi-Mediators System for Large scale Data Integration (MMSLDI).MMSLDI enables the reducing of the general query response time by eliminating unnecessary visits to the data sources that do not contribute to the answer of the query.Moreover, it satisfies the requirements of adaptation to various kinds of domains, decentralized control, and automation of its processes

Generating nested XML documents from unnormalized relational views using a statistically approach

Converting relational database into XML is increasing daily for publishing and exchanging the business applications data on the Web. Most of the current approaches and products convert the unnormalized relational views to XML documents using flat-based that causes data redundancy which leads to generate a massive data. This paper proposes an approach to generate nested XML documents with full automatic from flat relational views. The proposed approach includes two steps: the first is extracting the nested view from the flat relational view using a statistically approach for counting and removing the data redundancy. The statistically approach is based on the analysis of functional dependency taking into account the frequency of the data values for the columns of the relational views. The second step is converting the nested view into nested XML. The columns of the nested view are also divided into groups to achieve the nesting for XML document. The proposed approach generates nested XML documents from the unnormalized relational views with full automatic. The generated nested XML document by the proposed approach has good features such as minimal redundancy and less size of storage

Generating free redundancy XML documents from non normalized relational views using a statistically approach

Converting relational database into XML is increasing daily for publishing and exchanging the business applications data on the Web. Most of the current approaches and products convert the non normalized relational views to XML documents using flat-based that causes data redundancy which leads to generate a massive data. This paper proposes an approach to reduce the redundancy for the XML documents that are generated from non normalized relational views. The proposed approach includes two steps: the first is extracting the nested view from the flat relational view using a statistically approach for counting and removing the data redundancy. The statistically approach is based on the analysis of functional dependency taking into account the frequency of the data values for the columns of the relational views. The document based on the blocks that are created according to frequency of the data values for the first column which has the most frequent of the data values

Entrepreneurship Empowerment Strategy in Islamic Boarding Schools: Lesson from Indonesia

Compared to formal educational institutions, Islamic boarding schools have their uniqueness and many advantages. Today's Islamic boarding schools provide learning about religious knowledge and entrepreneurship to equip and provide independence when returning to the community. This study aims to analyze the types of entrepreneurial empowerment of students and analyze the strategies of the Nurul Ulum Islamic Boarding School in Kemuningsari Lor Village, Panti District, Jember Regency in empowering santri entrepreneurship. The research method used is descriptive qualitative. While the data collection techniques used were observation, interviews, and documentation. The study results show that the types of entrepreneurial empowerment activities that are managed and developed by the pesantren are adapted to the conditions of the pesantren environment, infrastructure, and capabilities possessed by the pesantren. First, the generated businesses result from waste management (making cellphone bags, handkerchiefs, school bags, and brooches). Second, dress code (sewing) in clothes, headscarves, coats, and pants. Then, the entrepreneurial strategies implemented at the Nurul Ulum Islamic Boarding School include cost leadership, differentiation strategies, and focus strategies. This research contributes in-depth knowledge that Islamic boarding schools play an essential role in entrepreneurship in providing new jobs and poverty alleviation and contributing to the country's economic development

Simulation of Diagonal Data Replication in Mesh

In a large dynamic network, data can be copied anywhere to make it fault tolerant and easy accessed but there must be an efficient protocol to manage the replicas and make sure the data is consistent and high in availability with a low communication cost.In this paper, we introduced a new protocol, named Diagonal Replication in Mesh (DRM) for data replica control protocol for a large dynamic network by using quorum and voting techniques to improve the availability and the communication cost because quorum techniques reduce the number of copies involved in reading or writing data.The protocol of DRM replicates data for large dynamic network by putting the protocol in a logical mesh structure and access consistent data by ensuring the quorum not to have a nonempty intersection quorum.To evaluate our protocol, we developed a simulation model in Java.Our results proved that DRM improves the performance of the response time compare to Three Dimensional Grid structure Protocol (TDGS)

A simulation study of data discovery mechanism for scientific data grid environment

Research in the area of grid computing has given us various ideas and solutions to address the requirements in a modern scientific computing community that managed massive amounts of a very large data collections in a geographically distributed environment. Data Grids mostly deal with large computational problems and provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. A number of research groups are working on the data distribution problems in Data Grids and they are investigating the data replication approaches on the data distribution. This leads to a new problem in discovery and access to data in Data Grid environment. To address this problem we have developed a model to study various discovery mechanisms and investigate these mechanisms for Dynamic Scientific Data Grid Environments using our Grid Simulator. In this paper, we illustrate our model and our Grid Simulator