Information searching behavior in the Internet age: A users’ study of Aligarh Muslim University

This study reports the results of a survey conducted at Aligarh Muslim University (AMU) to determine the extent to which Internet users are aware and make use of the Internet resources and services. The study examines the information searching behavior of Internet users. A questionnaire and follow-up interviews with the postgraduate students, research scholars and academic staff were conducted to collect data. A total of 489 questionnaires were distributed to the selected sample of eight faculties; 405 valid samples were collected. The data were analyzed according to the background of Internet users, Internet information searching behavior, use of Internet resources and services, quality of Internet information, problems of the Internet access and need for Internet literacy. The study found that the majority of respondents had a 5 year history of Internet access. The academic staff spent more time on the Internet than the students and research scholars. Although Internet search engines were the preferred information searching tool, other methods such as databases, gateways and World Wide Web (WWW) were also used. Online journals and databases were the preferred information sources among the Internet users. Respondents chose e-mail, WWW and search engines as important Internet services. About 60% of respondents believed that the good quality of information on the Internet made it a useful tool for education and research. Slow speed, lack of training and information overload were indicated as some of the factors affecting Internet usage. Further, recommendations are made to improve the use of Internet, including a well-planned Internet literacy program and preparation of subject gateways.     

Observing complex systems thinking in the zone of proximal development

Our paper builds on the construct of the zone of proximal development (ZPD) (Vygotsky in Mind in society: the development of higher psychological processes, Harvard University Press, Cambridge, 1978) to analyze the relationship between students’ answers and the help they receive as they construct them. We report on a secondary analysis of classroom and interview data that was collected with 1st and 2nd grade students completing a short scaffolded inquiry project designed to help them learn about how honeybees collect nectar. We explore how the progression of questions reveal students’ understanding of complex systems by examining how students’ progression through the questions tended to become more sophisticated as we increased support. We further compare two complex-systems perspectives, Component-Mechanism-Phenomena and agent-based approaches, to see how each would categorize students’ explanations. Findings demonstrate the value of the ZPD as an analytic framework in exploring students’ systems understanding in terms of the nature of questions (e.g., sequencing, type of question) and multiple conceptual models (e.g., component-mechanisms-phenomenon, single agent or aggregate behaviors), and how this might impact students’ groupings according to their ability and subsequent instructional support.     

Effects of friendship and relationship dimensions of classroom environment on general and academic self-concept

Learning Environments Research - The purpose of present study was to examine the effect of friendship and relationship dimensions of the classroom environment on general and academic selfconcept....     

Examining antecedents of knowledge-sharing factors on research supervision: An empirical study

The use of an effective supervision mechanism is crucial between a student and supervisor. The essential knowledge shared and transferred between these two parties must be observed and understood very well in order to ensure that students are produced at good level of quality for future professional knowledge workers. The aim of this study was to conduct an assessment of the impact of individual, organisational and technical factors on knowledge sharing in a research supervision domain. In order to achieve this aim, a specific research model was developed. This model was based on systematically analysing and extracting all the knowledge-sharing impact factors and then choosing the more iterative and adaptable ones, according to research supervision models. These factors categorized to individual, organizational and technological factors. To effectively evaluate the research model, a quantitative research method was adopted. Data was collected by a survey of 150 students from the Faculty of Computing at Universiti Teknologi Malaysia. The Smart PLS tool was used for data analysis. In sum, the results of this research show that the individual factor in the research supervision domain – namely, the ability of students to share knowledge – in addition to technological factors – specifically, IT systems – have the greatest impact on knowledge sharing in the supervision process. In addition, it was shown that organisational factors including the culture of the university, social networks, and supervisor support have a positive impact on knowledge sharing in research supervision. However, when compared with individual and technical factors, the effect of organisational factors on knowledge sharing in research supervision was not particularly strong in the case of this study. A positive relationship did not exist between the learning strategy and knowledge sharing in research supervision. This study is among the first of its kind to empirically examine the antecedent factors of knowledge sharing in the context of research supervision.     

The impact of scaffolding and nonscaffolding strategies on the EFL learners' listening comprehension development

Drawing on sociocultural theory, and a large number of empirical studies conducted on the effectiveness of scaffolding on second or foreign language learning, the authors investigated the application of different forms of scaffolding to improve listening comprehension of the Iranian intermediate English as a foreign language (EFL) learners. To this end, 90 intermediate EFL learners were randomly assigned to 2 experimental groups and a control group. During 15 treatment sessions of listening comprehension instruction, expert peers in the first experimental group assisted their less knowledgeable peers in their listening comprehension tasks. The participants in the second experimental group were asked to assist their coequal peers while doing the listening comprehension tasks, but the participants in group 3 did not interact with each other or even their teacher and no scaffolding scheme was used when they were doing the listening comprehension tasks. One-way analysis of variance and post hoc analyses revealed that the expert peers' scaffolding was the most effective procedure for the intermediate EFL learners' listening comprehension development. Furthermore, coequal peers' scaffolding was proved to be the second effective procedure for the listening comprehension improvement. The findings underscore the relative efficacy of different forms of scaffolding procedure and the superiority of the expert peers' scaffolding over coequals' scaffolding. The qualitative analysis of the recorded data indicated that the implicit scaffolding strategies were more frequently used by the expert peers. However, the explicit scaffolding strategies were more frequently used to by the coequals. The findings of the study underscore the positive potentiality of scaffolding in its different forms for the EFL learners' listening comprehension development.     

Counselling the Micronesian client

The Micronesian client comes from a strategically important Western Pacific area that bears its own unique culture. To serve the Micronesian client more than adequately, the therapist needs an awareness and understanding of the culture of the Micronesians. The role their culture plays upon the development of the Micronesian and upon the psyche of the Micronesian is explored.     

A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform

Objective: To develop a new bioinformatic tool based on a data-mining approach for extraction of the most infor-mative proteins that could be used to fred the potential biomarkers for the detection of cancer. Methods: Two independent datasets from serum samples of 253 ovarian cancer and 167 breast cancer patients were used. The samples were examined by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). The datasets were used to extract the informative proteins using a data-mining method in the discrete stationary wavelet transform domain. As a dimensionality re-duction procedure, the hard threshoiding method was applied to reduce the number of wavelet coefficients. Also, a distance measure was used to select the most discriminative coefficients. To find the potential biomarkers using the selected wavelet coefficients, we applied the inverse discrete stationary wavelet transform combined with a two-sided t-test. Results: From the ovarian cancer dataset, a set of five proteins were detected as potential biomarkers that could be used to identify the cancer patients from the healthy cases with accuracy, sensitivity, and specificity of 100%. Also, from the breast cancer dataset, a set of eight proteins were found as the potential biomarkers that could separate the healthy cases from the cancer patients with accuracy of 98.26%, sensitivity of 100%, and specificity of 95.6%. Conclusion: The results have shown that the new bioinformatic tool can be used in combination with the high-throughput proteomic data such as SELDI-TOF MS to find the potential biomarkers with high discriminative power.     

Development of higher education in Saudi Arabia

This article seeks to trace the development of higher education in the Kingdom of Saudi Arabia from its origins to the present day. The study includes discussion of the historical roots of education as based on Islam, Islamic philosophy of education, the aims and objectives of higher education and modern university education. Empirical statistics are given to substantiate the Kingdom's rapid progress in higher education. Since 1957 when modern university education began with a single institution with twenty-one students and a staff of nine it has grown until twenty-five years later in 1982 higher education had grown to seven institutions with 63,563 students and a teaching staff of 6,906. The study examines these aspects of higher education; Saudi students studying abroad, foreign students studying in Saudi Arabia, female education, the role of the Ministry of Higher Education and the financing of higher education.     

Subset selection of best simulated systems

In this paper, we consider the problem of selecting a subset of k systems that is contained in the set of the best s simulated systems when the number of alternative systems is huge. We propose a sequential method that uses the ordinal optimization to select a subset G randomly from the search space that contains the best simulated systems with high probability. To guarantee that this subset contains the best systems it needs to be relatively large. Then methods of ranking and selections will be applied to select a subset of k best systems of the subset G with high probability. The remaining systems of G will be replaced by newly selected alternatives from the search space. This procedure is repeated until the probability of correct selection (a subset of the best k simulated systems is selected) becomes very high. The optimal computing budget allocation is also used to allocate the available computing budget in a way that maximizes the probability of correct selection. Numerical experiments for comparing these algorithms are presented.