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Article

A session at the recent National Online Meeting in New York, chaired by Laurence Lannon of DynCorp ATS, looked at the subject of electronic publishing and electronic…

Abstract

A session at the recent National Online Meeting in New York, chaired by Laurence Lannon of DynCorp ATS, looked at the subject of electronic publishing and electronic delivery. The speakers were Bill Thornburg of Dataware Technologies Inc., Carol Tenopir and Donald King of the University of Tennessee, Thomas R. Kochtanek of the University of Missouri, and Mounir A. Khalil of the City College, City University of New York.

Details

Online and CD-Rom Review, vol. 20 no. 4
Type: Research Article
ISSN: 1353-2642

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Article

Mounir A. Khalil

Wireless LANs (WLAN) offer network flexibility and end‐user mobility, making them one of the hottest technologies today. They have great impact on individuals and…

Abstract

Wireless LANs (WLAN) offer network flexibility and end‐user mobility, making them one of the hottest technologies today. They have great impact on individuals and organizations. Now people can use wireless networks in every application where recent findings indicate that growth in WLAN market continues to be driven by the corporate and educational sectors, where the desire to increase productivity and the benefit of enhanced mobility and learning outcomes continue to fuel demand. A questionnaire was developed to survey the behavior of end‐users, especially students and faculty, in using wireless laptops in accessing information from the Internet, digital libraries and many electronic sources in their education and research. The paper presents the advantages and disadvantages of using wireless network laptops as well as barriers for not using them in Higher Education. Special new update on wireless network security will be included. Guidelines for implementing wireless laptops in higher education are discussed.

Details

Library Hi Tech News, vol. 21 no. 7
Type: Research Article
ISSN: 0741-9058

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Article

Mounir A. Khalil

The purpose of this article is to investigate the traditional mentoring practices of mentors and protégés.

Abstract

Purpose

The purpose of this article is to investigate the traditional mentoring practices of mentors and protégés.

Design/methodology/approach

As a matter of fact students with disabilities, as a group, have the lowest participation in postsecondary education programs and the highest unemployment rates. Effective mentoring programs can change these outcomes. These students need knowledgeable mentors who are familiar with technology and disabilities to help them in their fields of education. Access to technology and emphasis on using the technologies for mentors will be discussed.

Findings

Traditional in‐person mentoring is problematic because of transportation problems with appointment or location. In addition, mentors can help their protégés explore career options, set academic and career goals develop social and professional contacts, identify resources, and strengthen interpersonal skills. Using technology between mentors and protégés makes it easy to exchange information at anytime from anywhere.

Practical implications

The paper discusses in detail two widely used e‐mentoring programs. The first program is DO‐IT, a program which is sponsored by the University of Washington and the second program is MentorNet, which deals with mentoring and increasing diversity in the engineering and science fields.

Originality/value

As one writer stated: “mentoring is a win‐win situation”. This article describes the need for intervention, mentoring and retention of students with disabilities in Higher Education.

Details

Library Hi Tech News, vol. 25 no. 1
Type: Research Article
ISSN: 0741-9058

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Article

Mounir Khalil, Raja Jayatilleke and Ben Jeapes

In May this year at the 17th National Online Meeting in New York the main authors presented a paper (Khalil & Jayatilleke 1996) on ‘The use of electronic journals in…

Abstract

In May this year at the 17th National Online Meeting in New York the main authors presented a paper (Khalil & Jayatilleke 1996) on ‘The use of electronic journals in libraries’. More recently they conducted a survey to elicit information from and the reactions of end‐users about mis comparatively new medium by posting a questionnaire on a number of listservs, including ASIS‐L, BUSLIB‐L, LIBADMIN‐L and SERIALST‐L.

Details

The Electronic Library, vol. 14 no. 6
Type: Research Article
ISSN: 0264-0473

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Article

Mohamed Ali Feki, Mounir Mokhtari and Ismail Khalil Ibrahim

In this paper, we describe a novel approach for ontology distribution in ubiquitous environments. We present the Context Aware Explorer (CAE) framework we have developed…

Abstract

In this paper, we describe a novel approach for ontology distribution in ubiquitous environments. We present the Context Aware Explorer (CAE) framework we have developed which allows building context aware applications. Our approach, while built upon Web Ontology Language OWL and RDF Schema, is aiming at modeling context ontology for supporting context reasoning and the design of a Smart Rule Engine that maintains a shared model of context for all computing entities in the smart space. The CAE main contribution is its ability to distribute ontology based on abstract parameters related to situation and to user profile. The ultimate goal is to decrease the response time of the reasoning engine with regards to reasoning accuracy. We also describe the implementation of CAE, and its associated ontology, in a prototype demonstrator of smart environment handling indoor and outdoor context aware services. The validation of the ontology distribution approach was applied to assistive environment dedicated to people having motor disabilities and tested within laboratory conditions. Preliminary performance results are presented to highlight the impact of distributed ontology concept.

Details

International Journal of Web Information Systems, vol. 2 no. 3/4
Type: Research Article
ISSN: 1744-0084

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Article

Mounir Khalil

Describes the PC‐Fax‐Scan Interlibrary Loan (ILL)‐Document DeliveryProject, highlighting the advantages of using the newly developedsystem. Briefly discusses the necessary…

Abstract

Describes the PC‐Fax‐Scan Interlibrary Loan (ILL)‐Document Delivery Project, highlighting the advantages of using the newly developed system. Briefly discusses the necessary hardware and software for the conversion and how to select it.

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Article

Jeffrey Feghaly, Mounir El Asmar, Samuel Ariaratnam and Wylie Bearup

The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery…

Abstract

Purpose

The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery method for their water treatment plant projects.

Design/methodology/approach

The selection factors were identified by compiling and validating key project delivery selection factors across various industries through an extensive literature review and two industry expert workshops. This resulted in the development of a web-based decision-support tool to facilitate project delivery method selection within the water industry.

Findings

The research effort led to the identification of 13 key project delivery method selection factors (seven primary factors and six secondary factors) for water treatment plant projects. These factors were utilized to develop EXPRSS-TP, a pioneering web-based project delivery method decision-support tool for the water industry.

Practical implications

A project delivery method selection process is typically an informal process that may range from days to weeks at a time. Based on this work, the assessment can now be completed in about one hour and provides decision-makers with the most favorable delivery method for their project. And with the new tool that encompasses the new knowledge, not only is the decision reached at an accelerated pace, EXPRSS-TP also documents the entire selection process, allowing for a written and retained record of this key decision and its procedure.

Originality/value

This paper contributes to the exisiting body of knowledge by identifying key project delivery selection factors across numerous industries, assessing and combining them, and finally incorporating them into one comprehensive process. EXPRSS-TP improves the traditional project delivery method selection process and provides evidence-based project delivery method selection recommendations.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 4
Type: Research Article
ISSN: 0969-9988

Keywords

Content available
Article

Julia Gelfand and Colby Riggs

Abstract

Details

Library Hi Tech News, vol. 21 no. 7
Type: Research Article
ISSN: 0741-9058

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Article

Soraya Sedkaoui and Mounia Khelfaoui

With the advent of the internet and communication technology, the penetration of e-learning has increased. The digital data being created by the educational and research…

Abstract

Purpose

With the advent of the internet and communication technology, the penetration of e-learning has increased. The digital data being created by the educational and research institutions is also on the ascent. The growing interest in recent years toward big data, educational data mining and learning analytics has motivated the development of new analytical ways and approaches and advancements in learning settings. The need for using big data to handle, analyze this large amount of data is prime. This trend has started attracting the interest of educational institutions which have an important role in the development skills process and the preparation of a new generation of learners. “A real revolution for education,” it is based on this kind of terms that many articles have paid attention to big data for learning. How can analytics techniques and tools be so efficient and become a great prospect for the learning process? Big data analytics, when applied into teaching and learning processes, might help to improvise as well as to develop new paradigms. In this perspective, this paper aims to investigate the most promising applications and issues of big data for the design of the next-generation of massive e-learning. Specifically, it addresses the analytical tools and approaches for enhancing the future of e-learning, pitfalls arising from the usage of large data sets. Globally, this paper focuses on the possible application of big data techniques on learning developments, to show the power of analytics and why integrating big data is so important for the learning context.

Design/methodology/approach

Big data has in the recent years been an area of interest among innovative sectors and has become a major priority for many industries, and learning sector cannot escape to this deluge. This paper focuses on the different methods of big data able to be used in learning context to understand the benefits it can bring both to teaching and learning process, and identify its possible impact on the future of this sector in general. This paper investigates the connection between big data and the learning context. This connection can be illustrated by identifying the several main analytics approaches, methods and tools for improving the learning process. This can be clearer by the examination of the different ways and solutions that contribute to making a learning process more agile and dynamic. The methods that were used in this research are mainly of a descriptive and analytical nature, to establish how big data and analytics methods develop the learning process, and understand their contributions and impacts in addressing learning issues. To this end, authors have collected and reviewed existing literature related to big data in education and the technology application in the learning context. Authors then have done the same process with dynamic and operational examples of big data for learning. In this context, the authors noticed that there are jigsaw bits that contained important knowledge on the different parts of the research area. The process concludes by outlining the role and benefit of the related actors and highlighting the several directions relating to the development and implementation of an efficient learning process based on big data analytics.

Findings

Big data analytics, its techniques, tools and algorithms are important to improve the learning context. The findings in this paper suggest that the incorporation of an approach based on big data is of crucial importance. This approach can improve the learning process, for this, its implementation must be correctly aligned with educational strategies and learning needs.

Research limitations/implications

This research represents a reference to better understanding the influence and the role of big data in educational dynamic. In addition, it leads to improve existing literature about big data for learning. The limitations of the paper are given by its nature derived from a theoretical perspective, and the discussed ideas can be empirically validated by identifying how big data helps in addressing learning issues.

Originality/value

Over the time, the process that leads to the acquisition of the knowledge uses and receives more technological tools and components; this approach has contributed to the development of information communication and the interactive learning context. Technology applications continue to expand the boundaries of education into an “anytime/anywhere” experience. This technology and its wide use in the learning system produce a vast amount of different kinds of data. These data are still rarely exploited by educational practitioners. Its successful exploitation conducts educational actors to achieve their full potential in a complex and uncertain environment. The general motivation for this research is assisting higher educational institutions to better understand the impact of the big data as a success factor to develop their learning process and achieve their educational strategy and goals. This study contributes to better understand how big data analytics solutions are turned into operational actions and will be particularly valuable to improve learning in educational institutions.

Details

Information Discovery and Delivery, vol. 47 no. 1
Type: Research Article
ISSN: 2398-6247

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Article

Mostafa Mohamed Al Sayed and Michael Elnemais Fawzy

The purpose of this paper is to study the role of social factors that determine the length of stay in a mental hospital and also understand the main factors leading to the…

Abstract

Purpose

The purpose of this paper is to study the role of social factors that determine the length of stay in a mental hospital and also understand the main factors leading to the phenomena as a step to solve it.

Design/methodology/approach

A case-control cross-sectional observational study is performed which studies correlates for the lengthy stay in a mental hospital. The study population consists of two groups: Group A (94 patients), taken from the patients hospitalized for more than one year, further subdivided into schizophrenia and schizoaffective inpatient group and bipolar affective inpatient group; and Group B (94 patients), receiving their treatment at the outpatient clinic after being admitted for less than six months, this group was further subdivided into same categories as Group A.

Findings

The study showed that the positive score in positive and negative symptoms scale (PANSS) showed highly statistically significant (p<0.01) correlation with the length of hospital stay for the schizophrenic and schizoaffective patients in the inpatient group. The results showed no statistically significant difference (p>0.05) between the inpatient schizophrenic cases and the inpatient affective cases regarding the length of hospital stay.

Research limitations/implications

The linear regression model was used to understand the predictors of increased length of hospital stay. The linear regression analyzing the scale data of schizophrenic and schizoaffective patients found that the length of hospital stay for the schizophrenic and schizoaffective patients depends on the patient’s age and his positive PANSS score. On the other hand, linear regression model for bipolar affective patients in the study found no statistically significant attributes of the length of hospital stay.

Practical implications

The study found that the length of hospital stay for schizophrenic and schizoaffective patients depends on the patient’s age and his positive PANSS score.

Social implications

The need for this study stems from the large numbers of mental inpatients who have been lengthily admitted in mental health hospitals in Egypt, while trying to understand main factors leading to the phenomena as a step to solve it. The study found that there is a highly significant difference between inpatient group and outpatient group regarding the marital status, education level, and psychosocial class, with inpatient group having more single, illiterate, and very low social class cases.

Originality/value

Research in the area of chronic psychiatric hospitalization and its effect on the course and prognosis of mental illness is still scarce, especially in the Arab world; therefore, the research will open the door for further research efforts in the future with a larger sample of patients to study the pros and cons of deinstitutionalization taking into account the past experience of health systems in other countries.

Details

International Journal of Human Rights in Healthcare, vol. 11 no. 1
Type: Research Article
ISSN: 2056-4902

Keywords

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