163,103 research outputs found

    Preparing Aspiring Superintendents to Lead School Improvement: Perceptions of Graduates for Program Development

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    Changes in the design and delivery of educational leadership preparation programs are advocated in order to meet the needs of leadership for 21st century schools (Byrd, 2001; Cox, 2002; McKerrow, 1998; Smylie & Bennett, 2005). The changing needs of the 21st century, coupled with accountability standards and more diverse populations of students within school districts, create challenges for leaders who are attempting to increase student achievement (Firestone & Shipps, 2005; Schlechty, 2008). Further, student performance demands have increased at the state and national level because of the No Child Left Behind Act (Wong & Nicotera, 2007). These standards have thus increased the emphasis of the administrator\u27s responsibility to positively impact student achievement (Taylor, 2001). With the graying of the profession and the need for exemplary school superintendents, the preparation of school superintendents who can successfully lead school improvement is vitally important (Lashway, 2006). According to the National Council for the Accreditation of Teacher Education (NCATE, 2002), university preparation programs should seek current leaders\u27 perspectives of critical content components and the processes to be used in the preparation of educational leaders who can lead school improvement practices and processes

    Customer purchase behavior prediction in E-commerce: a conceptual framework and research agenda

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    Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abundance of big data and possible tools to analyze them, a systematic review of the literature is missing. Therefore, this paper presents a systematic literature review of recent research dealing with customer purchase prediction in the E-commerce context. The main contributions are a novel analytical framework and a research agenda in the field. The framework reveals three main tasks in this review, namely, the prediction of customer intents, buying sessions, and purchase decisions. Those are followed by their employed predictive methodologies and are analyzed from three perspectives. Finally, the research agenda provides major existing issues for further research in the field of purchase behavior prediction online

    Full Issue Spring 2010 Volume 5, Issue 2

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    Online Resumes: Optimizing Design to Service Recruiters

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    Despite the increasing number of publications in e-Recruiting, there is still scant research on the specific requirements of online resume fields, in particular from the recruiters’ perspective. In this paper, the fields for resume forms are investigated by analyzing literature, interviewing recruiters and systematically categorizing and content-analyzing the resume fields of the 40 largest Dutch e- Recruiting sites. The findings reflect the main categories currently used in online resume forms: current career status, desired job, education, work experience, extracurricular activities, skills and personal and contact information. These identified online resume fields are discussed in light of prior resume design literature and compared with resume requirements derived from interviewing recruiters. Recommendations for resume design theory and practice are proposed

    The state-of-the-art in personalized recommender systems for social networking

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    With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users’ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0

    The contribution of data mining to information science

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    The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge. In the past several years, data mining has made a significant contribution to the field of information science. This paper examines the impact of data mining by reviewing existing applications, including personalized environments, electronic commerce, and search engines. For these three types of application, how data mining can enhance their functions is discussed. The reader of this paper is expected to get an overview of the state of the art research associated with these applications. Furthermore, we identify the limitations of current work and raise several directions for future research

    A review on seawater as concrete composites and its effects on the strength and durability

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    The world is facing a big challenge of balancing a growing population and demand with a natural environment that is increasingly under stress. The rapidly changing environmental conditions especially intensity and frequency of extreme weather it has now become very important to explore in green technology. Effective use of natural resources is pressing concern. Particularly, water resources for drinking are predicted to be in serious shortage in 2050 due to increase in population and rapid urbanization throughout the world. The beginning of the 21st century is straddled with enormous environmental problems of which water shortage is one of the most serious. It is a well-known fact that fresh water resources are continuously declining throughout the world and according to a report by the United Nations, water will be very short in future. It is expected that 5bn people will be short of drinking water in 2050 [1]. In another report published by OECD, it is stated that a number of people living in river basins will be under severe water stress which is expected to be double in 2050 .
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