Implementing a Big-data Based Strategy to Increase Studentsr Enrollment for Dalian Neusoft University of Information

Abstract

Abstract. Currently, education has become a business sector that provides service to students worldwide, which has shown similarity to consumer goods marketing. Higher education is becoming increasingly competitive among universities. Act as a private higher education organization, Dalian Neusoft University of Information (DNUI) aims to distinguish itself from national universities by topping education quality, students' innovation ability and startup across all departments in 2022. This needs the support of the most able and motivated students and sufficient funding. This project proposes a big-e based strategy to deal with the dilemma of this university. This strategy is a combination of big-data techniques, Customer-to-Business (C2B) initiative and Information Technology Outsourcing (ITO). Big-data and information technologies are introduced in business field for customer requirement analysis and preferences prediction. Big-data technique enables scale, scope and speed business. C2B enables consumers to name products or services such that the organization can generate the demand collection for a specific good or service. ITO contributes to cost-saving, skilled labor market and short marketing development time scale. Case based reasoning (CBR) is introduced in this project for logic predicate and propositional logic, which contributes to the likelihood and preferences calculation so as to support strategy innovation and current strategies update. The evaluation data of this project is collected from the random sampling technique and self-administered questionnaires were distributed by mail and online to middle school students in Dalian City. Analytic hierarchy process (AHP) algorithm is introduced for evaluating the reputation achieving of this strategy. The curriculum design is assessed by chi-square test. The location and distance analysis are evaluated by correlations.

Optimizing Built Environment in Urban Negative Spaces Using Parametric Methods—Research on a High-Density City in China

“…Currently, the development of most Chinese cities is constrained by the urban environment, and there is a growing shift in urban development towards prioritizing "quality" over "quantity". Therefore, exploring optimization and renewal strategies for urban negative spaces has become crucial [4][5][6]. Simultaneously, many international competitions have begun to focus on various types of negative spaces within high-density cities, investigating the relationships between individuals, negative spaces, and urban development [7].…”