智能科学与技术本科专业“小学期”制教学思考

针对湖南大学智能科学与技术专业现行本科教学计划专业特色、学科交叉性等问题,在分析新的小学期制度基础上,本文阐述新制订的智能科学与技术专业本科教学计划,并探索了小学期制度下教学改革的部分举措,以期通过调整和改革使湖南大学智能科学与技术本科专业的建设更上一个台阶,为本专业的人才培养作出积极贡献。     

智能科学与技术交叉学科专业建设探索

智能科学与技术这一新专业的建设是一项复杂的系统工程。为确保本专业的办学水平,保证人才培养的质量,需要形成特色鲜明的新专业建设思路。以首都师范大学智能科学与技术专业的建设思路和工作实践为例,对新专业的特色建设工作进行探讨。     

计算机科学与技术专业应用型本科师资队伍建设探析

近年来学生就业形势严峻,地方应用型高校有必要进行应用型计算机人才培养模式改革,其中师资队伍建设是关键。在分析目前计算机科学与技术专业应用型本科师资队伍建设中存在的问题的基础上,着重从3方面提出提高教师实践能力、加强师资队伍建设的具体措施,并取得一定成效。     

智能科学与技术专业的课程规划与建设

介绍"智能科学与技术"专业的背景,结合重庆邮电大学的学科优势与人才优势,总结一年的教学实践情况,初步探讨"智能科学与技术"课程规划、课程建设、学生对专业认识及就业前景等问题。     

谈智能科学多媒体辅助教学设计

在多媒体辅助教学中,教学设计直接影响教学效果。认知心理学的发展,尤其是R.E.Mayer提出的多媒体教学理论给我们提供了一个研究教学设计规则的依据。描述同多媒体教学相关的认知心理学的几个基本理论,在此基础上提出一些关于提高多媒体辅助教学效果的教学设计方法。     

Effect of animation enhanced conceptual change texts on 6th grade students’ understanding of the particulate nature of matter and transformation during phase changes

In this study, the effect of animation enhanced conceptual change texts (CCT–CA) on grade 6 students’ understanding of the particulate nature of matter (PNM) and transformation during the phase changes was investigated. A quasi-experimental design and one control group (CG, N = 25) and one experimental group (EG, N = 26) were used. While the control group taught traditional instruction, the experimental group received CCT–CA instruction. Two different tests, The Particulate Nature of Matter Concept Test (ParNoMaC) and The Transformation of Matter Statement Test (ToMaSaT), were administered as pretest, posttest and delayed test to collect data. Results indicate that while there is no statistically significant difference between groups in pretest, performance of EG students is greater than the CG ones in posttest and delayed test. And also, the EG students are better in remediating their alternative conceptions related to the PNM and transformations during the phase changes. Based on the study, it is concluded that CCT–CA combination may be effective way to improve students’ understanding of basic science and chemical concepts.     

SimpleGrid toolkit: Enabling geosciences gateways to cyberinfrastructure

Cyberinfrastructure science and engineering gateways have become an important modality to connect science and engineering communities and cyberinfrastructure. The use of cyberinfrastructure through gateways is fundamental to the advancement of science and engineering. However, learning science gateway technologies and developing science gateways remain a significant challenge, given that science gateway technologies are still actively evolving and often include a number of sophisticated components. A geosciences gateway must be designed to accommodate legacy methods that geoscientists use in conventional computational tools. The research described in this paper establishes an open-source toolkit—SimpleGrid for learning and developing science gateways based on a service-oriented architecture using a component-based approach that allows flexible separation and integration of the components between geocomputation applications and cyberinfrastructure. The design and implementation of SimpleGrid is based on the National Science Foundation TeraGrid—a key element of the U.S. and world cyberinfrastructure. This paper illustrates our experience of using SimpleGrid and a spatial interpolation method in a tutorial to teach TeraGrid science gateways.     

The evaluation of cluster policy by fuzzy MCDM: Empirical evidence from HsinChu Science Park

In the recent years, industrial clusters have received considerable attention from economists and industrial analysts, because they are seen as the main reason for economic growth and success of certain economic region. This study systematically reviews past researches of industrial cluster. The purpose of this paper is to contribute to the understanding of this issue regarding the driving forces for the growth of industrial cluster and find out the priority among these cluster policies. Taiwan HsinChu Science Park is a prime example for this paper, and its connection with the innovative participators. We begin with an examination of the literature on cluster about its driving forces and policies upon which we propose a conceptual framework. In doing so, we explore the cluster-based industrial system. Then this research adopts the Fuzzy Analytic Hierarchy Process as the analytical tool. The Fuzzy Analytic Hierarchy Process method is used to determine the weightings for evaluation dimension among decision makers. From our research results, the Factor Conditions is the most important driving force for advancing the industrial cluster performance. Moreover, the promotion of international linkages policy and broader framework policies rank the first two priorities for cluster policy. Overall, this paper concludes with some simulations of cluster policy alternatives confronting the industry and the Taiwanese government.     

基于Citrix的异地软件共享系统的设计与实现

针对国家科技基础条件平台中大型仪器、设备等共享的需求,提出基于思杰（Citrix）的异地软件共享解决方案,其中包括系统原理、设计与实现的描述。经过用户试用,证明该方案可行,有助于提高大型软件的利用率,减少大型软件的购买费用,符合科技基础条件平台资源共享与整合的建设原则。     

泛系论与复杂超系统运筹的生物学化思维（Ⅱ）

本文论述系理论的沿革及其与系统科学、辩证法、生命科学的比较,通过几个表32个项目的对比对泛系理论进行了相对具体的定位,阐述泛理论与数理工医文社史哲诸多学科百家研究的前缘关系,同时揭示许多与高新技术、思维科学、方法论有关的一些新的理法,发展了泛系生物学框架,它对计算机、数字工程、人工智能、模式识别、图象处理、细胞自动机、大脑研究、神经网络与神经计算机、生物控制论、机器人、仿生学和系统科学等等的发展因缘与战略性思考,对大型自动化系统、复杂系统与大系统工程建构的运筹和人类本身的理解均有特殊意义,有关的论题涉及：方法论,逼近论,等价论,相对论,辩证逻辑,系统论,控制论,信息论,泛熵论,识别论,对策论,数字空间的数学形态学,广义系统边界理论,粗集理论,一般生命系统及其对系统科学与思维科学发展和对系统工程原理、传感器机理、大型自控系统与智能生命系统营构的影响。等等。