Teaching and evaluating instructor effectiveness using the instructor effectiveness questionnaire and the instructor effectiveness check sheet combination

Abstract

This article describes the use of two linked instruments, the Instructor Effectiveness Check Sheet (IEC) and Instructor Effectiveness Questionnaire (IEQ). The use of an evaluation instrument during a course can enable improvements to be made — even with experienced instructors. Detail can be taken from the IEC and IEQ to find obvious and not so obvious needed changes and attention to individuals in the group. The article gives an example where the instruments were used to teach instructors about different pedagogical constructs, describes further research using the instruments at the Nantahala Outdoor Center, USA, and describes a case study on a wilderness education group that illustrated improvement in effective teaching.     

Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities

Energy efficiency of public sector is an important issue in the context of smart cities due to the fact that buildings are the largest energy consumers, especially public buildings such as educational, health, government and other public institutions that have a large usage frequency. However, recent developments of machine learning within Big Data environment have not been exploited enough in this domain. This paper aims to answer the question of how to incorporate Big Data platform and machine learning into an intelligent system for managing energy efficiency of public sector as a substantial part of the smart city concept. Deep neural networks, Rpart regression tree and Random forest with variable reduction procedures were used to create prediction models of specific energy consumption of Croatian public sector buildings. The most accurate model was produced by Random forest method, and a comparison of important predictors extracted by all three methods has been conducted. The models could be implemented in the suggested intelligent system named MERIDA which integrates Big Data collection and predictive models of energy consumption for each energy source in public buildings, and enables their synergy into a managing platform for improving energy efficiency of the public sector within Big Data environment. The paper also discusses technological requirements for developing such a platform that could be used by public administration to plan reconstruction measures of public buildings, to reduce energy consumption and cost, as well as to connect such smart public buildings as part of smart cities. Such digital transformation of energy management can increase energy efficiency of public administration, its higher quality of service and healthier environment.     

基于免疫算法和人工势场的移动机器人路径规划

分析了人工势场模型存在的两个问题:目标不可到达问题和由于局部最优解的存在而产生的死锁问题。在人工势场路径规划的基础上,提出了基于免疫算法和人工势场法的最优路径规划方法。通过仿真算例验证了该模型的有效性。     

安阳市园林绿化植物调查规划

通过调查安阳市区园林绿化现状以及园林植物的种类、数量、分布,并进行归纳总结,提出了安阳市园林绿化存在的问题．以及今后安阳市园林绿化与绿化系统建设对策,为创造生态和谐的市区环境提供理论基础。     

电子信息专业实验室建设的回顾与思考

高校实验室承担着教学与科研的双重任务,成为培养人才和孕育科研成果的摇篮。我们通过提高认识,加快专业实验室建设步伐;通过科学规划,加强专业实验室建设指导;通过整合实验内容,提高专业实验室使用效率。     

浅谈政府资源规划

本文从理论上提出了政府资源规划(GovernmentResourcesPlanningGRP)的概念,探讨了GRP的特点和意义,分析了GRP的结构层次和功能层次。作者希望通过GRP的理论和方法的建构与研究,为我国政务信息化建设提供理论支持。     

生物医学工程类期刊开辟临床应用栏目的意义和实践——以《中华生物医学工程杂志》为例

【目的】探讨生物医学工程类期刊开辟临床应用栏目的意义,为媒体融合出版形式下期刊的栏目建设和竞争力的提高提供借鉴。【方法】以《中华生物医学工程杂志》为例,介绍其临床应用特色栏目“新技术与临床”设置的背景、特点、选题策划过程、现状和今后发展规划。【结果】《中华生物医学工程杂志》开辟“新技术与临床”栏目偏重临床的实践性报道,围绕栏目宗旨和选题计划、读者需求、培养年轻医师潜在作者群3个方面确定报道内容,体现了该刊为临床医生服务的办刊宗旨。【结论】生物医学工程类期刊开辟临床应用栏目可强化期刊的读者意识,突出期刊的导向功能,体现期刊的办刊特色,提高期刊竞争力。     

试论图书选题策划与管理

随着我国加入WTO,图书市场的竞争进一步加剧.出版社面对瞬息万变的图书市场和图书业内外的巨大压力,需要进一步加强选题的策划能力和实现能力,这是出版社生存和发展的需要,也是现代社会发展的必然要求.     

对"三农"问题的一点政治学反思

“三农”问题归根结底是农民问题——是农民的生存和发展问题，是农民的人权（农民的生存权和发展权）问题，是农民的利益问题，是农民的权利问题——是农民在国家权利资源分配中的地位问题。解决“三农”问题，当前首要的是明确农民在国家权利资源分配中的地住，给予和保障农民享有充分而平等的经济权利、政治权利、文化教育权利和社会保障权利，或者换一种说法，就是“给予农民以国民待遇”。     

城市污水资源化状况的分析与对策

文章介绍了我国城市水资源现状，指出城市污水再生回用既能缓解水短缺问题，又可减少污水排放对环境的污染．最后提出了城市污水资源化的几条建议．