高校双语教学满意度与忠诚度影响因素研究--基于结构方程模型的实证分析

高校双语教学满意度与忠诚度是衡量双语教学质量的重要指标,对于培养国际化复合型人才有着积极意义。本文构建了高校双语教学满意度与忠诚度模型,分析了教学水平、教师素养、学习潜能、学习自主性、外语氛围和激励保障六个前因变量,以及学生抱怨和双语教学忠诚度两个结果变量对双语教学满意度的影响。从华南农业大学采集了540个有效样本,采用结构方程技术对模型进行了实证分析。研究结果表明,教学水平、教师素养、学习自主性和激励保障在不同程度上对双语教学满意度产生显著正向影响;双语教学满意度对双语教学忠诚度有正向显著影响,其中双语教学满意度对学生抱怨有负向显著影响,而学生抱怨对双语教学忠诚度有负向显著影响。     

基于SEM的公众太阳能光伏发电认知和采纳意愿的实证研究

当今世界,化石能源日益短缺、能源危机加剧,作为新能源和清洁能源的太阳能光伏发电应运而生,世界各国都加快了太阳能开发利用的步伐。公众作为太阳能光伏发电的采纳主体,直接影响着太阳能的开发利用及光伏发电的推广速度。因此,开展公众对太阳能光伏发电认知和采纳意愿的研究具有重要的现实意义。本文基于武汉地区330份有效调查问卷数据,采用结构方程模型对公众太阳能光伏发电认知和采纳意愿进行了实证研究。在理论分析和因子分析的基础上,提出了太阳能光伏发电认知与采纳意愿的概念模型和研究假设,构建了结构方程模型(SEM)并对概念模型和研究假设进行了实证检验。研究结果表明:1政府政策对公众的节能意识、太阳能光伏发电设备的选择倾向和采纳意愿均具有显著的积极影响,其中对公众的节能意识影响最大;2公众节能意识对其太阳能光伏发电的认知与太阳能光伏发电设备的采纳意愿产生显著的积极影响,其中对采纳意愿的影响最大;3公众的节能意识和公众认知对其选择倾向产生的直接影响未达到统计学显著水平,且公众认知和选择倾向对其采纳意愿产生的直接影响也未达到统计学显著水平。最后,基于上述研究结论,本文提出了相应的政策建议。     

基于Pro/E的槽轮导向弧形摆动机构设计及运动仿真分析

本文引用槽轮导向弧形摆动机构,运用Pro/Engineer软件进行三维实体造型,并重点介绍了三维软件Pro/Engineer的功能及其用它来建构槽轮导向弧形摆动机构的设计建模方法和装配的制作。笔者特意制作了该机构的动画仿真来展示例图产品的特性和结构,使读者更加直观的了解本产品的模具结构。     

强化造型训练创新思维模式—美术院校绘画专业素描教学考论

在我国美术院校的艺术教学中,素描教学一直是造型艺术学科的一个重要课题。素描是最直接的造型艺术形式,以培养学生的造型能力为宗旨,学生自觉地、创造性地学习具象绘画的艺术精髓,在艺术实践中不断加深和提高艺术审美能力和艺术表现能力,提升他们的艺术思维能力、想象力、创造力以及敏锐的观察力和准确的判断力。现代抽象素描,它依托于西方现代主义,以形式的创造力、艺术的感知力为表现标准,要求学生以素描的理念为指导,把培养艺术思维观念纳入教学范畴。现代素描丰富了写实性素描的表现理念,有着更广泛的形的美学含义,但其基础还是写实素描,只有在写实素描的基础上,让学生多方位、多角度地去思考造型和表现意识,才能使艺术思维和创造潜能得到充分发挥。     

Students' articulations of uncertainty about big data in an integrated modeling approach learning environment

In recent years, big data has become ubiquitous in our day-to-day lives. Therefore, it is imperative for educators to integrate nontraditional (big) data into statistics education to ensure that students are prepared for a big data reality. This study examined graduate students' expressions of uncertainty while engaging with traditional and nontraditional big data investigation activities. We first suggest a theoretical framework based on integrated insights from statistics education and data science to analyze and describe novices' reasoning with the various uncertainties that characterize both traditional and big data—the Variability, Data, and Phenomenon (VDP) framework. We offer a case study of graduate students' participation in the integrated modeling approach (IMA) learning trajectory, illustrating the utility of the VDP framework in accounting for the different types of articulated uncertainties. We also discuss the teaching implications of the VDP.     

高等数学教学中融入数学建模思想

高等数学教学过程中融入数学建模思想是很有必要的。通过实例说明高等数学教学过程中融入数学建模思想是可行的,并给出高等数学教学中融入数学建模思想的其它手段和措施。     

Hybrid E‐Learning Acceptance Model: Learner Perceptions

E‐learning tools and technologies have been used to supplement conventional courses in higher education institutions creating a “hybrid” e‐learning module that aims to enhance the learning experiences of students. Few studies have addressed the acceptance of hybrid e‐learning by learners and the factors affecting the learners’ satisfaction with these tools. This study assesses hybrid e‐learning acceptance by learners using three critical success factors: instructor characteristics, information technology infrastructure, and organizational and technical support. Structural equation modeling was applied to examine and validate the hypothesized relationships among the three factors and their effects on learners’ acceptance of hybrid e‐learning. A total of 538 usable responses from university students were used to validate the proposed research model. The influence of the three factors on learners’ decision to accept hybrid e‐learning was empirically examined. The results show that all three factors significantly and directly impacted the learners’ acceptance of hybrid e‐learning courses. Information technology infrastructure and organizational support were proven to be key determinants of the instructor characteristics as a critical success factor of hybrid e‐learning acceptance by learners. Implications of this work for higher education institutions, researchers, and instructors are described.     

Announcing the Engagement of Sudoku: An In‐Class Genetic Algorithm Game

This teaching brief describes an engaging, in‐class exercise that introduces genetic algorithms as well as advanced Excel functions and capabilities by modeling the familiar Sudoku puzzle. Student groups are first asked to manually solve a given puzzle and then translate that solution methodology to a spreadsheet model. This exercise can be used to build classroom community and as a launching point for the content area of genetic algorithms and the use of Evolutionary Solver.     

高价值专利评估问题的对策研究

我国经济已由高速增长阶段转向高质量发展阶段,高质量发展需要高价值专利保驾护航。高价值专利评估是推动高价值专利转化为现实生产力的重要环节。为有效评估高价值专利,首先对高价值专利的内涵进行了界定,其次在分析和评估现有专利价值评估方法基础上,以300件中国专利奖获奖专利为研究对象,从技术因素、法律因素、经济因素、市场因素等四个层面,挖掘高价值专利的典型性特征,构建专利价值评估指标体系和评估模型。通过验证发现,该模型准确性较高、可测性较好、实用性较强,能够为加快推进高价值专利评估工作,促进高价值培育和转移转化提供借鉴与参考。最后针对高价值专利评估问题,就健全评估体系、增强评估意识与能力、打造评估服务平台等提出了对策建议。