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1.
本文主要结合高职统计学的特点,提出了应用案例教学模式的重要性,并对案例教学模式在高职统计学教学中的应用进行深入的分析,总结了应用案例教学的原则以及注意事项,更好地完善了案例教学模式,从而推动了高职统计学教学的健康可持续发展,为学生的职业生涯奠定了坚实的基础。  相似文献   

2.
随着计算技术的飞速发展,经典的数理统计理论得到快速应用与推广,并且同计算技术相结合的统计机器学习理论应运而生。文章将探讨在传统的“数理统计学”教学中融入现代的机器学习方法的教学模式,并在实际教学活动中通过与以往的“数理统计学”单一教学模式相比较,检验这种融合式教学模式的效果与质量。  相似文献   

3.
文章根据国内外管理专业统计学课程的教学发展趋势,构建了管理专业统计学课程"课堂讲授、实验教学、统计调查实践"三位一体的教学模式,并通过优化教学内容、加强实验教学、改革现有教学模式以及强化实践教学环节,加强学生应用统计理论、方法分析、解决实际问题能力的培养。  相似文献   

4.
本文以应用统计学专业为例分析大数据背景下行业人才需求驱动下的实践教学模式改革方案。应用统计学专业是与数据分析处理联系最为紧密的学科之一。大数据时代的到来不仅为统计学专业的发展带来了前所未有的机遇,同时也带来了巨大挑战。传统的统计学专业已不再适应大数据时代的信息爆发式增长的要求,这就要求我们应该对统计学专业进行重新定位。任何专业人才的培养方式都要顺应社会对人才的需求变化。本文计划从这一方面着手,首先收集近几年应用统计学专业的学生就业岗位信息,然后分析不同岗位群对应用统计学专业人才的需求与技术要求,最后根据统计分析结果设计实践教学模式并进行理论验证。  相似文献   

5.
为提高统计学课程的教学质量,构建了PBL双环互动教学法并将其应用于统计学的教学中,取得了较好的教学效果。本文对这种教学模式操作流程进行了详细阐述,分析了该模式的优势以及与传统教学方法的区别,揭示了该模式所蕴涵的教育理念,并指出该模式应用时需要注意的问题。  相似文献   

6.
独立学院经管类专业统计学教学中存在着重理论、轻实践等问题,统计学教学模式改革有利于独立学院应用型人才培养目标的实现,具有重要意义。独立学院经管类专业统计学课程教学模式改革要坚持以"应用"为主导和以"职业元素"为中介的人才教育理念。通过对当前统计学课程的教学内容、方法、手段和考核方式进行全方位的改革,以实现独立学院应用型人才培养目标。  相似文献   

7.
统计学是经济管理类的必修课程之一.设计好统计学的教学情景和将计算机信息技术与统计学教学高效结合是统计学教学模式改革与创新的重要内容.笔者结合在应用统计学教学过程中的实际体会和经验总结,阐述了情景教学和信息技术在高职<应用统计学>教学中的重要性.  相似文献   

8.
为评价网络教学在卫生统计学教学中的效果。整群抽取204名本科生作为网络教学组,并设置对照组,网络教学组实施网络教学模式,传统教学组实施传统教学模式,课程结束后评估教学效果,网络教学组接受网络教学问卷调查。网络教学组的理论成绩、实习成绩及总评成绩与传统教学组相比差异均有统计学意义,网络教学组的理论成绩、实习成绩及总评成绩较传统教学组高。网络教学组不同专业间差异理论成绩及总评成绩均无统计学意义,实习成绩不同专业间差异有统计学意义。调查结果显示,学生更喜欢网络教学模式。网络教学模式在卫生统计学教学中可行,且教学效果较好。  相似文献   

9.
在健康理念下,通过阐述中职食品营养课程中病例分析教学模式应用的积极意义,本文提出了病例分析教学模式的应用原则,介绍了病例分析教学模式的应用方式,分析了病例分析教学模式的应用效果,并讨论了病例分析教学模式的优化配置问题。  相似文献   

10.
统计学在经济管理类专业学生培养中的作用日益凸显,但目前课程教学仍局限于传统的填鸭式授课方式,有必要将实践式项目教学模式引入到统计学教学当中。为此,本文分析了统计学实践式项目教学的基本模式和步骤,并从教学内容优化和教学模式改革两个方面,提出了统计学实践式项目教学改革的思路和建议。  相似文献   

11.
Developing students' ability to interpret the vast amount of quantitative data they encounter on a daily basis has become a major task for today's educators. However, very little attention has been given to students' strategies of analyzing multivariate data. This study investigated how students interpret and analyze multivariate data organized in tables and the nature of external visual displays that they tend to create and use for this purpose. Ten middle school students were asked to think aloud while solving five problems demanding an analysis of data organized in tables. The students were then interviewed. Results indicated that (1) students based their conclusions on only part of the data; (2) students did not use either efficient or sufficient visual representations; (3) students did not apply mathematical operations efficiently; and (4) students referred to or built a context to the problem. The results of the current research may assist educators to design efficient curricula while being aware of and taking into account (1) students' difficulties in employing previously learned mathematical devices to analyze data, (2) students' skills in choosing appropriate and efficient visual representations to present and interpret the data, and (3) strategies employed by students in analyzing multivariate data.  相似文献   

12.
在分析化学实验中,评价学生的实验成绩,传统的方法是用教师预先所做的几个测量数据作为标准,这样给学生的数据评分是不完全合理的。文章以学生测定水的硬度实验为例,应用Matlab软件编制程序对学生的数据进行分析,能快速、简便、直观地绘制出相应学生实验数据分布的图形,这样就能客观、公正地评价学生的实验数据。  相似文献   

13.
As part of an overall evaluation of the Global Learning and Observations to Benefit the Environment, (GLOBE) program, we designed a Web-based assessment environment to measure students' environmental awareness and data analysis skill. It was expected that students who were identified as high implementers in the GLOBE program would outperform low implementers in their ability to construct environmental inferences and the degree to which they could analyze environmental data. Seven high and middle school classrooms were identified as either high or low GLOBE implementers depending on the amount of atmospheric data they had collected during the year. Within each classroom students were assigned into smaller learning groups of three students per group. A total of 32 groups participated in this study. Analysis of students' responses to the tasks revealed that the students differed in their performance. Overall, the results showed that students in the high implementing classrooms were more likely to construct higher-level environmental inferences than students in the low implementing classes. Contrary to expectations, middle school students were more likely than high school students to solve the data analysis problem correctly. However, upon further analyses, high school students constructed more data graphs and were more skilled in providing correct evidence to support their decision making than were middle school students in GLOBE. This study confirms the viability of using technology-based assessments for measuring students' environmental awareness and data analysis.  相似文献   

14.
In the context of an afterschool program in which students explore relatively large authentic datasets, we investigated how 11- to 14-year old students worked with categorical variables. During the program, students learned to use the Common Online Data Analysis Platform (CODAP), a statistical analysis platform specifically designed for middle and high school students, to create and interpret graphs. Following the program, we conducted individual clinical interviews, during which students used CODAP to answer questions about relationships between variables. Here, we describe how students engaged in exploratory data analysis that involved looking at relationships between two categorical variables. Students worked from data in table form and created “contingency graphs,” a variant of contingency tables, which they used to analyze and draw insights from the data. Our research identified four strategies that students used to examine the data in order to explore patterns, make comparisons, and answer questions with the data.  相似文献   

15.
Many researchers who are interested in studying students’ online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students’ SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students’ online SRL patterns with the use of data mining techniques. We examined both self-reported self-regulation surveys and log files to predict online students’ achievements and found using log files was more powerful in predicting students’ achievements in an online course than self-reported survey data. Discussions to enhance teaching and learning practices with the use of data mining are provided.  相似文献   

16.
17.
We use three data sources to build a rationale for why intensive interventions are necessary for students with pervasive reading disabilities: current data on the performance of students with disabilities on reading achievement measures over time, observation studies on students with reading disabilities in general and special education classrooms, and findings from intensive intervention studies for students with reading disabilities. Results of these data sources indicate that students with disabilities are not making progress in reading at the same rate as students without disabilities, reading instruction for students with reading disabilities is comprised of excessive amounts of low level tasks, and findings from intensive intervention studies suggest positive impacts for students with reading disabilities. We argue that students with reading disabilities require ongoing intensive interventions that are likely to require schools to change the contexts and practices for these students.  相似文献   

18.
充分利用学生相关信息,可以提高高职院校学生管理效率。针对高职院校学生的特点,通过分析数据挖掘的主要过程、功能和技术方法,提出了数据挖掘在高职院校学生信息管理中的应用方法,以期更好的完成对高职院校学生的管理工作。  相似文献   

19.
数据分析观念是统计与概率领域重点培养的核心素养之一。小学数学统计教学中,教师可以从学生数据分析的内在需求、数据分析所需要的基本统计量的理解等方面入手,通过开展探究性、生活性和选择性活动,让学生体会数据分析的价值,帮助学生用统计的眼光看待生活、用数据分析的策略解决问题,从而发展学生数据分析能力,提升学生核心素养。  相似文献   

20.
Technology has become affordable and available for science teachers of all grade levels. This study presents the results of collecting attitudinal data from over 240 ninth grade physical science students prior to the integration of technology into their science curriculum. The data were evaluated utilizing a probabilistic model, which corrects for the nonlinearity of rating scale responses. Results indicate that surveyed students, on average, were supportive of the integration of a wide range of technology into their classroom. Although students were generally positive, they were statistically more supportive of activities that involved the sending of electronic messages to other students when a comparison was made to their attitudes toward the collecting of data with computer probes. The results suggest that physical science teachers may want to initiate the integration of technology into classes by first requiring students to use electronic mail to share data collected without the aid of a computer. This activity could, in turn, be followed by labs that require the collecting of data with computer probes and subsequent sharing of that data with other students through electronic mail.  相似文献   

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