面向机械设计课程的MOOCs教学平台的可用性评价研究

发布时间：2019-02-24 19:43

【摘要】：MOOCs(Massive Open Online Courses,大规模开放在线课程)就是教育与信息化领域密切融合的产物。教育模式与信息化的密切融合催生出了与之相适应的教育新模式。作为衡量这一新型教育模式的重要质量指标,网络教学平台可用性试图从用户的角度出发,衡量使用网络教学平台的有效性、效率和满意程度。本文在应用可拓学进行评价的基础上,以哈尔滨工业大学网络课程服务平台上的《机械设计》课程为例,探讨MOOCs教学平台可用性的评价方法,通过建立MOOCs教学平台可用性评价体系、可用性指标量化和可拓学综合评价模型得出哈尔滨工业大学网络课程服务平台上的《机械设计》课程的网络教学平台可用性等级并加以验证。通过对目前典型的MOOCs平台及其用户群体进行分析研究,分析出目前MOOCs的主要特点和主要用户群体,并对《机械设计》的教学目标、内容以及模式进行细致分析。然后以有关网站可用性的研究为依据,与教学目标相结合,分析影响MOOCs教学平台可用性的主要因素。进而总结出内容、界面及情感体验三方面的可用性影响因素,总结分析把可用性的主要因素转化为MOOCs教学平台可用性的评价指标,建立MOOCs教学平台可用性评价体系。从而为指标的量化和可拓学评价提供框架支撑。以内容、界面和情感三个体验维度作为MOOCs教学平台可用性度量的指标,以《机械设计》课程的《齿轮传动》章节为例,设计采取不同的指标量化实验方案采集数据、量化指标。实验采用主观评分法,通过专家评分量化内容体验维度的子指标;采取绩效度量法,设计试验流程,量化界面体验维度的子指标;采取自我报告的方法,通过设计自我报告的实验问卷量化情感体验维度的子指标,从而将感性抽象的主观体验转变成可以具体的客观数据,作为可拓评价的量化输入数值。以可拓理论为依据,通过对物元、关联函数的确立,构建可拓评价模型。应用层次分析法计算专家评判的指标权重,从而确定各项指标的最终权重。以应用哈工大网络课程服务平台上的《机械设计》课程进行量化实验而获得的各项指标的量化数据作为输入,应用可拓模型计算各项指标的关联度,对MOOCs教学平台可用性进行等级评价。并结合基于灰色证据理论的综合评价结果进行验证,结果表明基于可拓学的评价方法可以有效直接的评价MOOCs教学平台的可用性。该方法不仅可以计算出MOOCs教学平台可用性的具体等级,还能够通过计算结果分析出可用性较优指标和可用性较差指标,为优化网络教学平台提供较为准确的指导。
[Abstract]:MOOCs (Massive Open Online Courses, large-scale open online course) is the product of the close integration of the field of education and information technology. The close amalgamation of educational model and information has given birth to a new educational model. As an important quality index to measure this new education model, the usability of the web-based teaching platform attempts to measure the effectiveness, efficiency and satisfaction of using the web-based teaching platform from the user's point of view. Based on the application of extension, this paper takes the course "Mechanical Design" on the web course service platform of Harbin University of Technology as an example to discuss the method of evaluating the usability of MOOCs teaching platform. Through the establishment of MOOCs teaching platform usability evaluation system, The usability index quantification and extenics comprehensive evaluation model obtained the usability grade of the network teaching platform of "Mechanical Design" course on the network course service platform of Harbin University of Technology and verified it. By analyzing the typical MOOCs platform and its user group, the main characteristics and main user groups of MOOCs are analyzed, and the teaching objectives, contents and models of Mechanical Design are analyzed in detail. Based on the research on the usability of MOOCs teaching platform, the main factors affecting the usability of MOOCs teaching platform are analyzed. And then summarizes the usability factors of content, interface and emotional experience, summarizes and analyzes the main usability factors into the usability evaluation index of MOOCs teaching platform, and establishes the usability evaluation system of MOOCs teaching platform. Therefore, it provides the frame support for the quantification and extension evaluation of the index. Three dimensions of experience, content, interface and emotion are taken as the indicators of usability measurement of MOOCs teaching platform. Taking the "Gear Drive" chapter of the course of Mechanical Design as an example, different index quantitative experimental schemes are adopted to collect data and quantify the indicators. The experiment adopts the subjective scoring method, quantifies the sub-index of the content experience dimension through the expert score, adopts the performance measure method, designs the experiment flow, quantifies the sub-index of the interface experience dimension. By designing a self-report questionnaire to quantify the subindexes of emotional experience dimension, the subjective experience of perceptual abstraction can be transformed into concrete objective data, which can be used as the quantitative input value of extension evaluation. On the basis of extension theory, the extension evaluation model is constructed through the establishment of matter-element and correlation function. Analytic hierarchy process (AHP) is used to calculate the index weight of expert evaluation, so as to determine the final weight of each index. Taking the quantitative data obtained from the quantitative experiment of mechanical design course on the network course service platform of Harbin Polytechnic University as the input, the correlation degree of each index is calculated by using the extension model. The usability of MOOCs teaching platform is evaluated. Combined with the comprehensive evaluation results based on grey evidence theory, the results show that the extension based evaluation method can effectively and directly evaluate the usability of MOOCs teaching platform. This method can not only calculate the concrete grade of the usability of MOOCs teaching platform, but also analyze the better and worse usability index through the result of calculation, and provide more accurate guidance for optimizing the network teaching platform.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH122-4;G434

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