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2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)最新文献

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Digital Badge Revision: The Challenge of Handling Feedback 数字徽章修订:处理反馈的挑战
Thomas Fischer, Martin Stabauer
Digital badges could become a new staple to indicate skill attainment in the context of higher education. To stay relevant though, it is important that digital badges are revised regularly. We argue that this revision process might deviate from what we are used to in curriculum revision, mostly likely in terms of the required stakeholder involvement and the overall quantity of data that could be generated. We therefore advocate for the development of digital support technologies that will help to reduce the effort for all parties involved in this process and thus could foster the sustainable development of a badging ecosystem.
在高等教育的背景下,数字徽章可能成为表明技能成就的新标志。为了保持相关性,定期修改数字徽章是很重要的。我们认为,这个修订过程可能会偏离我们在课程修订中所习惯的,最可能的是在所需的利益相关者参与和可能产生的数据总量方面。因此,我们提倡开发数字支持技术,这将有助于减少参与这一进程的各方的努力,从而促进徽章生态系统的可持续发展。
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引用次数: 0
Design and Application of a Non-wrapped Programmable Logic Controller (PLC) Laboratory Kit for Automatic Control Education 自动控制教学用非包装可编程逻辑控制器(PLC)实验套件的设计与应用
Ying Wang, Xiaodong Ren, Zhou Jing, Mei Liu, Qinke Peng, Laiyi Fu
Programmable Logic Controller (PLC) is widely used in various fields and is an essential practical training for college engineering education. However, traditional PLC platform suffers from black box effect and low portability. In this study, a non-wrapped PLC laboratory kit is designed and tested for automatic control education. The laboratory kit is composed of PLC, man-machine interface, input and output elements, which are much more portable and flexible than elements of traditional PLC platform. The input elements mainly include buttons, encoder, temperature sensor, weight sensor and proximity switches, and the output elements are mainly indicator lights, lead screw slides driven by stepper motors, three-phase motor controlled by frequency converter, and electric heater controlled by solid-state relays, and servo motor. The basic practice projects, controlling practice projects, and innovative practice projects developed on the base of the laboratory kit can promote students’ practical ability and meet the teaching requirements of automatic control education. Moreover, the application of the laboratory kit could improve students’ wiring operation ability (overcoming black box effect that traditional PLC training brings), cultivate students’ design and problem-solving ability. The designed laboratory kit is intended for third-year students at Xi’an Jiaotong University.
可编程控制器(PLC)广泛应用于各个领域,是高校工程教育中必不可少的实训内容。然而,传统的PLC平台存在黑盒效应和低可移植性。在本研究中,设计并测试了用于自动控制教育的非包装PLC实验室套件。实验室套件由PLC、人机界面、输入输出元件组成,比传统PLC平台的元件便携、灵活得多。输入元件主要有按键、编码器、温度传感器、重量传感器、接近开关等,输出元件主要有指示灯、步进电机驱动的丝杠滑块、变频器控制的三相电机、固态继电器控制的电加热器、伺服电机等。以实验包为基础开发的基础实践项目、控制实践项目和创新实践项目,可以提高学生的实践能力,满足自动控制教育的教学要求。此外,实验套件的应用可以提高学生的布线操作能力(克服传统PLC培训带来的黑箱效应),培养学生的设计和解决问题的能力。设计的实验套件是为西安交通大学的三年级学生设计的。
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引用次数: 0
Facilitating Engineering Students’ Creativity And Teamwork Ethos Using Smart Learning Platforms During Covid-19 在2019冠状病毒病期间,利用智能学习平台培养工程专业学生的创造力和团队精神
B. Baruah, T. Ward
Covid-19 has brought some revolutionary changes in Higher Education with a shift from traditional face-to-face teaching and learning to online or hybrid-based delivery. There is a strong emphasis on the integration of technology and smart platforms to deliver an effective teaching and learning environment that can withstand the unpredictable challenges of the ongoing pandemic. But many researchers have noted a lack of social interaction and motivation among students in an online setting. Also, with limited face-to-face interactions, many students had issues with collaboration and other group-based activities. Now with the availability of pre-recorded lecture videos and course materials in several universities, there is a noticeable drop in student engagement. To retain and boost students’ motivation in the current complex environment, there is an added pressure among educators to create teaching content by utilizing smart and innovative teaching approaches that are efficient and effective. Smart learning platforms might offer the potential solutions to address some of the issues with the changing landscape of teaching and learning due to the pandemic. Such platforms are versatile and therefore, can work seamlessly across in-person and virtual teaching and learning environments. They can provide an interactive platform to facilitate active learning and the quality of teamwork experience among students. The objective of this paper is to explore the effectiveness of some of the smart teaching-learning platforms used in the MSc Engineering Management programme in the School of Physics, Engineering and Technology at the University of York. A survey was conducted among the cohort from this programme in the Summer of 2021 to review their engagement and experiences with these platforms. Can such smart platforms facilitate creativity and improve teamwork ethos among students? The paper will discuss the findings of this study and also highlight if such approaches can transform the educational setting post Covid-19.
新冠肺炎疫情给高等教育带来了一些革命性的变化,从传统的面对面教学转向在线或混合授课。重点强调技术和智能平台的整合,以提供有效的教学环境,能够抵御当前大流行带来的不可预测的挑战。但许多研究人员注意到,学生在网络环境中缺乏社交互动和动力。此外,由于面对面的交流有限,许多学生在合作和其他以小组为基础的活动方面存在问题。现在,随着几所大学提供预先录制的讲座视频和课程材料,学生的参与度明显下降。为了在当前复杂的环境中保持和提高学生的学习动机,教育工作者面临着更大的压力,他们需要利用高效、智能和创新的教学方法来创造教学内容。智能学习平台可能提供潜在的解决方案,以解决由于大流行而不断变化的教学环境所带来的一些问题。这些平台是通用的,因此可以在面对面和虚拟教学环境中无缝工作。他们可以提供一个互动平台,促进学生的主动学习和团队合作体验的质量。本文的目的是探讨约克大学物理、工程与技术学院工程管理硕士课程中使用的一些智能教学平台的有效性。我们于2021年夏季对该项目的学员进行了一项调查,以评估他们在这些平台上的参与情况和经验。这样的智能平台能促进学生的创造力和团队精神吗?本文将讨论这项研究的结果,并强调这些方法是否可以改变Covid-19后的教育环境。
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引用次数: 0
Data Analysis of Student Academic Performance Using Social and Academic Indicators 使用社会和学术指标的学生学习成绩数据分析
Mariam Ezziani, Salima Benhayoun, Yousra Chtouki
Data analysis has become one of the most important emerging fields. This is due to the wide usefulness of this discipline in improving and enhancing many other arenas. Whether in industry, commerce, economy, psychology, or education, data analysis has proven its efficiency in providing users with valuable results to increase their level of achievement. The ability to effectively manage information and extract knowledge is now seen as a key competitive advantage for organizations. [1] Valuable knowledge could easily be extracted with the use of data analysis to develop every sector of every world economy [2]. In this paper, we have combined a set of data in the educational field with some computational, statistical, or analytical techniques to draw interesting conclusions. Based on data from Al Akhawayn University in Ifrane AUI, this paper analyzes and predicts the distribution of students by schools and majors, the variance in their GPAs based on different criteria, and predicts the GPAs (Grade Point Average) of next years’ students. In this regard, the hypotheses that the study tackles as a basis for the analysis are as follows:•Students are more interested in engineering majors than social Sciences•Female students are more academically achieving compared to their male peers•Female students have better academic conduct•Next years’ students are more likely to have better average GPAs
数据分析已成为最重要的新兴领域之一。这是由于这门学科在改进和加强许多其他领域的广泛用途。无论是在工业、商业、经济、心理学还是教育领域,数据分析已经证明了它在为用户提供有价值的结果以提高他们的成就水平方面的效率。有效管理信息和提取知识的能力现在被视为组织的关键竞争优势。[1]利用数据分析可以很容易地提取有价值的知识,以发展世界经济的每个部门bbb。在本文中,我们将教育领域的一组数据与一些计算、统计或分析技术相结合,得出了有趣的结论。本文基于法国阿卡瓦恩大学(Al Akhawayn University in france AUI)的数据,分析和预测了学生按学校和专业的分布情况,以及不同标准下学生gpa的差异,并预测了下一年学生的gpa (Grade Point Average)。在这方面,该研究作为分析基础的假设如下:•学生对工程专业比社会科学专业更感兴趣•女学生比男学生更有学术成就•女学生有更好的学术行为•明年的学生更有可能有更好的平均绩点
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引用次数: 0
The Initial Development and Practice of Training Materials Using 3D Printer to Employment Support for Inclusive Society 利用3D打印机支持包容性社会就业培训教材的初步开发与实践
Akemi Emoto, Kanata Soeda
In Japan, in the field of employment of person of with disabilities, the number of employments is increasing but still there is a problem that there are only a few employment types and industries. [1] In real time, COVID-19 infection control measures in addition to the use of ICT have accelerated new work styles. Also, 3D printers are creating new designs and manufacturing styles. [2], [3] Based on these, the purpose of this research is to develop the training materials so that person with disabilities can become operator of 3D printer and get the work. Finally, the use of it might make inclusive society. The research method is to develop training material and then conduct experiments to use it to verify the training effect. The training material is a video format consisting of slides and audio that can replay and stop by learners. Also, the training content is a basic knowledge of 3D printers and actual modeling operations. In the experiments, learners use the material and make a model and then they answered the questionnaire survey. As a result, by the cross tabulation of the frequency of reviewing the manual and the feeling about the speed of the manual was demonstrated that the speed of manual, contents and understanding of explanation are appropriate without the extreme repetition. In conclusion, it was found that manuals with video and audio were easier to understand in those icons could be shown when necessary. However, there are problems that it would not be possible to respond flexibly in the case of an operation error and in the case of lengthy process.
在日本,在残疾人就业领域,就业人数在不断增加,但仍然存在就业类型和行业较少的问题。[1]在实时情况下,COVID-19感染控制措施以及信息通信技术的使用加速了新的工作方式。此外,3D打印机正在创造新的设计和制造风格。[2],[3]基于这些,本研究的目的是开发培训材料,使残疾人成为3D打印机的操作员并获得工作。最后,它的使用可能会形成一个包容的社会。研究方法是先开发训练材料,然后进行实验,用它来验证训练效果。培训材料是由幻灯片和音频组成的视频格式,学习者可以重放和停止。此外,培训内容是3D打印机的基础知识和实际建模操作。在实验中,学习者使用材料制作模型,然后回答问卷调查。结果,通过对阅览手册的频率和对手册阅读速度的感受进行交叉表列,证明了手册的阅读速度、内容和对讲解的理解是合适的,没有极端的重复。最后,发现有视频和音频的手册更容易理解,必要时可以显示这些图标。但是,也存在一些问题,即在出现操作错误和过程冗长的情况下,不可能灵活地作出反应。
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引用次数: 0
Privacy Preservation in eLearning: Exploration and Analysis 网络学习中的隐私保护:探索与分析
M. Ivanova, Iskra Trifonova, G. Bogdanova
Nowadays, a big amount of data is collected in eLearning environments, tracking students’ behavior and their performance of learning activities. Also, a part of educational data is used by third parties for statistical or research purposes. In many cases, the datasets are transferred and processed without any techniques for students’ identity protection and there are possibilities after attacks private and sensitive data to be revealed. The aim of the paper is to present the results from conducted explorations and analysis about applying privacy preserving algorithms k-anonymity and ($varepsilon,delta$)-differential privacy on data, collected in eLearning environment. The balance between students’ privacy protection and usefulness of output information is discussed considering several privacy parameters. Machine learning is used to predict the most suitable privacy models and in this way to support the decision making of data holder/owner.
如今,在电子学习环境中收集了大量的数据,跟踪学生的行为和他们在学习活动中的表现。此外,教育数据的一部分被第三方用于统计或研究目的。在许多情况下,数据集的传输和处理没有任何学生身份保护的技术,并且在攻击后有可能泄露私人和敏感数据。本文的目的是介绍对在电子学习环境中收集的数据应用隐私保护算法k-匿名和($varepsilon,delta$)-差分隐私进行探索和分析的结果。考虑几个隐私参数,讨论了学生隐私保护与输出信息有用性之间的平衡。机器学习用于预测最合适的隐私模型,并以这种方式支持数据持有人/所有者的决策。
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引用次数: 2
ITHET 2022 Cover Page ITHET 2022封面页
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引用次数: 0
Systematic Review of the published Explainable Educational Recommendation Systems 对已发表的可解释教育推荐系统的系统评价
Ivica Pesovski, A. Bogdanova, V. Trajkovik
The goal of this paper is to systematically review the available literature on the topic of explainable recommendation systems in education, especially when recommendation systems are integrated as a part of learning management systems (LMS). The focus years for analyzing available literature are the years between 2010 and 2022, period when online learning is expanding and online learning platforms are continuously being developed, which makes these years relevant for scoping this review. The topic of interest in this research are recommendation algorithms whose results can be explained and interpreted. The first part of the methodology used in the paper utilizes an NLP-powered toolkit that automates a big part of the review process by automatically analyzing articles indexed in the IEEE Xplore, PubMed, Springer, Elsevier and MDPI digital libraries. The toolkit relies on the PRISMA methodology for standardizing systematic reviews. First, a quantitative analysis of all available literature is performed, followed by a qualitative analysis of the few selected articles which indeed focus on the explainability when implementing recommendation systems in educational context. The relevant articles are analyzed in detail and compared on multiple indicators like the field of work, tools and techniques used, and how explainability is achieved. The results show that although the amount of available research is growing and new learning management systems are being developed at a fast pace in the last few years, the explainability of the machine learning techniques used in the recommendation systems is not a popular topic among the researchers and developers with research interest in educational context. The amount of the available literature for explainable recommendation systems in educational environment is scarce, but is expected to grow following the global trend of explainable artificial intelligence $(mathrm{x}mathrm{A}mathrm{I})$ as key technique for practical implementation of advanced AI models.
本文的目的是系统地回顾现有的关于教育中可解释推荐系统的文献,特别是当推荐系统被集成为学习管理系统(LMS)的一部分时。分析现有文献的重点年份是2010年至2022年,这一时期在线学习正在扩大,在线学习平台正在不断发展,这使得这些年份与本综述的范围相关。本研究感兴趣的主题是推荐算法,其结果可以被解释和解释。论文中使用的方法的第一部分利用了一个nlp驱动的工具包,通过自动分析在IEEE Xplore、PubMed、Springer、Elsevier和MDPI数字图书馆中索引的文章,使审查过程的大部分自动化。该工具包依赖于PRISMA方法来标准化系统审查。首先,对所有可用文献进行定量分析,然后对少数选定的文章进行定性分析,这些文章确实侧重于在教育背景下实施推荐系统时的可解释性。对相关文章进行了详细的分析,并在工作领域、使用的工具和技术以及如何实现可解释性等多个指标上进行了比较。结果表明,尽管在过去几年中,可用的研究数量正在增长,新的学习管理系统正在快速开发,但推荐系统中使用的机器学习技术的可解释性并不是研究人员和开发人员对教育背景研究感兴趣的热门话题。教育环境中可解释推荐系统的可用文献数量很少,但随着可解释人工智能$( mathm {x} mathm {A} mathm {I})$作为高级人工智能模型实际实施的关键技术的全球趋势,预计将会增长。
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引用次数: 0
Interdisciplinary Cyber Training 跨学科网络培训
I. Hamburg
Research and practices about cybersecurity require an interdisciplinary view, necessity for more cybersecurity professionals as well as workforce with interdisciplinary knowledge. Courses with interdisciplinary themes should be developed in education institutions and interdisciplinary cybersecurity training should be organized in companies in order to avoid cyber-attacks. An interdisciplinary approach in education and training assures insight from many areas and provides a real basis for understanding cybersecurity. One important issue is the development of critical thinking skills to face the global challenges of this century, to take right decisions in everyday work and life. This paper describes shortly the importance of interdisciplinary view of cyber security and of critical thinking in education and training and gives as example the project InCyT. The team project develops and tests a digitally supported interdisciplinary training program to develop also critical thinking, a collaborative digital learning platform for small and medium sized companies (SMEs) and an adapted version for VET. SMEs in particular are objectives for criminal activities also due less knowledge about cybersecurity measures and about connections with other disciplines. SMEs resources are limited, so they need help.
网络安全的研究和实践需要一个跨学科的视角,需要更多的网络安全专业人员以及具有跨学科知识的劳动力。教育机构应开设跨学科主题的课程,企业应组织跨学科的网络安全培训,以避免网络攻击。教育和培训的跨学科方法确保了来自许多领域的洞察力,并为理解网络安全提供了真正的基础。一个重要的问题是培养批判性思维技能,以面对本世纪的全球挑战,在日常工作和生活中做出正确的决定。本文简要介绍了跨学科的网络安全观点和批判性思维在教育和培训中的重要性,并以InCyT项目为例。该团队项目开发并测试了一个数字支持的跨学科培训计划,以培养批判性思维,一个面向中小型企业(sme)的协作数字学习平台,以及一个针对职业教育培训的改编版本。中小企业尤其容易成为犯罪活动的目标,因为它们对网络安全措施以及与其他学科的联系了解较少。中小企业资源有限,需要帮助。
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引用次数: 0
Higher education strategy in engineering to meet global technical challenges 高等工程教育应对全球技术挑战的策略
O. Bonnaud
The strategy of teaching electrical engineering applied to microelectronics is undergoing a very strong evolution combining the development of the Internet and thus the globalization of digital technology and the experience of the pandemic on distance learning approaches. On the one hand, the meteoric development of digital technology is creating new challenges related to the saturation of data transfer networks and the associated consumption of electrical energy, which are growing exponentially. On the other hand, the use of digital technology in applied sciences during the pandemic has proven to be almost ineffective. The future engineers need knowledge and know-how in order to be efficient and innovative. This document deals in a first part with the technical and scientific needs applied to microelectronics and in a second part with the training strategy and the pedagogical approach which must imperatively optimize the use of digital technology by promoting well targeted actions.. These experiments were conducted within the French national microelectronics network, which includes 12 inter-university centers and covers all the specialties in the field, and which made it possible to test the interest and effectiveness of different approaches. (Abstract)
应用于微电子学的电气工程教学战略,结合互联网的发展和数字技术的全球化,以及疫情大流行对远程学习方法的经验,正在经历一场非常强劲的演变。一方面,数字技术的飞速发展带来了与数据传输网络饱和和相关的电能消耗相关的新挑战,这些挑战正呈指数级增长。另一方面,事实证明,大流行期间在应用科学领域使用数字技术几乎是无效的。未来的工程师需要知识和技能,以提高效率和创新能力。本文件第一部分涉及应用于微电子学的技术和科学需求,第二部分涉及培训战略和教学方法,必须通过促进有针对性的行动来迫切地优化数字技术的使用。这些实验是在法国国家微电子网络内进行的,该网络包括12个大学间中心,涵盖该领域的所有专业,这使得测试不同方法的兴趣和有效性成为可能。(抽象)
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引用次数: 0
期刊
2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)
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