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Blockchain-Based Decentralized Authentication Model for IoT-Based E-learning and educational environments

Computers, Materials & Continua 2023年第5期75卷 3133-3158页

作者： Osama A.Khashan Sultan Alamri Waleed Alomoush Mutasem K.Alsmadi Samer Atawneh Usama Mir Research and Innovation Centers Rabdan AcademyP.O.Box 114646Abu DhabiUnited Arab Emirates College of Computing and Informatics Saudi Electronic UniversityRiyadh13316Saudi Arabia School of Information Technology Skyline University CollegeP.O.Box 1797SharjahUnited Arab Emirates Department of MIS College of Applied Studies and Community ServicesImam Abdulrahman Bin Faisal UniversityP.O.Box 1982DammamSaudi Arabia Department of Computer Science University of WindsorWindsorN9J3Y1Canada

In recent times,technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners.Integrating the Internet of Things(IoT)into education can facilitate the teaching and learning process and expand the context in which students learn.Nevertheless,learning data is very sensitive and must be protected when transmitted over the network or stored in data centers.Moreover,the identity and the authenticity of interacting students,instructors,and staff need to be verified to mitigate the impact of attacks.However,most of the current security and authentication schemes are centralized,relying on trusted third-party cloud servers,to facilitate continuous secure communication.In addition,most of these schemes are resourceintensive;thus,security and efficiency issues arise when heterogeneous and resource-limited IoT devices are being used.In this paper,we propose a blockchain-based architecture that accurately identifies and authenticates learners and their IoT devices in a decentralized manner and prevents the unauthorized modification of stored learning records in a distributed university network.It allows students and instructors to easily migrate to and join multiple universities within the network using their identity without the need for user re-authentication.The proposed architecture was tested using a simulation tool,and measured to evaluate its performance.The simulation results demonstrate the ability of the proposed architecture to significantly increase the throughput of learning transactions(40%),reduce the communication overhead and response time(26%),improve authentication efficiency(27%),and reduce the IoT power consumption(35%)compared to the centralized authentication mechanisms.In addition,the security analysis proves the effectiveness of the proposed architecture in resisting various attacks and ensuring the security requirements of learning data in the university network.

关键词： Blockchain decentralized authentication Internet of Things(IoT) E-learning IoT security

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Student Behavior Modeling for an E-learning System Offering Personalized learning experiences

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Computer Systems Science & engineering 2022年第3期40卷 1127-1144页

作者： K.Abhirami M.K.Kavitha Devi Department of Computer Science and engineering Kings College of EngineeringPudukkottai613303India Department of Computer Science and engineering Thiagarajar College of EngineeringMadurai625015India

With the advent of computing and communication technologies,it has become possible for a learner to expand his or her knowledge irrespective of the place and time.Web-based learning promotes active and independent learning.Large scale E-learning platforms revolutionized the concept of studying and it also paved the way for innovative and effective teaching-learning process.This digital learning improves the quality of teaching and also promotes educational equity.However,the challenges in E-learning platforms include dissimilarities in learner’s ability and needs,lack of student motivation towards learning activities and provision for adaptive learning environment.The quality of learning can be enhanced by analyzing the online learner’s behavioral characteristics and their application of intelligent instructional strategy.It is not possible to identify the difficulties faced during the process through evaluation after the completion of E-learning course.It is thus essential for an E-learning system to include component offering adaptive control of learning and maintain user’s interest level.In this research work,a framework is proposed to analyze the behavior of online learners and motivate the students towards the learning process accordingly so as to increase the rate of learner’s objective attainment.Catering to the demands of e-learner,an intelligent model is presented in this study for E-learning system that apply supervised machine learning algorithm.An adaptive E-learning system suits every category of learner,improves the learner’s performance and paves way for offering personalized learning experiences.

关键词： Learner behavior modeling E-learning intelligent learning system machine learning algorithm

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人工智能赋能个性化学习:E-learning推荐系统研究热点与展望

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现代远程教育研究 2022年第3期34卷 15-23,57页

作者：谢浩然陈协玲郑国城王富利岭南大学电脑及决策科学学系中国香港999077 中国香港教育大学数学与信息科技学系中国香港999077 中国香港都会大学科技学院中国香港999077

E-learning领域的推荐系统在满足学习者个性化学习需求方面发挥着重要作用。近年来,国际上围绕E-learning推荐系统开展的研究迅速增多。采用文献计量分析方法对该领域的研究进行系统分析,有助于为E-learning推荐系统的高水平研究和高质... 详细信息

E-learning领域的推荐系统在满足学习者个性化学习需求方面发挥着重要作用。近年来,国际上围绕E-learning推荐系统开展的研究迅速增多。采用文献计量分析方法对该领域的研究进行系统分析,有助于为E-learning推荐系统的高水平研究和高质量应用提供镜鉴。综括而言,当前国际E-learning领域的推荐系统研究热点及其演变趋势集中体现在6个方面:一是融合多种技术优势的混合推荐日益受到重视且逐渐成为主流。二是伴随技术支持下群体学习的多元发展,个性化推荐由关注个体推荐逐步转向关注群体推荐。三是随着大规模开放在线课程的流行,个性化推荐逐步突破小规模而面向大规模学习者群体,重视通过对海量学习资源和过程数据的搜集和挖掘而提供个性化推荐。四是从心理学层面关注学习者情绪变化,并据此构建上下文推荐系统,通过优化调整推荐内容不断促进学习者高效完成学习任务。五是在推荐功能上更加强调学习模型构建,重视提升学习者的深层次认知能力和促进有效学习。六是在先进技术的支持上,个性化推荐系统强调引入深度学习技术,不断优化其表征能力、融合效率和推荐效果。

关键词： E-learning 个性化推荐系统个性化学习人工智能研究热点

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effect of E-learning on Public Health and environment During COVID-19 Lockdown

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Big Data Mining and Analytics 2021年第2期4卷 104-115页

作者： Avani Agarwal Sahil Sharma Vijay Kumar Manjit Kaur Department of Computer Science Thapar Institute of Engineering and TechnologyPatiala 147001India Department of Computer Science and engineering National Institute of TechnologyHamirpurHimachal Pradesh 177005India Department of Computer Science engineering School of Engineering and Applied SciencesBennett UniversityGreater Noida 201310India

E-learning is the most promising venture in the entire world. During the COVID-19 lockdown, E-learning is successfully providing potential information to the students and researchers. In developing nations like India, with limited resources, E-learning tools and platforms provide a chance to make education available to middle and low income households. This paper gives insights about three different online services, namely Google Classroom,Zoom, and Microsoft Teams being used by three different educational institutions. We aim to analyze the efficiency and acceptability of E-learning tools among Indian students during the COVID-19 lockdown. The paper also aims to evaluate the impact of E-learning on the environment and public health during COVID-19 lockdown. It is found that E-learning has potential to reduce carbon emissions, which has beneficial impact on the environment. However, the mental health is impacted as E-learning may lead to self-isolation and reduction in academic achievements that may lead to anxiety and mental depression. Due to usage of electronic devices for learning, the eyes and neck muscles may be put in strain, having deleterious effects on physical health.

关键词： E-learning environment health COVID-19

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E-learning助推临床微生物教学数字化转型

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中国微生态学杂志 2023年第12期35卷 1454-1456,1460页

作者：李士军王欣雨张丽娜王楠大连医科大学附属第一医院检验科辽宁大连116023 大连医科大学大连医科大学附属第一医院放射科

由于医学知识的快速增加、新病原体的出现、新传染病的产生和新耐药机制的形成,在临床微生物学领域具有学习和应用能力并不断提升是一项不容忽视的挑战。E-learning是一种教学方法,它基于使用电子媒体和设备作为工具,以改善获得培训、... 详细信息

由于医学知识的快速增加、新病原体的出现、新传染病的产生和新耐药机制的形成,在临床微生物学领域具有学习和应用能力并不断提升是一项不容忽视的挑战。E-learning是一种教学方法,它基于使用电子媒体和设备作为工具,以改善获得培训、交流和互动的机会,并促进学生适应新的知识和技能。在临床微生物学教学和培训中E-learning可以提供更高效灵活的模式来满足教育需求。E-learning为教育工作者提供了新的角色,在数字技术的帮助下设计和促进更好的学习体验,引导学生正确掌握临床微生物学的电子资源,促进了理论和实践差距的缩小。作为一种E-learning的新方法,虚拟实验室通过重新激活和场景模拟提供了更广泛有效的学习平台。多平台整合教育资源,让学生更容易理解和掌握日新月异的医学知识,促进临床微生物教学观念转换、数字化转型和教学模式改革。

关键词： E-learning 临床微生物学虚拟实验室

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E-learning环境下天文科普教学模式研究

E-Learning环境下天文科普教学模式研究

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作者：钟迪雅杭州师范大学

学位级别：硕士

提升全民科学素质是国家战略要求,科普教育是提升全民科学素养的重要途径。随着教育信息化的不断深化,运用现代信息技术,采用E-learning方式是当下开展科普教育较为高效的方法之一。本研究以天文科普为切入点,结合相关教育原理,构建了... 详细信息

提升全民科学素质是国家战略要求,科普教育是提升全民科学素养的重要途径。随着教育信息化的不断深化,运用现代信息技术,采用E-learning方式是当下开展科普教育较为高效的方法之一。本研究以天文科普为切入点,结合相关教育原理,构建了一种基于网络的科普教学模式,并通过教学实践检验该模式的有效性,为科普教育提供一种可参考的途径。结合文献调研、问卷调查、访谈、行动、对照组实验等多种方法,笔者对本课题开展了近2年的研究,主要获得了以下成果:(1)对网络教学模式和天文科普教育现状进行了大量的文献调研,并梳理了本研究所涉及的关键概念和相关教育理论。(2)对本地的网络天文科普现状进行了调研,并通过现状与需求分析确定了本研究开展的天文科普的教学目标。(3)基于新建构主义学习理论、认知负荷理论和成就目标理论,参考现有教学模式研究成果,构建了应用于网络天文科普的“三阶段”教学模式,并进一步明确了各阶段的教师和学生的角色与任务。(4)参照“三阶段”教学模式,设计了对照组实验,以8年级的学生为对象开展了教学实践。(5)梳理并重新编制了教学评价工具,结合问卷调研和访谈法,从知识、态度、能力等多个维度对教学实践成效进行了评价。评价结果显示:本次教学对学生的天文知识水平和天文学习态度两方面均产生了显著的积极影响,学生的自主学习能力也得到了较好的锻炼。(6)最后基于研究结论,提出了一些网络科普教育的策略建议,为从事科普教学的教师提供一定参考。

关键词： E-learning 天文科普网络科普 “三阶段”教学模式

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Machine learning enabled e-Learner Non-Verbal Behavior Detection in IoT environment

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Computers, Materials & Continua 2022年第7期72卷 679-693页

作者： Abdelzahir Abdelmaboud Fahd N.Al-Wesabi Mesfer Al Duhayyim Taiseer Abdalla elfadil eisa Manar Ahmed Hamza Mohammed Rizwanullah Abu Serwar Zamani Radwa Marzouk Department of Information Systems College of Science and ArtsKing Khalid UniversityMahayil AsirSaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems College of Science and Arts-Girls SectionKing Khalid UniversityMahayil AsirSaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia&Department of MathematicsFaculty of ScienceCairo UniversityGiza12613Egypt

Internet of Things(IoT)with E-learning is widely employed to collect data from various smart devices and share it with other ones for efficient E-learning applications.At the same time,machine learning(ML)and data mining approaches are presented for accomplishing prediction and classification processes.With this motivation,this study focuses on the design of intelligent machine learning enabled e-learner non-verbal behaviour detection(IML-eLNVBD)in IoT environment.The proposed IML-eLNVBD technique allows the IoT devices such as audio sensors,cameras,etc.which are then connected to the cloud server for further processing.In addition,the modelling and extraction of behaviour take place.Moreover,extreme learning machine sparse autoencoder(eLM-SAe)model is employed for the detection and classification of non-verbal behaviour.Finally,the Ant Colony Optimization(ACO)algorithm is utilized to properly tune the weight and bias parameters involved in the eLM-SAe model.In order to ensure the improved performance of the IML-eLNVBD model,a comprehensive simulation analysis is carried out and the results highlighted the betterment compared to the recent models.

关键词： Internet of things E-learning machine learning non-verbal behavior extreme learning machine classification parameter tuning

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Real Objects Understanding Using 3D Haptic Virtual Reality for E-learning education

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Computers, Materials & Continua 2023年第1期74卷 1607-1624页

作者： Samia Allaoua Chelloug Hamid Ashfaq Suliman A.Alsuhibany Mohammad Shorfuzzaman Abdulmajeed Alsufyani Ahmad Jalal Jeongmin Park Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

In the past two decades,there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification.Themajor research areas of this field include object detection and object recognition.Moreover,wireless communication technologies are presently adopted and they have impacted the way of education that has been changed.There are different phases of changes in the traditional system.Perception of three-dimensional(3D)from two-dimensional(2D)image is one of the demanding tasks.Because human can easily perceive but making 3D using software will take time manually.Firstly,the blackboard has been replaced by projectors and other digital screens so such that people can understand the concept better through visualization.Secondly,the computer labs in schools are now more common than ever.Thirdly,online classes have become a reality.However,transferring to online education or E-learning is not without challenges.Therefore,we propose a method for improving the efficiency of E-learning.Our proposed system consists of twoand-a-half dimensional(2.5D)features extraction using machine learning and image processing.Then,these features are utilized to generate 3D mesh using ellipsoidal deformation method.After that,3D bounding box estimation is applied.Our results show that there is a need to move to 3D virtual reality(VR)with haptic sensors in the field of E-learning for a better understanding of real-world objects.Thus,people will have more information as compared to the traditional or simple online education tools.We compare our result with the ShapeNet dataset to check the accuracy of our proposed method.Our proposed system achieved an accuracy of 90.77%on plane class,85.72%on chair class,and car class have 72.14%.Mean accuracy of our method is 70.89%.

关键词： Artificial intelligence E-learning online education system computer vision virtual reality 3D haptic

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汽车产品协同开发的E-learning行为演化的模拟

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汽车工程 2012年第7期34卷 657-662,632页

作者：徐雯霞吴冰刘仲英同济大学经济与管理学院上海200092

首先从个体和群体特征两方面分析汽车产品协同开发的E-learning行为的影响因素;接着根据组织行为学相关理论,将参与汽车产品协同开发E-learning的员工个体特征与企业群体特征视为相互影响的动态过程,建立适应动态变化模拟的状态变量和... 详细信息

首先从个体和群体特征两方面分析汽车产品协同开发的E-learning行为的影响因素;接着根据组织行为学相关理论,将参与汽车产品协同开发E-learning的员工个体特征与企业群体特征视为相互影响的动态过程,建立适应动态变化模拟的状态变量和作用规则。最后,采用C++语言编写模拟程序,并通过举例进行有效性验证。结果表明,所开发的程序能够表达互动行为的模型,和模拟不同状态下参与汽车产品协同开发E-learning员工的行为演化。

关键词：汽车产品协同开发 E-learning 行为演化模拟

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E-learning与PBL联合教学法应用于老年病科本科医学生临床带教中的研究

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中文科技期刊数据库（全文版）医药卫生 2023年第8期 0046-0049页

作者：魏睿重庆市九龙坡区中医院老年病科重庆400050

探索E-learning与PBL联合教学法应用于老年病科本科医学生临床带教中的效果。方法将到我科的本科实习生60人分为三组。PBL组20人,实施PBL临床带教方法,E-learning组20人,实施E-learning带教方法,联合组20人,实施PBL联合E-learning带教... 详细信息

探索E-learning与PBL联合教学法应用于老年病科本科医学生临床带教中的效果。方法将到我科的本科实习生60人分为三组。PBL组20人,实施PBL临床带教方法,E-learning组20人,实施E-learning带教方法,联合组20人,实施PBL联合E-learning带教方法,总共实施1个月的临床带教。对比三组学生入科和出科的考试成绩,以及出科时的实习生临床带教问卷量表得分结果。结果联合带教组学生的出科考试成绩显著高于PBL组和E-learning组。在临床带教问卷量表方面,联合带教组在带教质量、带教满意度、带教接受度方面的得分均显著高于PBL组和E-learning组。结论 E-learning与PBL联合教学法能显著提高老年病科本科实习生的带教成绩。

关键词： PBL教学 E-learning 老年病科

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