基于Android平台的《管理信息系统》移动学习课程开发

随着智能手机、平板电脑等移动设备不断普及和网络通信技术快速发展,利用移动终端进行学习即将成为未来学习的重要模式。该研究从信息化的特点入手,分析和研究了开源移动应用开发平台Android和Java,JSP,Java Script等具体的移动学习课程开发相关性技术,并结合移动学习的特点,采用了两层体系结构,进行了基于Android平台的移动学习课程的开发。文章介绍了系统的相关分析,描述了其业务流程及系统体系结构,并对系统的设计和具体的实现进行了阐述。最终也通过相关的技术手段初步实现了基于android的移动学习系统,并在已经在Android手机上测试通过。     

基于Android平台的移动学习系统大数据挖掘技术研究

基于Android平台对移动学习系统大数据挖掘技术进行研究。通过期望最大化EM算法进行用户聚类,利用移动学习系统的个性化资源推荐模型进行近邻用户的选取和评分预测,采用CRISP-DM模型,根据学习者下载资源的时间序列数据建立ARTXP算法挖掘模型,通过对英语类课件、法律类课件、计算机类课件在7天后的下载预测,表明英语类的移动学习资源需求有所下降,法律类与计算机类课件需求有所增加,同样,可对移动学习系统的其他类学习资源需求进行预测,根据需求的变化情况制作并上传相应移动学习资源。     

基于微信公众平台的移动学习系统设计与实现

近年来,随着移动学习的逐渐普及,大学生对移动学习的需求也日益强烈。移动学习被认为是一种未来的大学生学习模式。为满足大学生的移动学习需求,文章基于微信公众平台设计了一个移动学习系统。经过前期的测试和使用,系统效果良好,具有进一步的开发和使用价值。     

基于智能手机的移动学习系统开发技术研究

移动学习逐步成为成人远程教育重要的学习方式,本文针对开发基于智能手机的移动学习系统,在探讨移动学习及其网络架构的基础上,采用实例分析法,对现阶段开发移动学习系统的各种技术进行了分析,重点剖析了现阶段开发移动学习系统的开发模式及其技术架构的实现。这些技术和方法,对技术人员进行移动学习系统的开发具有指导和借鉴意义。     

移动学习基础环境发展现状研究

近年来,移动学习这一新型的远程教育模式受到了学术界和业界的普遍关注。移动网络、移动终端以及移动学习平台组成了移动学习的基础环境。基础环境的发展对移动学习业务的推动至关重要,为了了解其现状和趋势,文章对以上三因素的发展现状进行了详细的调查及分析,以期对移动学习系统的建设有所裨益。     

基于多点交互的移动学习系统设计与实现

随着4G技术发展以及5G技术迅速兴起,网络通信技术已在移动终端得到深入应用,为移动学习带来新机遇,使移动学习成为移动互联网时代一种新型教育形式。移动学习不仅能够满足学习者随时随地进行学习需求,还能提高学生的学习兴趣和效率,成为未来不可或缺的学习模式之一。研究移动学习的挑战,并提出移动学习系统的框架。该系统包含五个模块,当学生登录进行身份验证时,可以选择录制的课程或加入实时课堂,并且采用各种互动学习方法,包括文本、视频和音频。设计一个具有用户友好界面的系统,在此基础上进行实验,以评估所提出系统的有效性。实验结果表明,该系统实现所提功能,并得到满意的结果,与现有移动学习应用相比,还可以支持点播在线学习、消息通知、学分信息查询、服务咨询等功能。     

移动学习中学习共同体的设计与实现

移动学习和学习共同体是当前教育技术领域两个研究的热点.但是对于移动学习中学习共同体的研究却少之又少.简单介绍了移动学习及其特点,分析了移动学习共同体和网络学习共同体之间的差异,并最终设计和实现了移动学习中的学习共同体.     

基于WAP的移动学习系统研究与设计

如何充分有效地将移动计算技术应用于教育,正在成为当今的研究热点。为了适应现代教育技术的发展,促进医学教学改革的要求,在分析移动学习现状的基础上,结合医学院校的实际需求,设计了基于WAP的移动学习系统的体系结构,对系统的各功能模块进行分析与设计,描述系统的开发与运行。在教学实践中应用该系统实现基于浏览连接的移动学习,验证了系统的可行性,为移动学习在医学教育中的进一步应用奠定了基础。     

基于Android移动学习平台研究

在移动互联网时代,为满足高等院校在校生随时随地进行学习,满足高校自身的线上线下课堂的需求,设计了一种基于Android平台的移动学习系统,该系统可以运行在基于Android系统的手机和平板电脑等终端上,能够进行线上课程学习,同时可以让师生进行在线交流。本系统对客户端与服务器端进行了详细的分析与设计,为移动学习平台的实现提供了有价值的参考模型。     

基于上下文感知的移动学习系统设计

移动学习足了信息化时代人们随时随地进行学习的需求,是泛在学习的重要组成。然而用户个体的差异性、学习环境的复杂性、终端设备的局限性等因素阻碍了移动学习的个性化发展。在对比了现有移动学习实现模式的基础上,构建了一个基于上下文感知的移动学习系统,利用泛在计算中的上下文感知技术应对复杂的学习环境,提升人与移动设备之间的交互,实现系统的个性化及智能化。     

基于J2ME的移动学习系统设计与实现

介绍一个自主开发的移动学习系统的设计和实现。该系统利用J2ME技术开发手机服务器和客户端程序,将系统配置在移动通信设备上,满足了随时随地的移动学习需要。     

基于移动学习的远程教学系统设计

随着移动技术的日益成熟与普遍使用，将移动技术运用于教育领域已经越来越受到广大教育工作者的重视。然而，由于移动设备的多样性、移动技术的特殊性，目前的移动学习还存在诸多难题。如何开发出适合于教学自身特点的移动学习系统，是移动学习方式能否取得成功的关键。文章从教学过程中的几大必须的要素入手，设计出遵循教学原理的移动学习系统，并对涉及到的相关技术进行了分析。     

Can COVID-19 pandemic influence experience response in mobile learning?

The mass spreading of COVID-19 has changed the paradigm of the education industry. In China and many other nations, universities have introduced compulsory remote education programs such as mobile learning (m-learning) to prevent public health hazards caused by the pandemic. However, so far, there is still a lack of understanding of student’s learning experience responses in compulsory m-learning programs. As such, there is a necessity to explore the factors and mechanisms which drives students’ experience. This paper evaluates the influence of both pedagogy and technology on learner’s compulsory m-learning experience response (ER) by extending the mobile technology acceptance model (MTAM) during the COVID-19 pandemic. An online self-administered questionnaire was used to collect the data, which was then analysed through SmartPLS 3.2.9. Importance-performance matrix analysis was applied as a post-hoc procedure to gauge the importance and performance of the exogenous constructs. The results revealed that perceptions of m-learning’s learning content quality, user interface, and system’s connectivity affect the perceived mobile usefulness and easiness which in turn affects ER. This paper validates MTAM in the field of education by integrating MTAM with pedagogy and technology attributes under a social emergency setting such as the COVID-19 pandemic. In addition, the current research explains users' ER rather than behaviour intention which is commonly adopted in past studies.     

A comparative study about mobile learning in Iberian Peninsula Universities: Are professors ready?

Mobile technology is increasingly an element to be considered a paradigm that is changing in education in general, and in higher education in particular. In addition, computers and information technology have increased educational opportunities and have opened the way to new teaching/learning approaches. Due to this, several concepts from the e-learning, m-learning and u-learning appeared. Therefore, it is critical to understand whether users (students and professors) are receptive and aware to adapt to this new paradigm before deciding to implement teaching learning methods based on mobile technology. Thus, it is necessary to make a fundamental question “How do professors percept m-leaning?” In this context, the aim of this paper is to investigate the perception of higher education professors in Portugal and Spain (Iberian Peninsula) regarding the m-learning, and to identify the needs of professors as they relate to mobile technologies and how they can be used to promote student’s engagement inside and outside of the classroom. The main results obtained allow us to conclude that the majority of Iberian Peninsula professors have knowledge on how to perform the most trivial task with mobile devices and a high results about the utilization of both augmented reality and gamification applications.     

A survey on deploying mobile deep learning applications: A systemic and technical perspective

With the rapid development of mobile devices and deep learning, mobile smart applications using deep learning technology have sprung up. It satisfies multiple needs of users, network operators and service providers, and rapidly becomes a main research focus. In recent years, deep learning has achieved tremendous success in image processing, natural language processing, language analysis and other research fields. Despite the task performance has been greatly improved, the resources required to run these models have increased significantly. This poses a major challenge for deploying such applications on resource-restricted mobile devices. Mobile intelligence needs faster mobile processors, more storage space, smaller but more accurate models, and even the assistance of other network nodes. To help the readers establish a global concept of the entire research direction concisely, we classify the latest works in this field into two categories, which are local optimization on mobile devices and distributed optimization based on the computational position of machine learning tasks. We also list a few typical scenarios to make readers realize the importance and indispensability of mobile deep learning applications. Finally, we conjecture what the future may hold for deploying deep learning applications on mobile devices research, which may help to stimulate new ideas.     

Context-aware mobile learning system: Usability assessment based on a field study

Teaching-learning models supported by technology have evolved since the emergence of personal computers until the present day, where m-learning has been incorporated thanks to mobile technology. In this context, some works have proposed mobile learning systems (MLS). One of the main requirements of this kind of systems in terms of software quality is the usability. Therefore, the analysis and evaluation of the usability of MLS are especially relevant; however, few works have addressed the usability issues using field studies with students and professors in real domains. In this paper, we present a usability assessment of a Context-Aware Mobile Learning System (CAMLS) based on a field study with six professors and forty-eight high school students in a real environment. The results obtained from the usability assessment show that, on average, the services offered by the system have 82.4% acceptance by users (professors and high school students), with the learning reinforcement service through SMS messages having the highest acceptance for teachers, with a positive perception of 91.5%. Meanwhile, for the high school students, the Mobile Learning Objects (MLOs) suggestion service was highest with 81% acceptance. Based on the obtained results, the evaluated mobile learning system holds wide acceptance, satisfaction, and applicability from teachers’ and students’ perspectives. The usability assessment described in this study can serve as a reference for developers seeking to improve mobile learning systems development.     

基于代理的移动数据库研究

近年来,无线技术的发展促进了移动计算的研究,但是多数移动数据库系统使用传统的客户机/服务器模式或单代理模式处理移动查询,进而产生了数据大量迁移的问题。文章提出了一种基于多移动代理技术的移动数据库查询处理模型,旨在减少处理过程中的数据迁移量,提高移动环境下查询分布式异构数据库的性能。     

Ubiquitous learning: A systematic review

Ubiquitous learning, labeled as u–learning, takes advantage of digital content, physical surroundings, mobile devices, pervasive components, and wireless communication to deliver teaching–learning experiences to users at anytime, anywhere, and anyway. U–learning represents an emergent paradigm that spreads education in diverse settings, where users are situated in authentic learning contexts to face immersive experiences in order to accomplish meaningful learning. With the aim at disseminating such a revolutionary arena, this systematic review analyzes its nature, application, and evolution throughout a longitudinal study, where 176 approaches built since 2010 up to the third quarter of 2017 date are gathered, classified, and characterized to disclose labor traits, outcome patterns, and field tendencies. These five results are grounded respectively in a representative collection, a proposed taxonomy, a suggested pattern, statistical interpretations, mining findings, and critical analysis. The conclusions reveal: u–learning is able to transform traditional education provided at classroom level and by e–learning. Principally, this is because students, pertaining to diverse academic levels experience real and authentic settings, are immersed in dual reality sceneries, benefit from context–aware support, learn diverse educational domains, follow suitable learning paradigms, deal with diverse effects, and interact with different devices and technologies in a blended fashion. All of this with the purpose of enhancing users’ apprenticeship.     

小学英语教育理论与移动学习资源设计和应用的有效结合

随着科技的进步,移动教育在教育教学中得到了广泛的应用并取得了巨大的成就,目前我国英语教学普遍存在着重单词、短语练习,轻听说读练习的现象,很多学生无法用英语进行交流,基于此,本位设计了适合小学生使用移动学习工具进行英语学习的模式。     

Mobile Widget在移动增值业务中的应用研究

widget技术是web2.0时代的热门技术之一,随着移动互联网时代的到来,和移动技术结合的Mobile Widget技术将在移动应用上得到巨大的发展.本文通过对Widget技术的介绍,同时结合现有移动增值业务的特性,分析了Widget技术在移动应用上的优势,对Mobile Widget技术在移动增值业务上的应用进行了研究.