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Educational technology research and development - This article communicates the results of a Danish survey study conducted in 2018 that aimed to examine initiatives relating to computational...  相似文献   
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Learning management systems (LMSs) contain hidden costs, unclear user environments, bulky developer and administration manuals, and limitations with regard to interoperability, integration, localization, and bandwidth requirements. Careful evaluation is required in selecting the most appropriate LMS for use, and this is a general problem in web-based education. One possibility is to automate this evaluation process using computer-aided techniques. In this article, the researcher has focused on the idea of automating the evaluation process and has developed a computer-aided system named Easy Way to Evaluate LMSs (EW-LMS), for the quick and efficient evaluation of LMSs, especially for developing countries, where the idea of using an LMS may be relatively new. The investigation described in this article was carried out with 88 voluntary higher education instructors to test the usefulness of the developed system. Two types of quantitative questionnaires were used during the study. The results obtained indicate that the instructors were highly satisfied using the developed system, and the EW-LMS is technically sound and well developed. Theevaluation system can help instructors to select the best LMS appropriate to their educational needs and their type of usage in the shortest possible time, with little effort, without any specialized technical knowledge/training and by following simple, user-friendly steps. The system is oriented to anyone interested in evaluating and using an LMS in web-based education. Those individuals who may be interested in using this software are instructors, students, or anyone else who may have an interest in LMSs, and educational organizations such as universities, schools, and institutes.  相似文献   
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There is an increase use of wireless technologies in education all over the world. In fact, wireless technologies such as laptop computers, palmtop computers and mobile phones are revolutionising education and transforming the traditional classroom-based learning and teaching into anytime and anywhere education. This paper investigates the use of wireless technologies in education with particular reference to the potential of learning new technical English language words using Short Message Service (SMS) text messaging. The system, developed by the authors, called mobile learning tool (MOLT), has been tested with 45 1st-year undergraduate students. The knowledge of students before and after the experiment has been measured. Our results show that students enjoyed and learned new words with the help of their mobile phones. We believe that using the MOLT system as an educational tool will contribute to the success of students.  相似文献   
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Recently, because of the rapid increase in the popularity of the Internet, the delivery of learning programmes has gradually shifted from local desktop to online‐based applications. As more and more technological tools become available for online education, there is an increasing interest among educators and other professionals in the application of these tools with regard to online courses. In large‐scale operations, online learning management systems (LMSs) can save cost and time. LMSs are software applications that comprise a suite of tools for learning and teaching online. In conventional educational settings, online LMSs can help to improve the speed and effectiveness of the educational process, communication among learners, and also between staff and students. There are a large number of open‐source and commercially available LMSs on the marketplace, and one of the problems facing an administrator or instructor is how to choose the LMS that can meet his/her needs. This paper describes a software system developed by the author to aid in the selection of a suitable LMS. The software is a web‐based decision support system, titled Easy Way to Evaluate LMSs, and is based on using a multi‐attribute decision‐making algorithm for the effective selection of an LMS.  相似文献   
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