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Christian X. Navarro-Cota; Ana I. Molina; Miguel A. Redondo; Carmen Lacave – IEEE Transactions on Education, 2024
Contribution: This article describes the process used to create a questionnaire to evaluate the usability of mobile learning applications (CECAM). The questionnaire includes specific questions to assess user interface usability and pedagogical usability. Background: Nowadays, mobile applications are expanding rapidly and are commonly used in…
Descriptors: Usability, Questionnaires, Electronic Learning, Computer Oriented Programs
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Kumar, Bimal Aklesh; Goundar, Munil Shiva – Education and Information Technologies, 2019
Heuristic evaluation is a fast and easy way to detect usability problems. Nielsen (1994) proposed ten heuristics that are being widely used to conduct heuristic evaluation. Utilizing these heuristics for mobile learning applications is not very effective because they are generic and were not developed taking mobile devices into consideration. In…
Descriptors: Usability, Heuristics, Electronic Learning, Computer Oriented Programs
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Kumar, Bimal Aklesh; Goundar, Munil Shiva; Chand, Sailesh Saras – Education and Information Technologies, 2020
Heuristic evaluation is a fast and cheap method that can be used to identify usability flaws in mobile learning applications. In this paper, we proposed a framework for heuristic evaluation of mobile learning applications to ensure that best practices are followed, hence saving time and effort in conducting a heuristic evaluation. Ten case studies…
Descriptors: Heuristics, Usability, Electronic Learning, Computer Oriented Programs
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Ishaq, Kashif; Rosdi, Fadhilah; Zin, Nor Azan Mat; Abid, Adnan – Education and Information Technologies, 2022
Digital learning environments have been gaining prominence during the last few years. In particular, the rising usage of mobile devices, including smartphones and tabs, has invited researchers to design and develop learning applications and games for such platforms. Mobile applications and games have been developed for learning languages like many…
Descriptors: Educational Games, Language Acquisition, Handheld Devices, Computer Oriented Programs
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Meccawy, Maram – International Journal of Educational Technology, 2017
Teaching computer coding to children from a young age provides with them a competitive advantage for the future in a continually changing workplace. Programming strengthens logical and critical thinking as well as problem-solving skills, which lead to creative solutions for today's problems. The Little Programmer is an application for mobile…
Descriptors: Foreign Countries, Computer Science Education, Programming, Handheld Devices
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Sim, Gavin; Read, Janet C. – British Journal of Educational Technology, 2016
Teaching practices within educational institutions have evolved through the increased adoption of technology to deliver the curriculum and the use of computers for assessment purposes. For educational technologists, there is a vast array of commercial computer applications available for the delivery of objective tests, and in some instances,…
Descriptors: Computer Assisted Testing, Educational Technology, Heuristics, Usability
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Davids, Mogamat Razeen; Chikte, Usuf M. E.; Halperin, Mitchell L. – Advances in Physiology Education, 2013
Optimizing the usability of e-learning materials is necessary to maximize their potential educational impact, but this is often neglected when time and other resources are limited, leading to the release of materials that cannot deliver the desired learning outcomes. As clinician-teachers in a resource-constrained environment, we investigated…
Descriptors: Foreign Countries, Heuristics, Electronic Learning, Usability
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Kim, SooHwan; Kim, HyeonCheol; Han, SeonKwan – Behaviour & Information Technology, 2013
This article describes the development of learning widget on m-learning and e-learning environments. A widget is a small, simple and useful application supporting user-oriented contents. The user may select and install widgets that are convenient as well as an auto-updating application including weather or calendar. These widgets are especially…
Descriptors: Foreign Countries, Electronic Learning, Handheld Devices, Computer Oriented Programs
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Langley, Pat; Carbonell, Jaime G. – Journal of the American Society for Information Science, 1984
Reviews approaches to machine learning (development of techniques to automate acquisition of new information, skills, and ways of organizing existing information) in symbolic domains. Four categorical tasks addressed in machine learning literature are examined: learning from examples, learning search heuristics, learning by observation, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs, Heuristics
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Loo, E. H.; And Others – Computers and Education, 1986
Categories of facilities utilization and scheduling requirements to be considered when using a heuristic approach to timetabling are described together with a nine-step algorithm and the computerized timetabling system, Timetable Schedules System (TTS); TTS utilizes heuristic approach. An example demonstrating use of TTS and a program flowchart…
Descriptors: Algorithms, Computer Oriented Programs, Computer Software, Faculty
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Martindale, Colin; McKenzie, Dean – Computers and the Humanities, 1995
Compares the success of lexical statistics, content analysis, and function words in determining the true author of "The Federalist." The function word approach proved most successful in attributing the papers to James Madison. Lexical statistics contributed nothing, while content analytic measures resulted in some success. (MJP)
Descriptors: Componential Analysis, Computational Linguistics, Computer Oriented Programs, Computer Software
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Bradford, James H.; Cote-Laurence, Paulette – Computers and the Humanities, 1995
Describes an experimental computer program that attempts to simulate a choreographers' knowledge and expertise. The user expresses a set of rules that describe some of the dynamic aspects of a dance. These rules are applied nondeterministically by a "rule driver" program. The rule driver embodies a heuristic algorithm. (MJP)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction, Computer Oriented Programs