MEAT: An Authoring Tool for Generating Adaptable Learning Resources

نویسندگان

  • Yen-Hung Kuo
  • Yueh-Min Huang
چکیده

Mobile learning (m-learning) is a new trend in the e-learning field. The learning services in m-learning environments are supported by fundamental functions, especially the content and assessment services, which need an authoring tool to rapidly generate adaptable learning resources. To fulfill the imperious demand, this study proposes an authoring tool named Mobile E-learning Authoring Tool (MEAT) to produce adaptable learning contents and test items. In addition, the visualized course organization tool has also been provided to teachers to organize their teaching courses. All functionalities of the MEAT are designed according to the teachers’ feedback and their technological learning needs. To evaluate the MEAT, we have conducted an extensive comparison between the MEAT and other (adaptation) content authoring tools. The result indicates the MEAT is the only tool, which can produce adaptable contents and test items while supporting learning standard. In addition to technical comparison, the qualitative feedbacks from teachers and students are also shown in the evaluation section, and result points out the advantages and shortcomings of the MEAT. According to our findings, we have summarized some design principles for readers who are interested in designing elearning applications. It hopes our precious experiences can inspire readers to develop more valuable learning tools.

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عنوان ژورنال:
  • Educational Technology & Society

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2009