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Adapting the Speed of Reproduction of Audio Content and Using Text Reinforcement for Maximizing the Learning Outcome though Mobile Phones

Published: 01 July 2011 Publication History

Abstract

The use of technology in learning environments should be targeted at improving the learning outcome of the process. Several technology enhanced techniques can be used for maximizing the learning gain of particular students when having access to learning resources. One of them is content adaptation. Adapting content is especially important when using limited devices such as mobile phones. Content can be adapted to restrictive network conditions, to limited terminal capabilities, to different user preferences and learning styles or to external elements in the learning and user contexts. This paper studies and analyzes the impact of modifying and therefore adapting the speed of reproduction of audio content in mobile phones on the learning gain of the user. The paper shows that the optimum speed for Spanish audio is around 206 words per minute. The impact of enhancing the audio reproduction by presenting an equivalent version in text displayed on the screen of the mobile phone is also studied. The paper concludes that this text is only important for students younger than 15. The paper analyzes data from 100 Spanish speaking users that are grouped according to different criteria, such as gender, age, or level of studies. The results are presented and discussed.

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  • (2013)Survey and analysis of current mobile learning applications and technologiesACM Computing Surveys10.1145/2543581.254359446:2(1-35)Online publication date: 27-Dec-2013

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Published In

cover image IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies  Volume 4, Issue 3
July 2011
95 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2011

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  1. Audio content adaptation for mobile devices
  2. learning adaptive systems
  3. mobile supported learning to maximize learning outcomes
  4. mobile technology for education
  5. student experiments.

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Cited By

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  • (2013)Survey and analysis of current mobile learning applications and technologiesACM Computing Surveys10.1145/2543581.254359446:2(1-35)Online publication date: 27-Dec-2013

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