Speakers’ Language Characteristics Analysis of Online Educational Videos - Artificial Intelligence Applications and Innovations (AIAI 2014) Access content directly
Conference Papers Year : 2014

Speakers’ Language Characteristics Analysis of Online Educational Videos

Dimitrios Kravvaris
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  • PersonId : 992414
Katia Lida Kermanidis
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  • PersonId : 992337

Abstract

Research in the field of educational videos and the contribution of data mining to education can affect the instructors’ approach to learning. This particular study focuses on online educational videos and more specifically on their speakers. Initially a survey is conducted related to the popularity of educational videos on the YouTube which are then divided into two categories the more popular and the less popular. Then the characteristics related to language are extracted from the transcript of the speakers and after a clustering procedure the differences between the two categories are stated. The characteristics related to the language of the speakers of the popular videos present very interesting results. That is, the pace of speaking is faster and the complexity off the sentences is higher than the ones in the less popular videos.
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Dates and versions

hal-01391293 , version 1 (03-11-2016)

Licence

Attribution - CC BY 4.0

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Dimitrios Kravvaris, Katia Lida Kermanidis. Speakers’ Language Characteristics Analysis of Online Educational Videos. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.60-69, ⟨10.1007/978-3-662-44654-6_6⟩. ⟨hal-01391293⟩
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