Increasing the Role of Data Analytics in m-Learning Conversational Applications

作者: David Griol , Zoraida Callejas

DOI: 10.1007/978-3-319-68318-8_5

关键词: Mobile deviceUser modelingProcess (engineering)Factor (programming language)Variety (cybernetics)M-learningComputer scienceKey (cryptography)Human–computer interactionData analysis

摘要: Technological integration is currently a key factor in teaching and learning. New interaction handheld devices (such as smartphones tablets) are opening new learning scenarios that require more sophisticated applications strategies. This chapter focused on the high variety of educational multimodal conversational systems offer. We also describe framework based interfaces mobile to enhance process experience. Our approach focuses use NLP techniques, such speech text analytics, adapt personalize student’s . Using this framework, we have developed practical app offers different kinds educative exercises academic information, which can be easily adapted according pedagogical contents students’ progress.

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