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An Intelligent Platform for Offline Learners Based on Model-Driven Crowdsensing Over Intermittent Networks

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Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity (HCII 2020)

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Abstract

Despite the continuous growth of global Internet users, almost 4 billion people do not use the Internet. The offline population includes people who live in developing regions or rural aging communities. In this context, we propose a learning-support platform for learners without an easy, reliable, and affordable means to access digital learning environments on the Internet. Unlike existing systems that provide little support for efficient educational data collection from offline learners, our proposed platform combines delay-tolerant networking mechanisms and active learning-based model-driven crowdsensing techniques to deliver learning materials and collect educational data efficiently.

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number 17K00117.

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Authors and Affiliations

  1. Faculty of Arts and Science, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

    Shin’ichi Konomi

  2. Graduate School of Information Science and Electrical Engineering, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

    Lulu Gao

  3. Institute of Educational and Management Technologies, The Open University Tanzania, Dar es Salaam, Tanzania

    Doreen Mushi

Authors
  1. Shin’ichi Konomi
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Correspondence to Shin’ichi Konomi .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Konomi, S., Gao, L., Mushi, D. (2020). An Intelligent Platform for Offline Learners Based on Model-Driven Crowdsensing Over Intermittent Networks. In: Rau, PL. (eds) Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. HCII 2020. Lecture Notes in Computer Science(), vol 12193. Springer, Cham. https://doi.org/10.1007/978-3-030-49913-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-49913-6_26

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