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Educational Technology in Resource-Constrained Environments: A Nigerian Case Study

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Innovative Technologies and Learning (ICITL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11003))

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Abstract

Resource-constrained educational environments are unable to attain optimal pedagogical benefits due to impeding social, economic and cultural factors. This paper is an exploration of learning in these environments, employing Nigeria as the geographical context. The focus is on reported case studies of technological interventions and the associated learning outcomes. Findings reveal a limited number of studies, a sole preference for the quantitative research methodology and software-based educational technology. However, the reviewed studies are unanimous in their verdict of the impact of educational technology on the learning. Accounts of improved confidence, engagement, performance/achievement, retention, participation collaboration were documented.

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Authors and Affiliations

  1. Department of Learning Technologies, University of North Texas, 3940 N. Elm Suite G150, Denton, TX, 76207, USA

    Japari Ngilari

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  1. Japari Ngilari
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Correspondence to Japari Ngilari .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Kun Shan University, Tainan City, Taiwan

    Yueh-Min Huang

  3. Nanjing Normal University, Nanjing, China

    Rustam Shadiev

  4. University of North Texas, Denton, TX, USA

    Lin Lin

  5. University of Ljubljana, Ljubljana, Slovenia

    Andreja Istenič Starčič

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Ngilari, J. (2018). Educational Technology in Resource-Constrained Environments: A Nigerian Case Study. In: Wu, TT., Huang, YM., Shadiev, R., Lin, L., Starčič, A. (eds) Innovative Technologies and Learning. ICITL 2018. Lecture Notes in Computer Science(), vol 11003. Springer, Cham. https://doi.org/10.1007/978-3-319-99737-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-99737-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99736-0

  • Online ISBN: 978-3-319-99737-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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