About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia

Research Article

Validation of Android-Based Mobile Learning Product Development as Inferential Statistics Learning Media

Download105 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.17-9-2024.2353036,
        author={Joko  Suharianto and Sumarno  Sumarno and Thamrin  Thamrin and M.  Amin Fauzi},
        title={Validation of Android-Based Mobile Learning Product Development as Inferential Statistics Learning Media},
        proceedings={Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2025},
        month={1},
        keywords={mobile learning inferential statistics feasibility test},
        doi={10.4108/eai.17-9-2024.2353036}
    }
    
  • Joko Suharianto
    Sumarno Sumarno
    Thamrin Thamrin
    M. Amin Fauzi
    Year: 2025
    Validation of Android-Based Mobile Learning Product Development as Inferential Statistics Learning Media
    ICIESC
    EAI
    DOI: 10.4108/eai.17-9-2024.2353036
Joko Suharianto1,*, Sumarno Sumarno1, Thamrin Thamrin2, M. Amin Fauzi1
  • 1: Universitas Negeri Medan
  • 2: Univeristas Negeri Medan
*Contact email: djoko@unimed.ac.id

Abstract

Student learning outcomes are influenced by a variety of elements, one of which is pertinent to learning media assistance, particularly in the area of inferential statistics, which calls for both theoretical knowledge and extensive practice. As a result, learning gadgets that assist student practice in mobile learning in addition to having contents are required. RPS, case studies, teaching resources, learning recommendation links for video tutorials, and final course project designs will all be included in the resulting mobile learning. The overall goal of this project is to assess the viability of mobile learning for inferential statistics. The 4-D paradigm (Define, Design, Develop, and Disseminate) is used in this study's research and development (R&D) process. In this instance, though, it is only offered up to stage 4, which is product validation. With a validator percentage level of 86.87 percent, the product feasibility test findings indicated that mobile learning for inferential statistics falls into the extremely viable category. This demonstrates that while the resulting mobile learning has been shown to be practical for use in education, a number of additional research phases still require completion.

Keywords
mobile learning inferential statistics feasibility test
Published
2025-01-14
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-9-2024.2353036
Copyright © 2024–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL