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Mobile Applications for the Prediction of Learning Outcomes for Learning Strategies and Learning Achievement in Lifelong Learning

  • Pratya Nuankaew
  • Wongpanya Nuankaew
  • Kanakarn Phanniphong
  • Sittichai Bussaman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)

Abstract

In the age of the Internet and communication technology, changes in Technology Enhanced Learning (TEL) and Lifelong Learning Styles (LLS) are becoming a part of education and everyday life. The objectives of this paper were to develop a mobile application and provide perspectives for Learning Strategies (LS) and Learning Achievement (LA) in lifelong learning at the high school level in Maha Sarakham Province, Thailand. This research focused on the identification of the initial steps required to build academic achievement. Data collection was divided into two parts, comprised of (1) data sets for model analysis and application development from 668 students at Phadungnaree School in Maha Sarakham, and (2) data sets for application testing and level of satisfaction collected from 23 IT specialists and 72 general users at Rajabhat Mahasarakham University, Thailand. The research methodology consisted of five principal steps including (1) data collection, (2) model analysis, (3) model performance, (4) mobile application development, and (5) application implementation. The results from the model analysis showed that the research models displayed high accuracy equal to 94.51%. When developed as an association rule, the model could predict with increased accuracy equal to 98.35%. At the same time, the level of satisfaction for the developed applications was also high, equal to 4.61. Therefore, it could be concluded that this application is appropriate and reasonable for recommendation to interested parties in the future.

Keywords

Learning strategies Learning achievement Lifelong learning Data mining in education 

Notes

Acknowledgements

The authors and research project were supported financially and with resources by Rajabhat Mahasarakham University and the University of Phayao. The authors would like to thank the researchers, participants, and technicians for their efforts toward the completion of this research.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Pratya Nuankaew
    • 1
  • Wongpanya Nuankaew
    • 2
  • Kanakarn Phanniphong
    • 3
  • Sittichai Bussaman
    • 4
  1. 1.School of Information and Communication TechnologyUniversity of PhayaoMueang PhayaoThailand
  2. 2.Faculty of Information TechnologyRajabhat Mahasarakham UniversityMueang Maha SarakhamThailand
  3. 3.Faculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-OkSi RachaThailand
  4. 4.Faculty of Science and TechnologyRajabhat Mahasarakham UniversityMueang Maha SarakhamThailand

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