[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Benefits of Cloud Services in Education: A Perspective of Database System Students

Author Gustavo Gutiérrez-Carreón



PDF
Thumbnail PDF

File

OASIcs.ICPEC.2020.13.pdf
  • Filesize: 0.73 MB
  • 7 pages

Document Identifiers

Author Details

Gustavo Gutiérrez-Carreón
  • Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México

Cite As Get BibTex

Gustavo Gutiérrez-Carreón. Benefits of Cloud Services in Education: A Perspective of Database System Students. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 13:1-13:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/OASIcs.ICPEC.2020.13

Abstract

Currently, there is a growing trend in the use of cloud-based services to support education. The importance of these services is that they are publicly available, allowing students to access these distributed resources most transparently. In this work, a model of satisfactory learning measurement is proposed to analyze the benefits, from the students' perspective, of cloud services related to education. A case study performed in a Database Systems course is presented; in this, under-graduate students can remotely manage database systems using cloud services. The benefits of an online access scheme compared to those of traditional database access are measured in terms of usability and the principles of cognitive load theory.

Subject Classification

ACM Subject Classification
  • Applied computing → Interactive learning environments
Keywords
  • Cloud Computing
  • Satisfactory Learning
  • Database Systems

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads

References

  1. Fekry Fouad Ahmed. Comparative analysis for cloud based e-learning. Procedia Computer Science, 65:368-376, 2015. Google Scholar
  2. Charles Bell. Introducing the MySQL 8 Document Store. Springer, 2018. Google Scholar
  3. George R Bradford. A relationship study of student satisfaction with learning online and cognitive load: Initial results. The Internet and Higher Education, 14(4):217-226, 2011. Google Scholar
  4. John Brooke et al. Sus-a quick and dirty usability scale. Usability evaluation in industry, 189(194):4-7, 1996. Google Scholar
  5. Nicholas Carr. It in 2018: From turing’s machine to the computing cloud. An internet. com IT Management eBook, 2008. Google Scholar
  6. Tianping Dong, Yan Ma, and Lunpeng Liu. The application of cloud computing in universities' education information resources management. In Information Engineering and Applications, pages 938-945. Springer, 2012. Google Scholar
  7. Gustavo Gutiérrez-Carreón, Thanasis Daradoumis, and Josep Jorba. Integrating learning services in the cloud: An approach that benefits both systems and learning. Educational Technology & Society, 18(1):145-157, 2015. Google Scholar
  8. Nina Hollender, Cristian Hofmann, Michael Deneke, and Bernhard Schmitz. Integrating cognitive load theory and concepts of human-computer interaction. Computers in human behavior, 26(6):1278-1288, 2010. Google Scholar
  9. Oksana Markova, Serhiy O Semerikov, Andrii M Striuk, Hanna M Shalatska, Pavlo P Nechypurenko, and Vitaliy V Tron. Implementation of cloud service models in training of future information technology specialists. In Proceedings of the 6th Workshop on Cloud Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018, number 2433 in CEUR Workshop Proceedings, pages 499-515, 2019. Google Scholar
  10. Srinual Nalintippayawong, Kanokwan Atchariyachanvanich, and Thanakrit Julavanich. Dblearn: Adaptive e-learning for practical database course: An integrated architecture approach. In 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), pages 109-114. IEEE, 2017. Google Scholar
  11. Navin Sabharwal and Shakuntala Gupta Edward. Cloud sql. In Hands On Google Cloud SQL and Cloud Spanner, pages 27-55. Springer, 2020. Google Scholar
  12. John Sweller. Cognitive load theory and e-learning. In AIED, volume 6738 of Lecture Notes in Computer Science, pages 5-6. Springer, 2011. Google Scholar
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail