Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

RM: An Android Mobile Application for the Course Research Methodology – A New Way of Learning the Course

Authors
Sunita M. Dol1, *, P. M. Jawandhiya1
1Pankaj Laddhad Institute of Technology and Management Studies, Buldhana, Maharashtra, India
*Corresponding author. Email: sunita_aher@yahoo.com
Corresponding Author
Sunita M. Dol
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_88How to use a DOI?
Keywords
Research Methodology; Android Mobile Application; Quiz; Likert’s scale; Feedback; Multiple Choice Questions
Abstract

Mobile applications are used for improving and engaging the students as well as teacher in teaching-learning process. The effectiveness as well as the impact of the mobile application can be seen in various fields such as medical education, health care system, engineering education, etc. Keeping this in mind, the mobile application for the very important course Research methodology is developed which will be useful to all UG, PG and PhD students of any stream. The preliminary study related to the mobile app is considered using the previous version of the app. Using the feedback of previous version of the app, the changes are made in the old version of this mobile app and new version are made available to the students. The link for this app on Google Playstore is link -https://play.google.com/store/apps/details?id=in.smd.rmversion. This app contains the PPTs, Notes, Multiple Choice Questions as well as Subjective Questions, Revision Part for revising the various topics of the this course, Test Your Knowledge part for testing the knowledge about this course and Quiz covering all units. In present study, the research question “Whether an android mobile app engage the learners and help them to understand the topics of this course by practicing the quiz and testing the knowledge through Test Your Knowledge section of this app?”.

In current study, this app was given to the forty five PhD research scholars for studying purpose. One group post-test method was conducted to check the effectiveness of this app. It is found from result analysis that there is significant improvement in the result which is verified using statistical analysis t-test. Feedback for this new version is also considered and presented in this paper.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_88
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_88How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sunita M. Dol
AU  - P. M. Jawandhiya
PY  - 2023
DA  - 2023/05/01
TI  - RM: An Android Mobile Application for the Course Research Methodology – A New Way of Learning the Course
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 995
EP  - 1009
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_88
DO  - 10.2991/978-94-6463-136-4_88
ID  - Dol2023
ER  -