Design of Ubiquitous Learning (U-Learning) on Thesis Writing Training and Final Project Assisted Massive Open Online Courses
- DOI
- 10.2991/978-2-494069-95-4_73How to use a DOI?
- Keywords
- Ubiquoitous Learning; Thesis Writing; Massive Open Online Courses
- Abstract
This study aims to produce a ubiquoitous learning (u-learning) training design for students who are compiling thesis and final project using massive open online courses (MOOC). The research method uses research and development of the ADDIE model. Data collection was obtained from expert assessments of the acceptability of product content that met accuracy, usability, convenience and attractiveness of the product. Data analysis is then carried out with Interrater agreement to get the value of the expert agreement. The results of data analysis show the conclusion that the content developed in the ubiquotus learning (u-learning) training design had very high acceptance with aspects of accuracy, usability, convenience and attractiveness so that it was feasible to use.
- 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 - Widya Multisari AU - Adi Atmoko AU - Riskiyana Prihatiningsih AU - Hengki Tri Hidayatullah AU - Sinta Aura Rokhmatillah PY - 2023 DA - 2023/02/13 TI - Design of Ubiquitous Learning (U-Learning) on Thesis Writing Training and Final Project Assisted Massive Open Online Courses BT - Proceedings of the International Conference on Educational Management and Technology (ICEMT 2022) PB - Atlantis Press SP - 637 EP - 645 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-95-4_73 DO - 10.2991/978-2-494069-95-4_73 ID - Multisari2023 ER -