Analysis of Student Learning Difficulties in Online Learning in Applied Computer Application Courses
- DOI
- 10.2991/978-2-38476-198-2_126How to use a DOI?
- Keywords
- Learning Difficulties; Applied Computer Applications; Online Learning
- Abstract
This study aims to analyze the difficulties students face studying the Applied Computer Applications subject online. This type of research is quantitative descriptive research. The subjects of this study were third- semester students of the D3 Fashion Design Study Program. Data were collected through questionnaires and documentation from 29 respondents, and the analysis used descriptive method. The results showed that students experienced several difficulties, which were classified into internal and external, including technical, adaptation difficulties and lecturer unpreparedness. To overcome these, it is necessary to develop innovative learning strategies to support student adaptation to online learning. In addition, lecturers need to improve their ICT skills, so they can various online learning media according to students’ technical difficulties.
- Copyright
- © 2024 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 - Hamidah Suryani AU - Irmayanti Irmayanti PY - 2024 DA - 2024/02/06 TI - Analysis of Student Learning Difficulties in Online Learning in Applied Computer Application Courses BT - Proceedings of the 5th Vocational Education International Conference (VEIC-5 2023) PB - Atlantis Press SP - 910 EP - 915 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-198-2_126 DO - 10.2991/978-2-38476-198-2_126 ID - Suryani2024 ER -