Analisis Kebutuhan Pembelajaran Siswa di SDN Sindangjaya IV
Article Sidebar
Page Numbers:
336-341
Digital Object Identifier:
10.58578/masaliq.v3i3.964
Viewed: 803 times
Downloaded: 402 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:Ina Magdalena1, Siti Azkiatul Ummah2, Rizki Pratama3
Copyright :Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
The purpose of this research is to find out the problems of students' difficulties with digital learning media in elementary schools. The purpose of this study is to find out what students want from digital teaching media. This study uses a descriptive qualitative approach. The purpose of choosing this approach is to determine whether or not digital teaching media is necessary for subjects. Several student representatives became research subjects. The lack of digital teaching media and the need for digital teaching media to support learning are problems that arise in the development of digital teaching media, according to the findings of research conducted in the field. Students can benefit from the availability of digital teaching materials, according to the researchers
Downloads
Citation Metrics & Similar Scopus Articles
-
Irawati R. (2027)Enhancing accounting students’ writing performance through problem-based learning: Evidence from a vocational higher education contextMultidisciplinary Science Journal, 9(1)
-
Naemi Z. (2027)The Relationship between Second Language Learning Strategies, Learning Engagement, and Writing Skill in the Arabic Writing CurriculumLanguage Related Research, 17(4), 331-360
-
Kenzhaliyev B.K. (2027)Predicting Copper Production Cycles in Hydrometallurgy with Interpretable Machine LearningKompleksnoe Ispolzovanie Mineralnogo Syra, 341(2), 5-15
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.