Analisis Kebutuhan Pembelajaran Tematik di SDN Kalideres 06 Pagi
Article Sidebar
Page Numbers:
154-168
Digital Object Identifier:
10.58578/yasin.v1i2.122
Viewed: 1.537 times
Downloaded: 3.180 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, Devi Sartika2, Humaerah Humaerah3, Farhan Ardhya Agusta4
Copyright :Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
Needs Analysis is a method used to identify the needs needed by students so that educators are able to meet these needs. Through the right steps, problems that cover the thematic learning will be resolved. This study aims to determine the needs of educators and students, especially elementary schools in thematic learning. This is a survey research using descriptive methods to collect data. The results showed that students' needs related to learning methods and media were very much needed, if a teacher did not pay attention to the needs of students in learning, students would feel bored and have no clear learning goals, so that teaching and learning activities were not optimal. With this research, it is hoped that teachers will be able to analyze learning needs before teaching and learning activities are held, this is to minimize the occurrence of problems in learning elementary schools.
Downloads
Citation Metrics & Similar Scopus Articles
-
Azhand A. (2027)Teaching Persian derivational affixes to non-Persian speakers from a Cognitive Morphology Approach: A case study of nominal suffixes (kar, gar, ban, baz, -ande)Language Related Research, 17(4), 469-497
-
Vural G. (2027)Determining the robust drivers of CO2 emissions in Africa: Machine learning and panel econometric evidence on the Environmental Kuznets Curve hypothesisUnconventional Resources, 17
-
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.