Open AccessNeeds analysis and data analytics skills of PGSD Department Students Universitas Negeri Semarang
Author(s) -
. Trimurtini,
Nursiwi Nugraheni,
Florentina Widihastrini,
Sri Susilaningsih
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1567/2/022097
Subject(s) - mathematics education , descriptive statistics , rasch model , psychology , analytics , medical education , computer science , pedagogy , data science , statistics , mathematics , medicine , developmental psychology
Data analytics skill in statistics is vital because it is immediately related to the accomplishment and writing of students’ final projects. The objective of the preliminary study is to describe the data analytics skills of Primary School Teacher Education (PGSD) students and analyze students’ needs in their attempts to accomplish and write the final project on time. This qualitative study was conducted at the Department of Primary School Teacher Education, Faculty of Educational Universitas Negeri Semarang, involving students in the sixth semester as the research subject. The techniques of data analysis were the interactive model by Miles and Huberman and Rasch model. The results of this study showed that students in the sixth semester needed innovation in the learning sources for educational statistics course by 95.15%. Data analytics skills of students achieved the average logit model by 0.37. The conclusion of the preliminary study is the majority of students in the sixth semester need innovation in learning sources for educational statistics course and students’ skills in analyzing data which are categorized high are only 8%.