Open AccessUtilization of Learning Analytic on Measuring Student Participation in Online Learning
Author(s) -
Sandra Sukmaning Adji,
Sri Hamda
Publication year - 2019
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 - 10.1088/1742-6596/1280/3/032014
Subject(s) - tutor , learning analytics , reading (process) , class (philosophy) , computer science , mathematics education , online learning , active learning (machine learning) , upload , synchronous learning , student engagement , analytics , process (computing) , cooperative learning , multimedia , psychology , world wide web , teaching method , data science , artificial intelligence , political science , law , operating system
Learning analytics can be used to measure the level of student participation in online learning. This study is the best practice in conducting student learning assistance services through online learning, and aims to analyze student involvement during the learning process. The study was conducted on subjects offered by the Open University Chemistry Education course. The data were obtained based on the activity of online learning for one semester conducted by tutors and each tutor holding 1 class. The results obtained show that through learning analytic many items that can be assessed by the tutor on student activities during the online learning take place, among which are: 1) the number of overview accesses by the students on each topic or the reading of the tutorial material 2) the number of access made by each student on tutorial material 3) number of student access in reading each discussion material in discussion forum and, 4) number of response given/uploaded by every student in discussion forum. Other information that can be gained through the use of learning analytics is the interaction of learning that occurs between students with students and students with tutors. Interaction patterns are illustrated through graphs and responses among students.