The Use of The Learning Analytics Method in Moodle LMS Data to Predict The Final Score of Students in The Vocational Faculty

Hadisoebroto, Andreas Emmanuel and Subandoro, Philipus Suryo (2022) The Use of The Learning Analytics Method in Moodle LMS Data to Predict The Final Score of Students in The Vocational Faculty. The Use of The Learning Analytics Method in Moodle LMS Data to Predict The Final Score of Students in The Vocational Faculty, 11 (1). pp. 22-26. ISSN p-ISSN: 2252-7001, e-ISSN: 2502-454X

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Abstract

The online learning system used by most higher education institutions is moodle. Researchers will also use Moodle as a source of student activity data. Student activity data, including the frequency of accessing the LMS, the number of assignments completed, and the amount of material accessed, can be retrieved and analyzed through data stored in Moodle. Researchers took data in the first and even semesters using the Learning Analytics method combined with statistical analysis and data analytics. The results showed that the submission variable that shows the frequency of completion of students completing assignments or quizzes has a positive influence and a significant correlation to the final score in 1 school year. The duration and action variables both showed insignificant and even negative impacts on students' acquisition of final grades. In addition, the duration and action variables have a solid insignificant correlation to the acquisition of the final value

Item Type: Article
Uncontrolled Keywords: Moodle, Learning Analytics, liveliness, python, academic achievement
Subjects: Office Administration
Divisions: Journal Publication
Depositing User: F.X. Hadi
Date Deposited: 20 Jun 2023 08:22
Last Modified: 18 Jul 2023 03:21
URI: http://repository.ukwms.ac.id/id/eprint/35090

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