Project-Based Learning Assisted by Videos, Artificial Intelligence, and Computer Applications in the Educational Data Analysis Course Jackson Pasini Mairing (a*), Sugiharto (a), Sry Rita Puspitasari (a)
a) Mathematics Education Department, University of Palangka Raya
*jp-mairing[at]math.upr.ac.id
Abstract
Data analysis without using computer applications takes a long time, and the chances of errors increase. Additionally, data analysis learning needs to be linked to the students^ academic context. The research aimed to describe the effect of implementing project-based learning assisted by videos, artificial intelligence, and computer applications on students^ ability to analyze data. The research subjects were 34 mathematics education students from a state university in Central Kalimantan who took the Educational Data Analysis course during the 2024/2025 academic year. The research was a quasi-experiment with a one-group pretest-post-test design. The instruments used were the Learning Plan, the pretest, the post-test, the project assignment, and the YouTube videos. The results showed that each group independently completed the assignment, namely reanalyzing data from some theses using Microsoft Excel and Minitab within seven meetings. The students, in groups, were able to explain the statistical concepts/procedures, and draw conclu-sions from the data after learning through the videos and the artificial intelli-gence. The effectiveness of this learning was demonstrated by improvement in the pretest to the post-test scores, with a normalized gain in the medium category.
