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Analyzing How E-Learning Activities Affect Student Engagement in Mathematics through Artificial Intelligence Analytics Ferawati Ferawati; Rudi Setiyanto; Hasbullah Hasbullah
Media Pendidikan Matematika Vol. 13 No. 2 (2025): J-MPM
Publisher : Program Studi Pendidikan Matematika, FSTT, Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/mpm.v13i2.18437

Abstract

This study aimed to examine the influence of e-learning activity variables on students’ engagement in online mathematics learning.  The ex post facto design was selected because data were collected from existing Learning Management System (LMS) activity logs without experimental manipulation, allowing the analysis of naturally occurring relationships between variables. The population consisted of 350 senior high school students in Tangerang, Indonesia, during the 2024/2025 academic year, with a proportional stratified random sample of 180 students across Grades 10–12 to ensure representativeness. The study investigated four independent variables: login frequency (X1), learning duration (X2), assignment submission punctuality (X3), and forum participation activity (X4), with student engagement (Y) as the dependent variable. Multiple linear regression analysis was conducted after confirming that the data met classical assumptions, including normality, multicollinearity, and homoscedasticity. The results indicated that all four e-learning activity variables significantly and positively influenced student engagement. The regression equation was: Y = 35.214 + 0.426X1 + 0.321X2 + 0.214X3 + 0.178X4. T-test results confirmed the partial effects of each variable: Login Frequency (t = 5.195, p < 0.001), Learning Duration (t = 4.280, p < 0.001), Assignment Submission (t = 4.115, p < 0.001), and Forum Participation (t = 2.825, p = 0.005). These findings suggest that active participation in e-learning activities enhances student engagement in online mathematics learning, providing practical implications for teachers and school administrators to optimize LMS-based instructional strategies
Evaluating Mobile Mathematics Learning Application Success Using the DeLone–McLean Information Systems Success Model Ferawati Ferawati; Lilis Stianingsih; Fiqih Hana Saputri; Rudi Setiyanto
Jurnal Info Sains : Informatika dan Sains Vol. 16 No. 02 (2026): Info sains, 2026
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study evaluates the success of the Math World mobile mathematics learning application implemented at SKh YKDW Tangerang using the DeLone and McLean Information Systems Success Model. A quantitative descriptive approach was employed involving 25 special education teachers as respondents. Data were collected through a questionnaire measuring six dimensions of information system success: System Quality, Information Quality, Service Quality, System Use, User Satisfaction, and Net Benefits. The data were analyzed using descriptive statistics based on percentage scores. The results indicate that the overall success level of the application reached 78.9%, which falls into the Good category. Among the six dimensions, User Satisfaction obtained the highest score (82.9%), followed by Information Quality (82.4%), while System Use recorded the lowest score (74.1%). The findings suggest that teachers perceive the Math World application as easy to use, providing accurate and relevant learning content that supports mathematics instruction for students with intellectual disabilities. However, improvements are still needed in system reliability, technical support responsiveness, and the integration of the application into regular classroom practice to maximize its educational benefits. Overall, the study concludes that Math World is an effective learning application with considerable potential to support inclusive mathematics education.