Claim Missing Document
Check
Articles

Found 2 Documents
Search

Strengthening Computational Thinking Skills through Blended Learning, Digital Literacy and Learning Environment: The Role of Learning Motivation as a Mediating Variable Niny Makaliwe; Listriyanti Palangda; Ilham Abu; Jety Lempas
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 12 No. 2 (2026): June
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v12i2.20044

Abstract

This study aims to examine the effects of blended learning, digital literacy, and the learning environment on students' computational thinking skills, with learning motivation as a mediating variable. A quantitative approach was employed, employing Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS. The study involved 215 high school students selected through purposive sampling, specifically students with experience in digital and blended learning environments. Data were collected using a questionnaire covering indicators of blended learning, digital literacy, learning environment, learning motivation, and computational thinking skills. Data analysis included external model testing for validity and reliability using Confirmatory Factor Analysis (CFA) and model testing using path coefficients, R-squared, and mediation analysis. The findings indicated that blended learning significantly influenced computational thinking skills (β = 0.059; p = 0.009) and learning motivation (β = 0.167; p = 0.001). The learning environment also showed a significant influence on computational thinking (β = 0.199; p = 0.008) and learning motivation (β = 0.471; p < 0.001). Learning motivation had the strongest direct influence on computational thinking (β = 0.509; p < 0.001). The SEM-PLS model showed adequate predictive power, with R-square values of 0.541 for computational thinking and 0.464 for learning motivation. Mediation analysis showed that learning motivation significantly mediated the relationship between blended learning and computational thinking (β = 0.085; p < 0.001), as well as the learning environment and computational thinking (β = 0.240; p < 0.001). However, the mediation effect between digital literacy and computational thinking was not significant (β = 0.023; p = 0.752), indicating that digital literacy directly influences computational thinking through students' cognitive and information processing abilities. This finding highlights the importance of integrating technology-based learning, a supportive learning environment, and motivational factors to strengthen computational thinking skills.
Do Free Nutritious Meal Programs and Student Well-being Improve Students' Learning Outcomes? Evidence from the Mediating Role of Learning Motivation Henry Tamboto; Listriyanti Palangda; Jety Lempas
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 11 No. 4 (2025): December
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i4.21756

Abstract

This study aims to analyze the effects of the Free Nutritious Meal Program (MBG) and student well-being on students' learning outcomes, as well as to examine the mediating role of learning motivation. A quantitative approach employing Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze data collected through a structured questionnaire. The measurement model evaluation (outer model) showed that all reflective indicators satisfied the criteria for convergent validity, with outer loadings exceeding 0.70, and demonstrated adequate discriminant validity based on the Fornell–Larcker criterion. The structural model evaluation (inner model) yielded adjusted R² values of 0.290 for learning motivation, indicating moderate explanatory power, and 0.764 for learning outcomes, indicating substantial explanatory power. The direct effect analysis revealed that the MBG Program had positive and significant effects on both learning motivation (β = 0.337, p < 0.05) and learning outcomes (β = 0.227, p < 0.05). Likewise, student well-being positively and significantly influenced learning motivation (β = 0.136, p < 0.05) and learning outcomes (β = 0.692, p < 0.05). Mediation analysis further indicated that learning motivation significantly mediated the relationships between the MBG Program and learning outcomes, as well as between student well-being and learning outcomes. These findings suggest that nutritional support through the MBG Program and students' psychosocial well-being jointly enhance learning motivation, which subsequently contributes to improved learning outcomes.