Main Article Content

Cillum in ut est ut deserunt laboris amet officia esse deserunt dolore.

Voluptate Incididunt 1
1 University of Argentina, Argentina
Articles Published: 2026-05-17 https://doi.org/10.30599/sanguboot.v1i2.6

Abstract

Cillum in ut est ut deserunt laboris amet officia esse deserunt dolore. Commodo cupidatat enim exercitation sed in dolor sunt ullamco pariatur dolor. Amet veniam dolore adipiscing ad esse in amet consectetur ex. Consectetur tempor culpa culpa aute eu sint officia ut nostrud officia consequat. Nulla ut elit cillum qui eu anim duis culpa.Cillum in ut est ut deserunt laboris amet officia esse deserunt dolore. Commodo cupidatat enim exercitation sed in dolor sunt ullamco pariatur dolor. Amet veniam dolore adipiscing ad esse in amet consectetur ex. Consectetur tempor culpa culpa aute eu sint officia ut nostrud officia consequat. Nulla ut elit cillum qui eu anim duis culpa.Cillum in ut est ut deserunt laboris amet officia esse deserunt dolore. Commodo cupidatat enim exercitation sed in dolor sunt ullamco pariatur dolor. Amet veniam dolore adipiscing ad esse in amet consectetur ex. Consectetur tempor culpa culpa aute eu sint officia ut nostrud officia consequat. Nulla ut elit cillum qui eu anim duis culpa.

Keywords

pariatur dolor lorm ipsum

License

References

  1. Clark, R. C., & Mayer, R. E. (Ed.). (2016). e‐Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning (1 ed.). Wiley. https://doi.org/10.1002/9781119239086
  2. González-Mena, G., Lozada-Flores, O., Murrieta Caballero, D., Noguez, J., & Escobar-Castillejos, D. (2024). Improving engineering students’ understanding of classical physics through visuo-haptic simulations. Frontiers in Robotics and AI, 11, 1305615. https://doi.org/10.3389/frobt.2024.1305615
  3. Gredler, M. E. (2009). Learning and instruction: Theory into practice (6th ed). Merrill Pearson.
  4. Haetami, A., Zulvita, N., Dahlan, Maysara, Marhadi, M. A., & Santoso, T. (2023). Investigation of Problem-Based Learning (PBL) on Physics Education Technology (PhET) Simulation in Improving Student Learning Outcomes in Acid-Base Material. Jurnal Penelitian Pendidikan IPA, 9(11), 9738–9748. https://doi.org/10.29303/jppipa.v9i11.4820
  5. Klahr, D., & Nigam, M. (2004). The Equivalence of Learning Paths in Early Science Instruction: Effects of Direct Instruction and Discovery Learning. Psychological Science, 15(10), 661–667. https://doi.org/10.1111/j.0956-7976.2004.00737.x
  6. Liana, L., Kosim, K., & Taufik, M. (2023). Influence of the Problem-Based Learning Model Assisted by PhET Simulations on Students’ Problem-Solving Abilities and Mastery of Physics Concepts. AMPLITUDO : Journal of Science and Technology Inovation, 2(2), 101–107. https://doi.org/10.56566/amplitudo.v2i2.103
  7. Pranata, O. D. (2023). Physics Education Technology (PhET) as Confirmatory Tools in Learning Physics. Jurnal Riset Fisika Edukasi dan Sains, 10(1), 29–35. https://doi.org/10.22202/jrfes.2023.v10i1.6815
  8. Smetana, L. K., & Bell, R. L. (2012). Computer Simulations to Support Science Instruction and Learning: A critical review of the literature. International Journal of Science Education, 34(9), 1337–1370. https://doi.org/10.1080/09500693.2011.605182
  9. Sudirman, S., & Zain, Moh. I. (2023a). Application of The Drill Method to Improving Science Learning Outcomes. Jurnal Penelitian Pendidikan IPA, 9(4), 1886–1891. https://doi.org/10.29303/jppipa.v9i4.3649
  10. Sudirman, S., & Zain, Moh. I. (2023b). Application of The Drill Method to Improving Science Learning Outcomes. Jurnal Penelitian Pendidikan IPA, 9(4), 1886–1891. https://doi.org/10.29303/jppipa.v9i4.3649
  11. Zuza, K., Garmendia, M., Barragués, J.-I., & Guisasola, J. (2016). Exercises are problems too: Implications for teaching problem-solving in introductory physics courses. European Journal of Physics, 37(5), 055703. https://doi.org/10.1088/0143-0807/37/5/055703