Blackboard System and Students’ Academic Performance: An Experimental Study in The Philippines

https://doi.org/10.35912/jshe.v3i3.1186
Published: May 3, 2023

Abstract:

Purpose: The main purpose of this study is to determine the Blackboard System's effectiveness on students' academic performance in Araling Panlipunan.

Research methodology: The study employed a quasi-experimental pre-test and post-test non-equivalent group design and was entirely quantitative. Seventy (70) Ligaya High School students in Grade 7 who were divided into the control and experimental groups made up the study's subjects. Both groups received instruction on related subjects throughout the first quarter of the Araling Panlipunan grading period. The t-test for dependent and independent samples was the statistical tool employed to evaluate the hypothesis.

Results: Results indicate that using the Blackboard System to teach Araling Panlipunan is a more effective approach than using the traditional lecture technique. Further, it has a significant impact on students and learning processes. Teachers also gained great benefits in using this system since it provided them an easy way of tracking student progress reducing a lot of paperwork load.

Limitations: This study was limited to only Grade 7 Araling Panlipunan learners in the school year 2019-2020. The duration of the experiment was only focused on the First Quarter grading period.

Contribution: One of the key goals of the study is to raise the standard of education by using new technological trends, which will assist them to advance their skills and competencies in technology. Teachers will also benefit from the study to help them improve their craft with the use of effective pedagogy with ICT to cope with the changing world.

Keywords:
1. Blackboard System
2. Academic Performance
3. Araling Panlipunan
Authors:
Jomarie V. Baron
South Cotabato State College, Philippines
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How to Cite
Baron, J. V. (2023). Blackboard System and Students’ Academic Performance: An Experimental Study in The Philippines. Journal of Social, Humanity, and Education, 3(3), 173–184. https://doi.org/10.35912/jshe.v3i3.1186
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Vol. 3 No. 3 (2023): May
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References

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    Adzharuddin, N. A., & Ling, L. H. (2013). Learning management system (LMS) among university students: Does it work? International Journal of e-Education, e-Business, e-Management and e-Learning, 3(3), 248-252.

    Almrashdah, I. A., Sahari, N., Zin, N. A. H. M., & Alsmadi, M. (2010). Distance learners’ acceptance of learning management system. In 2010 6th International Conference on Advanced Information Management and Service (IMS) (pp. 304-309). IEEE.

    Aras, D. U., Machmud, N. M., Malli, R., & Syamsuddin, A. (2021). Is Pandemic Affecting Students?: A Study on Learning Interest and Academic Achievement on Medical students. In International Conference On Public Health And Medical Sciences Proceedings (Vol. 1, No. 1, pp. 11-18).

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    Bradford, P., Porciello, M., Balkon, N., & Backus, D. (2007). The Blackboard learning system: The be-all and end-all in educational instruction. Journal of Educational Technology Systems, 35(3), 301-314.

    Capper, J. (2001). E-learning growth and promise for the developing world. Tech KnowLogia, 2(2), 7- 10.

    Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley &Sons.

    Coates, H. (2007). A model of online and general campus-based learner engagement. Assessment & Evaluation in Higher Education, 32(2), 121-141.

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    Heirdsfield, A., Walker, S., Tambyah, M., & Beutel, D. (2011). Blackboard as an online learning environment: What do teacher education students and staff think? Australian Journal of Teacher Education (Online), 36(7), 1-16.

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    Stern, J. C. (2005). The new teacher training: A qualitative investigation of the formal and informal training experiences of online distance learning instructors (pp. 1-293). University of California, Los Angeles.

    Wheeler, B., & Jarboe, G. (2001). A new poll shows faculty prefer web-enhanced courses to either classroom-only or distance-only courses: Student learning is maximized with web-enhanced classroom instruction; Online only rivals classroom instruction. Retrieved on November 19, 2005.

  1. Almarashdeh, I. A., Sahari, N., Zin, N. A. M., & Alsmadi, M. (2010). The success of learning management system among distance learners in Malaysian Universities. Journal of Theoretical & Applied Information Technology, 21(2).
  2. Adzharuddin, N. A., & Ling, L. H. (2013). Learning management system (LMS) among university students: Does it work? International Journal of e-Education, e-Business, e-Management and e-Learning, 3(3), 248-252.
  3. Almrashdah, I. A., Sahari, N., Zin, N. A. H. M., & Alsmadi, M. (2010). Distance learners’ acceptance of learning management system. In 2010 6th International Conference on Advanced Information Management and Service (IMS) (pp. 304-309). IEEE.
  4. Aras, D. U., Machmud, N. M., Malli, R., & Syamsuddin, A. (2021). Is Pandemic Affecting Students?: A Study on Learning Interest and Academic Achievement on Medical students. In International Conference On Public Health And Medical Sciences Proceedings (Vol. 1, No. 1, pp. 11-18).
  5. Bouhnik, D., & Marcus, T. (2006). Interaction in distance?learning courses. Journal of the American Society for Information Science and Technology, 57(3), 299-305.
  6. Bradford, P., Porciello, M., Balkon, N., & Backus, D. (2007). The Blackboard learning system: The be-all and end-all in educational instruction. Journal of Educational Technology Systems, 35(3), 301-314.
  7. Capper, J. (2001). E-learning growth and promise for the developing world. Tech KnowLogia, 2(2), 7- 10.
  8. Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley &Sons.
  9. Coates, H. (2007). A model of online and general campus-based learner engagement. Assessment & Evaluation in Higher Education, 32(2), 121-141.
  10. DeNeui, D. L., & Dodge, T. L. (2006). Asynchronous learning networks and student outcomes: The utility of online learning components in hybrid courses. Journal of Instructional Psychology, 33(4).
  11. Douglas, D. (2014). Understanding language testing. Routledge.
  12. Douglas, M. E., Peecksen, S., Rogers, J., & Simmons, M. (2019). College Students' Motivation and Confidence for e-Portfolio Use. International Journal of e-Portfolio, 9(1), 1-16.
  13. El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743-763.
  14. Finger, G., & Trinidad, S. (2002). ICTs for learning: An overview of systemic initiatives in the Australian states and territories. Australian Educational Computing, 17(2), 3-14.
  15. Ghavifekr, S., & Rosdy, W. A. W. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International journal of research in education and science, 1(2), 175-191.
  16. Heirdsfield, A., Walker, S., Tambyah, M., & Beutel, D. (2011). Blackboard as an online learning environment: What do teacher education students and staff think? Australian Journal of Teacher Education (Online), 36(7), 1-16.
  17. Iskander, M. (2008). Innovative techniques in instruction technology, e-learning, e-assessment, and education. Springer Science & Business Media.
  18. Jan, R., & Khattak, R. (2015). The impacts of ICT on the students’ Performance: A Review of Access to Information. Res Human Soci Sci, 5(1), 85-94.
  19. Khan, M. R., & Hossain, S. S. (2021). Perception of distance learning in Bangladeshi tertiary education: prospects and obstacles in the Covid-19 era. Journal of Social, Humanity, and Education, 1(3), 197-207.
  20. Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). Surveying instructor and learner attitudes toward e- learning. Computers &Education, 49(4), 1066-1080.
  21. Malikowski, S. R., Thompson, M. E., & Theis, J. G. (2007). A model for research into course management systems: Bridging technology and learning theory. Journal of educational computing research, 36(2), 149-173.
  22. McCombs, J. P. (2011). A path analysis of the behavioral intention of secondary teachers to integrate technology in private schools in Florida. The University of North Florida.
  23. Nasir, K. B., & Neger, M. (2022). Students’ attitude towards online education system: A comparativestudy between Public and Private Universities in Bangladesh. Journal of Social, Humanity, and Education, 2(2), 167-183.
  24. Norton, P., & Hathaway, D. (2008). Exploring two teacher education online learning designs: A classroom of one or many. Journal of Research on Technology in Education, 40(4), 475-495.
  25. Paulsen, M. F. (2003). Experiences with learning management systems in 113 European institutions. Journal of Educational Technology & Society, 6(4), 134-148.
  26. Quarless, D. A. (2007). Redundant features of the design in Blackboard (LMS) and user error. ACM SIGCSE Bulletin, 39(2), 177-179.
  27. Rafid, R., & Khotimah, F. K. (2021). Interaction analysis on social-education of Indonesian school students: A literacy activity. Journal of Social, Humanity, and Education, 1(4), 269-280.
  28. Sauers, D., & Walker, R. C. (2004). A comparison of traditional and technology-assisted instructional methods in the business communication classroom. Business Communication Quarterly, 67(4), 430-442.
  29. Stern, J. C. (2005). The new teacher training: A qualitative investigation of the formal and informal training experiences of online distance learning instructors (pp. 1-293). University of California, Los Angeles.
  30. Wheeler, B., & Jarboe, G. (2001). A new poll shows faculty prefer web-enhanced courses to either classroom-only or distance-only courses: Student learning is maximized with web-enhanced classroom instruction; Online only rivals classroom instruction. Retrieved on November 19, 2005.