Development and Evaluation of a Video-Based Supplementary Learning Material on Organic Mix Feed for Ducks and Its Effects on Grade 9 Students’ Content Knowledge

Authors

  • Jodelle Lopernes Omang Canipaan National High School Author

DOI:

https://doi.org/10.5281/zenodo.21055412

Keywords:

: video-based learning, supplementary instructional material, organic mix feed, ADDIE model, agricultural education, Grade 9 students, content knowledge

Abstract

This study developed, implemented, and evaluated a video-based supplementary learning material on organic mix feed for ducks among Grade 9 students at Hinunangan National High School. Guided by the ADDIE instructional design model, it aimed to identify learning gaps, develop a contextualized multimedia resource, determine its effectiveness in improving content knowledge, and assess its acceptability. A quasi-experimental one-group pretest–posttest design was employed involving 51 students. Data were gathered using researcher-developed achievement tests and a student perception questionnaire and analyzed using descriptive and inferential statistics. Results revealed that 45.1% of students were classified under the “Needs Improvement” level, indicating limited prior knowledge in ingredient identification, nutritional understanding, and feed preparation procedures. Following the intervention, the mean score increased from 13.43 to 23.08, yielding a 71.85% gain. A paired-samples t-test showed a statistically significant difference between pretest and posttest scores t (50) = −11.72, p < .001), while a large effect size (d = 1.64) indicated strong instructional impact. The weak correlation between pretest and posttest scores (r = .234, p = .099) suggests that learning gains were not dependent on prior achievement. Students also rated the instructional material as highly acceptable in terms of clarity, relevance, engagement, usability, and learning effectiveness. The findings indicate that the video-based instructional material significantly improved students’ content knowledge and was positively received. This study demonstrates the effectiveness of contextualized multimedia instruction in enhancing conceptual understanding and procedural skills in agricultural education and supports its integration into Technology and Livelihood Education instruction.

Downloads

Download data is not yet available.

References

Abate, G. T., Bernard, T., Makhija, S., & Spielman, D. J. (2023). Accelerating technical change through ICT: Evidence from a video-mediated extension experiment in Ethiopia. World Development, 161, 106089. https://doi.org/10.1016/j.worlddev.2022.106089

Aldoobie, N. (2015). ADDIE model. American International Journal of Contemporary Research, 5(6), 68–72.

Antonio, R. O., Jr. (2022). Teacher-made offline video lectures (T-MOViLe): A flexible learning delivery in teaching statistics. Binan Integrated National High School. https://www.depedbinan.com/media/research/ANTONIO_IMRD_7th_Cycle.pdf

Apatan, F. C., Vacalares, S. T., Desamito, M., Laure, S. A., Pacomios, J. M., & Zafra, K. J. (2023). Utilizing videos as a learning tool in teaching literature to teacher education students. Zenodo. https://doi.org/10.5281/zenodo.8076979

Branch, R. M. (2009). Instructional design: The ADDIE approach. Springer.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Donkor, F. (2010). The comparative instructional effectiveness of print-based and video-based instructional materials for teaching practical skills at a distance. The International Review of Research in Open and Distributed Learning, 11(1), 96–116. https://doi.org/10.19173/irrodl.v11i1.792

Fatmawati, E. R., Sarjana, T. A., Suprijatna, E., Santoso, S. I., & Setiadi, A. (2021). The influence of Pistia stratiotes L. powder in ration on performance index and red blood cell profile of male Magelang ducks. Jurnal Ilmu-Ilmu Peternakan, 31(1), 10–17. https://doi.org/10.21776/ub.jiip.2021.031.01.02

Fiorella, L., & Mayer, R. E. (2018). What works and doesn’t work in instructional video. Computers in Human Behavior, 89, 465–470. https://doi.org/10.1016/j.chb.2018.07.015

Food and Agriculture Organization of the United Nations. (2022). The State of Food and Agriculture 2022: Leveraging automation in agriculture for transforming agrifood systems. https://www.fao.org/3/cb9479en/cb9479en.pdf

Fyfield, M., Henderson, M., & Phillips, M. (2022). Improving instructional video design: A systematic review. Australasian Journal of Educational Technology, 38(3), 155–183. https://doi.org/10.14742/ajet.7296

Heuzé, V., Tran, G., Boudon, A., & Bastianelli, D. (2017). Trichanthera gigantea (Nacedero) – Feed resource for livestock including ducks. Feedipedia (FAO-CIRAD-INRA-AFZ). https://www.feedipedia.org/node/7270

Karubanga, G., Kibwika, P., Okry, F., & Sseguya, H. (2017). How farmer videos trigger social learning to enhance innovation among smallholder rice farmers. Cogent Food & Agriculture, 3(1), 1368105. https://doi.org/10.1080/23311932.2017.1368105

Keller, J. M. (2010). Motivational design for learning and performance: The ARCS model approach. Springer. https://doi.org/10.1007/978-1-4419-1250-3

Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1

Lackmann, S., Léger, P.-M., Charland, P., Aubé, C., & Talbot, J. (2021). The influence of video format on engagement and performance in online learning. Brain Sciences, 11(2), 128. https://doi.org/10.3390/brainsci11020128

Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.

Mayer, R. E. (2021). Multimedia learning (3rd ed.). Cambridge University Press. https://doi.org/10.1017/9781316941355

Molenda, M. (2003). In search of the elusive ADDIE model. Performance Improvement, 42(5), 34–37. https://doi.org/10.1002/pfi.4930420508

Niepes, R. A., Maña, M. A. T., & Cagara, E. C. (2023). Effect of varying levels of golden apple snail (Pomacea canaliculata Lamarck) meal on the growth performance of mallard ducks (Anas platyrhynchos L.). Livestock Research for Rural Development, 35(7), Article 64. https://www.lrrd.org/lrrd35/7/3564rich.html

Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P. D., del Pozo Cruz, B., & Lonsdale, C. (2021). Video improves learning in higher education: A systematic review. Educational Research Review, 34, 100377. https://doi.org/10.1016/j.edurev.2021.100377

Organisation for Economic Co-operation and Development. (2020). Learning remotely when schools close: How well are students and schools prepared? Insights from PISA. OECD Publishing. https://doi.org/10.1787/3bfda1f7-en

Paudi, M. H., Din, R., & Othman, N. (2022). Agricultural video as a learning medium for young farmers. International Journal of Academic Research in Progressive Education and Development, 11(1), 729–742. https://doi.org/10.6007/IJARPED/v11-i1/12142

Ruan, D., Lin, Y. C., Chen, W., Wang, S., Xia, W. G., Fouad, A. M., & Zheng, C. T. (2015). Effects of rice bran on performance, egg quality, oxidative status, yolk fatty acid composition, and fatty acid metabolism-related gene expression in laying ducks. Poultry Science, 94(12), 2944–2951. https://doi.org/10.3382/ps/pev286

Salaño, R. J. M. (2023). YouTeaching in the new normal: Effectiveness of teacher-made YouTube video lessons in improving students’ learning performance on random variables. International Journal of Research and Innovation in Social Science, 7(3), 20–35. https://rsisinternational.org/journals/ijriss/articles/youteaching-in-the-new-normal-effectiveness-of-teacher-made-youtube-video-lessons-in-improving-students-learning-performance-on-random-variables/

Setiadi, A., Santoso, S. I., Suprijatna, E., Sarjana, T. A., & Nurfadillah, S. (2020). Economic and technical analysis of utilization Pistia stratiotes as Magelang duck alternative feed. Buletin Peternakan, 44(3), 109–114. https://doi.org/10.21059/buletinpeternak.v44i3.51049

Shivolo, T., & Neshila, K. F. (2024). Agricultural science preservice teachers’ implementation of practical activities through video-based observations. Agricultural and Environmental Education. https://doi.org/10.29333/agrenvedu/15478

Sweller, J., Ayres, P., & Kalyuga, S. (2020). Cognitive load theory. Springer. https://doi.org/10.1007/978-3-030-47582-3

United Nations Educational, Scientific and Cultural Organization. (2023). Global education monitoring report 2023: Technology in education – A tool on whose terms? UNESCO. https://www.unesco.org/gem-report/en/technology

Waldroup, P. W. (2007). Use of molasses and sugars in poultry feeds. World’s Poultry Science Journal, 63(4), 729–739. https://doi.org/10.1017/S0043933907001658

Zheng, H., Jung, E., Li, T., & Yoon, M. (2022). Effects of segmentation and self-explanation designs on cognitive load in instructional videos. Contemporary Educational Technology, 14(2), ep347. https://doi.org/10.30935/cedtech/11522

Downloads

Published

2026-06-30

How to Cite

Omang, J. L. (2026). Development and Evaluation of a Video-Based Supplementary Learning Material on Organic Mix Feed for Ducks and Its Effects on Grade 9 Students’ Content Knowledge. International Journal of Education, Research, and Innovation Perspectives, 2(6), 1626-1633. https://doi.org/10.5281/zenodo.21055412

Similar Articles

1-10 of 490

You may also start an advanced similarity search for this article.