Student Extraneous Load Analysis in Online-Based Plant Tissue Structure Learning

Authors

Ermayanti , Rahmi Susanti , Lucia Maria Santoso , Siti Huzaifah , Chelsea Novalin Deluciana

DOI:

10.29303/jppipa.v9i5.2400

Published:

2023-05-31

Issue:

Vol. 9 No. 5 (2023): May

Keywords:

Cognitive load, Mental effort, 3D picture, Plant tissue

Research Articles

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How to Cite

Ermayanti, E., Susanti, R. ., Santoso, L. M. ., Huzaifah, S. ., & Deluciana, C. N. (2023). Student Extraneous Load Analysis in Online-Based Plant Tissue Structure Learning. Jurnal Penelitian Pendidikan IPA, 9(5), 2541–2547. https://doi.org/10.29303/jppipa.v9i5.2400
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Abstract

This study aims to determine the cognitive load of students in online-based plant anatomy learning. The research was conducted at the Biology Education Study Program at a State University in Palembang, Indonesia. The research subjects were Biology Education students (n=73) who contracted the plant anatomy course. The instrument used to determine students' mental effort in understanding plant anatomy material is a questionnaire with a Likert scale with five answer choices: very easy (VE), easy (E), moderate (Md), difficult (D), and very difficult (VD). The aspects measured are (i) identifying the type of tissues and its characteristics by observing 2D and 3D images; (ii) analyzing the interrelationship of tissues structure and it function; (iii) identifying the structure of the constituent tissues in several plant organs, and (iv) spatial thinking related to the structure of plant tissues. The research data shows that the highest percentage in all aspects is in the medium category (MD), which ranges between (31.14% - 47.69%), which means that the learning carried out is not too burdensome for students in these four aspects. However, the data also shows that in the second aspect, namely the ability to analyze the relationship between structure and function, 31.64% of students stated that it was difficult. This is due to the complexity of the material related to the structure and function and the ineffectiveness of the media used in online-based learning

References

Adams, N., & Cowan. (2018). Theories of Working Memory: Differences in Definition, Degree of Modularity, Role of Attention, and Purpose. Language Speech and Hearing Services in Schools, 49(3), 340–355. https://doi.org/10.1044%2F2018_LSHSS-17-0114

Broadbent, J., & Poon, W. L. (2015). Self-regulated Learning Strategies and Academic Achievement in Online Higher Education Learning Environments: a Systematic Review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007

Brom, C., Stárková, T., & Mello, S. K. D. (2018). How Effective is Emotional Design? A meta-analysis on Facial Anthropomorphisms and Pleasant Colors During Multimedia Learning. Educational Research Review, 25, 100–119. https://doi.org/10.1016/j.edurev.2018.09.004

Costley, J. (2019). The Relationship Between Social Presence and Cognitive Load. Interactive Technology and Smart Education, 16(2), 172–182. https://doi.org/10.1108/ITSE-12-2018-0107.

Dalgaly, T. (2020). Benefits and Drawbacks of Online Education. International Scientific Conference on Innovative Approaches to the Application of Digital Technologies in Education, 224–230. Retrieved from https://ceur-ws.org/Vol-2861/paper_25.pdf

Diemand-yauman, C., Oppenheimer, D. M., & Vaughan, E. B. (2011). Fortune favors the bold (and the Italiced): Effects of disfluency on educational outcomes. Cognition, 118, 111–115. https://doi.org/10.1016/j.cognition.2010.09.012

Ermayanti; N.Y, R. A. R. (2017). Spatial thinking in frame-based learning of plant anatomy and its relation to logical thinking. Ideas for 21st Century Education – Abdullah et Al. (Eds) © 2017 Taylor & Francis Group, London, 223–227. https://doi.org/ISBN 978-1-138-05343-4

Ermayanti, Rustaman, N. ., & Rahmat, A. (2016). Meningkatkan Kemampuan Berpikir Logis dengan Pembelajaran Anatomi Tumbuhan berbasis Framing. Prosiding Simposium Nasional Inovasi Dan Pembelajaran Sains (SNIPS), 291–295. Retrieved from https://www.researchgate.net/publication/328802638_Meningkatkan_Kemampuan_Berpikir_Logis_dengan_Pembelajaran_Anatomi_Tumbuhan_Berbasis_Framing

Ermayanti, Rustaman, N. Y., & Rahmat, A. (2017). Types of Reasoning in Framing based Plant Anatomy and It Relation to Spatial Thinking. Journal of Physics: Conference Series, 812(1), 12055. https://doi.org/10.1088/1742-6596/812/1/012055.

Ermayanti, Susanti, R., & Anwar, Y. (2018). Profile of biology prospective teachers’ representation on plant anatomy learning. Journal of Physics: Conference Series, 1006(1), 012043 1–5. https://doi.org/10.1088/1742-6596/1006/1/012043

Gunarsih, T. (2018). Kemampuan Siswa Dalam Mengelola Extraneous Cognitive Load pada Pembelajaran Klasifikasi Tumbuhan dengan Menggunakan Apersepsi Tayangan Video. Bioeduin Jurnal Program Studi Pendidikan Biologi, 8(2), 29–33. https://doi.org/10.1044/2018_lshss-17-0114

Hun, P., Yang., L., & Xu, L. (2020). Analysis and Optimization of Cognitive Load in the Design of Online Teaching on the Internet. Advances in Social Science, Education and Humanities Research, 466, 734–737. https://doi.org/10.2991/assehr.k.200826.148

Isik, L., Koldewyn, K., Beeler, D., & Kanwisher, N. (2017). Perceiving Social Interactions in The Posterior Superior Temporal Sulcus. Proc. Natl. Acad. Sci. U. S. A, 114, 9145– 9152. https://doi.org/10.1073/pnas.1714471114

Jordan, J. M. D., Wagner, J., MD., D. E. M., MD., M. W., MD., M. H. P. E., Santen, S., MD, P., Cico, S. J., & MD., M. (2019). Optimizing Lectures From a Cognitive Load Perspective. Aem Education and Training, 4(3), 306–312. https://doi.org/10.1002/act2.10389

Kalyuga, S. (2010). Schema Acquisition and Source of Cognitive Load. In J. L. Dalam Plass, R. Moreno, & R. Brünken (Eds.), Cognitive Load Theory (pp. 48–64). Cambride University Press. https://doi.org/10.1017/CBO9780511844744.005

Kalyuga, S. (2011). Cognitive Load Theory: How Many Types of Load Does It Really Need? Educational Psychology Review, 23(1), 1–19. https://doi.org/10.1007/s10648-010-9150-7

Kolfschoten, G., Lukosch, S., Verbraeck, A., Valentin, E., & Vreede, G. J. D. (2010). Cognitive Learning Efficiency Through The Use of Design Patterns in Teaching. Computers & Education, 54(3), 652–660. https://doi.org/10.1016/j.compedu.2009.09.028

Lange, C., Costley, J., & Hun, S. L. (2017). The Effects of Extraneous Load on the Relationship Between Self-Regulated Effort and Germane Load Within an E-Learning Environment. International Review of Research in Open and Distributed Learning, 18(5), 64–83. https://doi.org/10.19173/irrodl.v18i5.3028

Lange, C., & Costley, S. Y. (2018). The Moderating Effects of Intrinsic Load on The Relationship Between Self-regulated Effort and Germane Load. Journal of Computer Assisted Learning, 34(6), 652–660. https://doi.org/10.1111/jcal.12269

Lee, H. S., & Lee, S. Y. (2015). Analysis of Various Influences and Factors on Academic Persistence of Cyber University Students. International Journal of U- and E-Service, Science and Technology, 8(10), 211–222. https://doi.org/10.14257/ijunesst.2015.8.10.21.

Leppink, J., Paas, F., Vleuten, C. P., Gog, T., & Merriënboer, J. J. (2013). Development of An Instrument for Measuring Different Types of Cognitive Load. Behavior Research Methods, 45(4), 1058–1072. https://doi.org/10.3758/s13428-013-0334-1

Li, C., Tian, W., He, Y., Wang, C., Wang, X., Xu, X., Bai, L., Xue, T., Liao, Y., Xu, T., Liu, X., & Wu, S. (2023). How Are Patterned Movements Stored in Working Memory? Frontiers in Psychology, 14(1074520), 1–12. https://doi.org/10.3389/fpsyg.2023.1074520

Lin, J. J. H., & Lin, S. S. J. (2014). Cognitive Load for Configuration Comprehension in Computer Supported Geometry Problem Solving: An Eye Movement Perspective. International Journal of Science and Mathematics Education, 12(3), 605–627. https://doi.org/10.1007/s10763-013-9479-8

Moreno, R., & Park, B. (2010). Cognitive Load Theory: Historical Development and Relation to Other Theories. In J. L. Dalam Plass, M. R., & R. Brünken (Eds.), Cognitive Load Theory (pp. 9–28). Cambride University Press. https://doi.org/10.1017/CBO9780511844744.003

Paas, F., & Merriënboer, J. J. G. (2020). Cognitive Load Theory: Methods to Manage Working Memory Load in The Learning of Complex Tasks. Current Directions in Psycological Science, 1–5. https://doi.org/10.1177/0963721420922183

Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2018). The Effectiveness of Computer and Tablet Assisted Intervention In Early Childhood Students’ Understanding of Numbers. An Empirical Study Conducted In Greece. Educ Inf Technol, 23, 1849–1871. https://doi.org/10.1007/s10639-018-9693-7.

Pertiwi, R. I. (2020). Beban Kognitif Intrinsik Siswa dalam Menyelesaikan Soal Trigonometri Ditinjau Dari Kecemasan Matematika. JP2M (Jurnal Pendidikan Dan Pembelajaran Matematika), 6(1), 10–21. https://doi.org/10.29100/jp2m.v6i1.1739

Rawashdeh, A. Z., Mohammed, E. Y., Arab, A. R., Alara, M., & Al-Rawashdeh, B. (2021). Advantages and Disadvantages of Using e-Learning in University Education: Analyzing Students’ Perspectives. The Electronic Journal of E-Learning, 19(2), 107–117. https://doi.org/10.34190/ejel.19.3.2168

Schmeck, A., Opfermann, M., Gog, T., Paas, F., & Leutner, D. (2015). Measuring Cognitive Load With Subjective Rating Scales During Problem Solving: Differences Between Immediate and Delayed Ratings. Instructional Science, 43(1), 93–114. https://doi.org/10.1007/s11251-014-9328-3

Shadiev, R., Hwang, W. Y., Huang, Y. M., & Liu, T. Y. (2015). The Impact of Supported and Annotated Mobile Learning on Achievement and Cognitive Load. Journal of Educational Technology & Society, 18(4), 53–69. https://doi.org/https://www.jstor.org/stable/jeductechsoci.18.4.53

Skulmowski, A., & Rey, G. D. (2018). Realistic Details in Visualizations Require Color Cues to Foster Retention. Computers & Education, 122, 23–31. https://doi.org/10.1016/j.compedu.2018.03.012

Skulmowski, A., & Rey, G. D. (2021). Realism as A Retrieval Cue: Evidence for Concreteness-specific Effects of Realistic, Schematic, and Verbal Components of Visualizations on Learning and Testing. Human Behavior and Emerging Technologies, 3(2), 283–295. https://doi.org/10.1002/hbe2.209

Skulmowski, A., & Xu, K. M. (2021). Understanding Cognitive Load in Digital and Online Learning : A New Perspective on Extraneous Cognitive Load. Educational Psychology Review, 34(3), 1–26. https://doi.org/10.1007/s10648-021-09624-7.

Susiyawati, E., & Treagust, D. F. (2021). Students’ Visual Literacy: a Study From Plant Anatomy Learning. Journal of Physics: Conference Series, 1747, 1–7. https://doi.org/10.1088/1742-6596/1747/1/012021

Sweller, J. (2005). Implications of Cognitive Load Theory for Multimedia Learning. In R. E. Dalam Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (pp. 19–30). Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.003

Sweller, J. (2010). Element Interactivity and Intrinsic, Extraneous and Germane Cognitive Load. Educational Psychology Review, 22, 123–138. https://doi.org/10.1007/s10648-010-9128-5

Sweller, J., Ayres, P., & Kalyuga, S. (2011). Intrinsic and Extraneous Cognitive Load. In J. Sweller, P. Ayres, & S. Kalyuga (Eds.), Cognitive load theory (pp. 57–69). Springer. https://doi.org/10.1007/978-1-4419-8126-4_5

Sweller, J., Merriënboer, J. J. G., & Paas, F. (2019). Cognitive Architecture and Instructional Design : 20 Years Later. Educational Psychology Review, 31, 261–292. https://doi.org/10.1007/s10648-019-09465-5.

Sweller, J., Merriënboer, V., G., J. J., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296. https://doi.org/10.1023/A:102219372820

Thornton, I. M. (2018). Stepping Into The Genetics of Biological Motion Processing. Proc. Natl. Acad. Sci. U. S. A, 115, 1687–1689. https://doi.org/10.1073/pnas.1722625115

Wu, Q., Petsangsri, S., & Morris, J. (2022). Students’ Technology, Cognitive, and Content Knowledge (TSCCK) Instructional Model Effect on Cognitive Load and Learning Achievement. Education Sciences, 12(916), 1–17. https://doi.org/10.3390/educsci12120916

Author Biographies

Ermayanti, Sriwijaya University

Rahmi Susanti, Sriwijaya University

Lucia Maria Santoso, Sriwijaya University

Siti Huzaifah, Sriwijaya University

Chelsea Novalin Deluciana, Sriwijaya University

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Copyright (c) 2023 Ermayanti, Rahmi Susanti, Lucia Maria Santoso, Siti Huzaifah, Chelsea Novalin Deluciana

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