Students’ Concept Mastery in Plant Physiology Course Using Learning Cycle Multiple Representation Model


  • Siti Zubaidah Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Indonesia



Mastery of concepts, Plant physiology, Learning Cycle, Multiple Representation


One of the essential goals of science learning is to lead students to master scientific concepts or ideas and apply them to explain relevant everyday phenomena. Such mastery should help students to work with various representations. The objective of this study was to determine the effectiveness of the Learning Cycle Multiple Representation (LCMR) model in students’ mastery of concepts in plant physiology. This research was done using a quasi-experimental pretest-posttest design involving 62 students as the respondents. The concept mastery instrument consisted of 11 essay tests. The instrument met the value of validity and reliability. The data analysis was done using the one-way analysis of covariant set at a significance level of 5%. The results show that the LCMR model significantly affected students’ mastery levels. The students who learned using the LCMR model showed significantly better mastery of the tested concept than the ones who used the LC model. The mastery score for the student learned using the LCMR model was 80.67, significantly higher (p=0.00 <α) than that obtained from the LC model of 54.00. Apart from enhancing mastery in plant physiology, the LCMR method can be expanded for other topics, and its effectiveness can be evaluated in future studies.


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Abdullah, S., & Shariff, A. (2008). The effects of inquiry-based computer simulation with cooperative learning on scientific thinking and conceptual understanding of gas laws. Eurasia Journal of Mathematics, Science and Technology Education, 4(4), 387–398.

Ainsworth, S. (1999). The functions of multiple representations. Computers and Education, 33(2–3), 131–152.

Ainsworth, S. (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198.

Ainsworth, S. (2008). The Educational Value of Multiple-representations when Learning Complex Scientific Concepts. Visualization: Theory and Practice in Science Education, 191–208.

Akın, F., Koray, Ö., & Tavukçu, K. (2015). How Effective is Critical Reading in the Understanding of Scientific Texts? Procedia - Social and Behavioral Sciences, 174, 2444–2451.

Amin, M. A., Corebima, A. D., Zubaidah, S., & Mahanal, S. (2016). Identifikasi kemampuan bertanya dan berpendapat calon guru biologi pada mata kuliah fisiologi hewan. Proceeding National Seminar on Pendidikan Biologi, Jember University, 12 November, XV(1), 24–31.

Anderson, L. W., & Krathwohl, D. R. (2001). A Taxonomy for Learning, Teaching, and Assessing. A Revision of Bloom’s Taxonomyof Educational Objectives. (L. W. Anderson, D. R. Krathwohl, P. W. Airasian, K. A. Cruikshank, R. E. Mayer, P. R. Pintrich, J. Raths, & M. C. Wittrock (eds.); ABRIDGED E). Addison Wesley Longman, Inc.

Anderson, L. W., Krathwohl, P. W., Airasian, D. R., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M. C. (2001). Taxonomy for_ Assessing a Revision 0F Bloom’s Taxonomy Of Educational Objectives. - A taxonomy for learning teaching and assessing.pdf

Anderson, T. R., Schonborn, K. J., Plessis, L., Gupthar, A. S., & Hull, T. L. (2013). Multiple Representations in Biological Education. Multiple Representations in Biological Education, Series: Models and Modeling in Science Education, 7(December), 19–38.

Bell, C. V., & Odom, A. L. (2012). Reflections on Discourse Practices During Professional Development on the Learning Cycle. Journal of Science Teacher Education, 23(6), 601–620.

Bıyıklı, C., & Yagcı, E. (2015). The effect of learning experiences designed according to 5e learning model on level of learning an attitude. Abant İzzet Baysal University Journal of Education Faculty, 15(1), 302–325.

Brunec, I. K., Bellana, B., Ozubko, J. D., Man, V., Robin, J., Liu, Z. X., Grady, C., Rosenbaum, R. S., Winocur, G., Barense, M. D., & Moscovitch, M. (2018). Multiple Scales of Representation along the Hippocampal Anteroposterior Axis in Humans. Current Biology, 28(13), 2129-2135.e6.

Bybee, R. W., Taylor, J. A., Gardner, A., Van Scotter, P., Powell, J. C., Westbrook, A., & Landes, N. (2006). The basic 5E instructional model: origins and effectiveness. Office of Science Education National Institutes of Health.

Campbell, M. (2006). The effects of the 5Es learning cycle model on students’ understanding of force and motion concepts (Vol. 62, Issue 1) [University of Central Florida].

Campbell, N. A., & Jane B. Reece. (2012). Biologi (8th ed.). Erlangga.

Carolan, J., Prain, V., & Waldrip, B. (2008). Using representations for teaching and learning in science. Teaching Science, 54(1), 18–23.

Chang, C.-Y. (2010). Does Problem Solving = Prior Knowledge + Reasoning Skills in Earth Science? An Exploratory Study. Research in Science Education, 40(2), 103–116.

Clément, P., & Castéra, J. (2013). Multiple representations of human genetics in biology textbooks. In D.F. Treagust & C.-Y. Tsui (Eds.), Multiple Representations in Biological Education. Springer.

D’Alessio, F. A., Avolio, B. E., & Charles, V. (2019). Studying the impact of critical thinking on the academic performance of executive MBA students. Thinking Skills and Creativity, 31, 275–283.

Diyana, T. N., Haryoto, D., & Sutopo. (2020). Implementation of conceptual problem solving (CPS) in the 5E learning cycle to improve students’ understanding of archimedes principle. AIP Conference Proceedings, 2215.

Dring, J. C. (2019). Problem-Based Learning – Experiencing and understanding the prominence during Medical School: Perspective. Annals of Medicine and Surgery, 47(September), 27–28.

Duran, L., & Duran, E. (2004). The 5E Instructional Model: A Learning Cycle Approach for Inquiry-Based Science Teaching. Science Education Review, 3(2), 49–58.

Faizin, Jupri, A. W., & Jamaluddin. (2018). 5E Learning Cycle Model To Improve Students’ Scientific Attitude. IOSR Journal of Research & Method in Education, 8(3 ver), 3.

Fatmawati, A., Zubaidah, S., Mahanal, S., & Sutopo. (2019). Critical Thinking, Creative Thinking, and Learning Achievement: How They are Related. Journal of Physics: Conference Series, 1417(1).

Fatmawati, A., Zubaidah, S., Mahanal, S., & Sutopo, S. (2022). Representation Skills of Students with Different Ability Levels when Learning Using the LCMR Model. Pegem Egitim ve Ogretim Dergisi, 13(1), 177–192.

Fatmawati, A., Zubaidah, S., Sutopo, S., & Mahanal, S. (2023). The Effect of Learning Cycle Multiple Representation Model on Biology Students’ Critical Thinking Perceived from Academic Ability. AIP Conference Proceedings, 2569(January).

Furtak, E. M., Hardy, I., Beinbrech, C., Shavelson, R. J., & Shemwell, J. T. (2010). A framework for analyzing evidence-based reasoning in science classroom discourse. Educational Assessment, 15(3), 175–196.

Hahamy, A., Macdonald, S. N., van den Heiligenberg, F., Kieliba, P., Emir, U., Malach, R., Johansen-Berg, H., Brugger, P., Culham, J. C., & Makin, T. R. (2017). Representation of Multiple Body Parts in the Missing-Hand Territory of Congenital One-Handers. Current Biology, 27(9), 1350–1355.

Hopkins, W. G., & Hüner, N. P. A. (2008). Introduction to plant physiology 4th ed. (K. Witt, J. Foxman, & L. Muriello (eds.); 4th ed.). John Wiley & Sons, Inc.

Huang, X., Lee, J. C. K., & Dong, X. (2019). Mapping the factors influencing creative teaching in mainland China: An exploratory study. Thinking Skills and Creativity, 31(November 2018), 79–90.

Hubber, P., Tytler, R., & Haslam, F. (2010). Teaching and learning about force with a representational focus: Pedagogy and teacher change. Research in Science Education, 40(1), 5–28.

Husni, M., Jamaluddiin, J., & Sedijani, P. (2019). Effect of Inductive Thinking Learning Model towards the Understanding of Science Concept , Science Process Skills , and Critical Thinking Ability of Junior High Schools. International Journal of Multicultural and Multireligious Understanding, 6(6), 234–242.

Ihejiamaizu, C. C., Ukor, D. D., & Neji, H. A. (2018). Utilization of 5Es’ constructivist approach for enhancing the teaching of difficult concepts in biology. Global Journal of Educational Research, 17(1), 55.

Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012). The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning. Cognitive Science, 36(5), 757–798.

Kolb, A. Y., & Kolb, D. A. (2017). Experiential Learning Theory as a Guide for Experiential Educators in Higher Education. ELTHE: A Journal for Engaged Educators, 1(1), 7–45.

Kong, H. (2012). Encyclopedia of the Sciences of Learning. In Encyclopedia of the Sciences of Learning.

Krathwohl, D. R. (2002). A Revision of Bloom’s Taxonomy. Theory into Practice, 41(4), 212–219.

Malik, A., & Ubaidillah, M. (2020). Students critical-creative thinking skill: A multivariate analysis of experiments and gender. International Journal of Cognitive Research in Science, Engineering and Education, 8(Special Issue 1), 49–58.

Namgyel, T., & Bharaphan, K. (2017). The Development of Simulation and Game in 5E Learning Cycle to Teach Photoelectric Effect for Grade 12 Students. Asia-Pacific Forum on Science Learning and Teaching, 18(2), 1–30.

Nitjarunkul, K. (2015). The Study of Concepts Understanding and Using Competence of Teachers in Educational Innovation and Technology for Teaching Management at Schools of the Unrest Areas of Three Southern Border Provinces of Thailand. Procedia - Social and Behavioral Sciences, 174, 2473–2480.

Noviyanti, I. N., Mukti, R. W., Yuliskurniawati, D. I., Mahanal, S., & Zubaidah, S. (2019). Students’ scientific argumentation skills based on differences in academic ability. Journal of Physics: Conference Series, 1241(1).

Özbek, G., Çelik, H., Ulukök, Ş., & Sarı, U. (2012). 5E and 7E Instructional Models Effect on Science Literacy. Journal of Research in Education and Teaching, 11(3), 190–201.

Prain, V., & Tytler, R. (2012). Learning Through Constructing Representations in Science: A framework of representational construction affordances. International Journal of Science Education, 34(17), 2751–2773.

Quitadamo, I. J., & Kurtz, M. J. (1993). Learning to Improve: Using Writing to Increase Critical Thinking Performance in General Education Biology. CBE - Life Sciences Education, 6, 1–15.

Rau, M. A., & Matthews, P. G. (2017). How to make ‘more’ better? Principles for effective use of multiple representations to enhance students’ learning about fractions. ZDM - Mathematics Education, 49(4), 531–544.

Reinburg, C., Ledbetter, R., Siegel, D., Silen, A., & Yudkin, D. (2018). STEM Road Map for High School. National Science Teachers Association.

Schönborn, K. J., & Bögeholz, S. (2009). Knowledge transfer in biology and translation across external representations: Experts’ views and challenges for learning. International Journal of Science and Mathematics Education, 7(5), 931–955.

Seven, S., Tiryaki, S., & Ceylan, H. (2017). The Effect of the 5E Learning Cycle Model and Cooperative Learning Method in the Constructivist Approach on Academic Success and Students’ Attitude towards Subject of “Sound.” Journal of Education, Society and Behavioural Science, 21(4), 1–11.

Snajdr, E. (2011). Using the 5E Learning Cycle of Science Education to Teach Information Skills. Indiana Libraries, 30(2), 21–24.

Sumarno, S., Ibrahim, M., & Supardi, Z. A. I. (2019). Complexity of student’s argument in reasoning plant tissue system through multiple representations. Journal of Physics: Conference Series, 1157(2).

Sunyono, S., & Meristin, A. (2018). The effect of multiple representation-based learning (MRL) to increase students’ understanding of chemical bonding concepts. Jurnal Pendidikan IPA Indonesia, 7(4), 399–406.

Sunyono, Yuanita, L., & Ibrahim, M. (2015). Supporting Students in Learning with Multiple Representation to Improve Student Mental Models on Atomic Structure Concepts. Science Education International, 26(2), 104–125.

Sutopo. (2013). Improving Students ’ Representational Skill and Generic Science Skill Using Representa-tional Approach. Jurnal Ilmu Pendidikan, 19(1), 1–21.

Sutopo, S., & Waldrip, B. (2014). Impact of a Representational Approach on Students’ Reasoning and Conceptual Understanding in Learning Mechanics. International Journal of Science and Mathematics Education, 12(4), 741–765.

Taíz, E., & Zeiger, L. (2010). Plant Physiology 5th ed. In SInauer Associates Inc. (5th ed.).

Taşlıdere, E. (2013). Effect of Conceptual Change Oriented Instruction on Students’ Conceptual Understanding and Decreasing Their Misconceptions in DC Electric Circuits. Creative Education, 04(04), 273–282.

Tindani, T., Lengkana, D., Setyarini, M., & Jalmo, T. (2021). The Use of Horizontal Representation in Students’ Science Book on Energy Subject Matter and its Impact on Students’ Critical Thinking Skills and Visual Literacy. International Conference on Progressive Education.

Tonseenon, K. (2017). The Effects of 5E Learning Cycle Model on Achievement and Science Lessons Design Ability of Science Student Teachers. Proceedings of ISER 58th International Conference, Kobe, Japan, June, 36–39.

Treagust, D. F., & Tsui, C.-Y. (2013). Models and Modeling in Science Education : Multiple Representations in Biological Education. In Paper Knowledge . Toward a Media History of Documents. Springer International Publishing.

Tsui, C.-Y., & Treagust, D. F. (2013). Multiple Representations in Biological Education. Multiple Representations in Biological Education, Series: Models and Modeling in Science Education, 7, 19–38.

Uyanık, G. (2016). Effect of Learning Cycle Approach-based Science Teaching on Academic Achievement, Attitude, Motivation and Retention. Universal Journal of Educational Research, 4(5), 1223–1230.

Waldrip, B., Prain, V., & Carolan, J. (2010). Using multi-modal representations to improve learning in junior secondary science. Research in Science Education, 40(1), 65–80.

Weay, A. L., & Masood, M. (2015). The “Big Picture” of Thematic Multimedia Information Representation in Enhancing Learners’ Critical Thinking and History Reasoning. Procedia - Social and Behavioral Sciences, 197(February), 2058–2065.

Wong, W.-K., Yin, S.-K., Yang, H.-H., & Cheng, Y.-H. (2011). Using Computer-Assisted Multiple Representations in Learning Geometry Proofs. Educational Technology & Society, 14(3), 43–54.

Yaman, S., & Karaşah, Ş. (2018). Effects of Learning Cycle Models on Science Success : a Meta-Analysis Issn 1648-3898 Issn 2538-7138. Journal of Baltic Science Education, 17(1), 65–83.

Zubaidah, S., Corebima, A. D., Mahanal, S., & Mistianah. (2018). Revealing the relationship between reading interest and critical thinking skills through remap GI and remap jigsaw. International Journal of Instruction, 11(2), 41–56.




How to Cite

Siti Zubaidah. (2024). Students’ Concept Mastery in Plant Physiology Course Using Learning Cycle Multiple Representation Model. Pegem Journal of Education and Instruction, 14(3), 91–102.