A Game-Based Learning Activity to Promote Conceptual Understanding of Chordates’ Phylogeny and Self-Efficacy to Learn Evolutionary Biology
Understanding phylogenetic trees representing evolutionary relationships of living organisms is essential in school biology. Traditional instructions .
- Pub. date: October 15, 2021
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Understanding phylogenetic trees representing evolutionary relationships of living organisms is essential in school biology. Traditional instructions based on lectures and textbooks with pictorial presentations have been proven ineffective to promote students’ understanding of the concept. This study, therefore, developed a game-based learning activity called the VERT card game to enhance students’ learning of the phylogenetic taxonomy of chordates. The VERT card game was designed to lay the foundation for different characteristics of chordate classes, as well as to allow students to construct and interpret their evolutionary relationships based on the phylogenetic tree. The effectiveness of the VERT card game was verified by a pre-test and post-test design with 109 middle school students in Thailand. The statistical result revealed that students’ mean scores increased significantly in the post-test, compared to the pre-test, indicating their improved understanding. In addition, after participating in the learning activity, the student participants were found to increase their self-efficacy to learn evolutionary biology statistically. Also, it showed positive views towards the usefulness of the developed card game as a large number of them expressed that they would like to use it for their lesson reviews and wished to have this form of learning activity in other topics in biology.
Keywords: Chordates, game-based learning, level of use, phylogeny, self-efficacy.
References
Anderson, S. E. (1997). Understanding teacher change: Revisiting the concerns based adoption model. Curriculum Inquiry, 27(3), 331-367. https://doi.org/10.1111/0362-6784.00057
Ballen, C. J., & Greene, H. W. (2017). Walking and talking the tree of life: Why and how to teach about biodiversity. PLoS Biology, 15(3), e2001630. https://doi.org/10.1371/journal.pbio.2001630
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (1982). The psychology of chance encounters and life paths. American Psychologist, 37(7), 747-755. https://doi.org/10.1037/0003-066X.37.7.747
Bandura, A., & Barab, P. G. (1973). Processes governing disinhibitory effects through symbolic modeling. Journal of Abnormal Psychology, 82(1), 1-9. https://doi.org/10.1037/h0034968
Bandura, A., Jeffery, R. W., & Gajdos, E. (1975). Generalizing change through participant modeling with self-directed mastery. Behaviour Research and Therapy, 13(2-3), 141-152. https://doi.org/10.1016/0005-7967(75)90008-X
Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41(3), 586-598. https://doi.org/10.1037/0022-3514.41.3.586
Baum, D. A., & Offner, S. (2015). Phylogenies & tree-thinking. The American Biology Teacher, 70(4), 222–229. https://doi.org/10.2307/30163248
Baum, D. A., Smith, S. D. W., & Donovan, S. S. S. (2005). The tree-thinking challenge. Science, 310(5750), 979–980. https://doi.org/10.1126/science.1117727
Brown, I., & Inouye, D. K. (1978). Learned helplessness through modeling: The role of perceived similarity in competence. Journal of Personality and Social Psychology, 36(8), 900-908. https://doi.org/10.1037/0022-3514.36.8.900
Butsarakam, N., & Yasri, P. (2019). The Effectiveness of the female reproductive (ferep) board game on 10th grade students’ conceptual understanding and attitudes towards the learning of the menstrual cycle. Scholar: Human Sciences, 11(1), 248-248.
Catley, K., Lehrer, R., & Reiser, B. (2005). Tracing a prospective learning progression for developing understanding of evolution. National Academy of Sciences.
Chambliss, C. A., & Murray, E. J. (1979). Efficacy attribution, locus of control, and weight loss. Cognitive Therapy and Research, 3(4), 349-353. https://doi.org/10.1007/BF01184448
Changtong, N., Maneejak, N., & Yasri, P. (2020). Approaches for implementing STEM (Science, Technology, Engineering & Mathematics) activities among middle school students in Thailand. International Journal of Educational Methodology, 6(1), 185 - 198. https://doi.org/10.12973/ijem.6.1.185
Chen, P., Kuo, R., Chang, M., & Heh, S. (2009). Designing a trading card game as educational reward system to improve students’ learning motivations. In Z. Pan, A. D. Cheok, W. Müller & M. Chang (Eds.), Transactions on edutainment III. Lecture notes in computer science, vol 5940 (pp. 116-128). Springer. https://doi.org/10.1007/978-3-642-11245-4_11
Dees, J., & Momsen, J. L. (2016). Student construction of phylogenetic trees in an introductory biology course. Evolution: Education and Outreach, 9(1), 1-9. https://doi.org/10.1186/s12052-016-0054-y
Fidan, M., & Tuncel, M. (2019). Integrating augmented reality into problem based learning: The effects on learning achievement and attitude in physics education. Computers & Education, 142, 103635. https://doi.org/10.1016/j.compedu.2019.103635
Ghazi, S., Roshan, R., & Khan, F. (2021). Influence of Media Negative News on Youth in Gender Perspective: A Case Study of Universities Students of Khyber Pakhtunkhwa. Ilkogretim Online, 20(6), 799-803. http://doi.org/10.17051/ilkonline.2021.06.085
Gibson, J. P., & Cooper, J. T. (2017). Botanical phylo-cards: A tree-thinking game to teach plant evolution. The American Biology Teacher, 79(3), 241-244. https://doi.org/10.1525/abt.2017.79.3.241
Hara, R. J. O. (1998). Population thinking and tree thinking in systematics. Zoological Script/ Zoologica Scripta, 26(4), 323–329. https://doi.org/10.1525/abt.2017.79.3.241
Hawk, T. F., & Shah, A. J. (2007). Using learning style instruments to enhance student learning. Decision Sciences Journal of Innovative Education, 5(1), 1-19. https://doi.org/10.1111/j.1540-4609.2007.00125.x
Hingorjo, M. R., & Jaleel, F. (2012). Analysis of one-best MCQs: the difficulty index, discrimination index and distractor efficiency. Journal of the Pakistan Medical Association, 62(2), 142-147.
Hope, M. (2009). The importance of direct experience: A philosophical defence of fieldwork in human geography. Journal of Geography in Higher Education, 33(2), 169-182. https://doi.org/10.1080/03098260802276698
Jiménez, A., & de la Fuente, D. (2016). Learning from others: The impact of vicarious experience on the psychic distance and FDI relationship. Management International Review, 56(5), 633-664. http://doi.org/10.1007/s11575-015-0269-0
Kordaki, M. (2015). A Constructivist, Modeling Methodology for the Design of Educational Card Games. Procedia - Social and Behavioral Sciences, 191, 26–30. https://doi.org/10.1016/j.sbspro.2015.04.669
Kwon, O. N., Rasmussen, C., & Allen, K. (2005). Students' retention of mathematical knowledge and skills in differential equations. School Science and Mathematics, 105(5), 227-239. https://doi.org/10.1111/j.1949-8594.2005.tb18163.x
Lazarowitz, R., & Lieb, C. (2006). Formative assessment pre-test to identify college students’ prior knowledge, misconceptions and learning difficulties in biology. International Journal of Science and Mathematics Education, 4(4), 741-762. https://doi.org/10.1007/s10763-005-9024-5
Luchi, K. C. G., Cardozo, L. T., & Marcondes, F. K. (2019). Increased learning by using board game on muscular system physiology compared with guided study. Advances in Physiology Education, 43(2), 149-154. https://doi.org/10.1152/advan.00165.2018
Maneejak, N., & Yasri, P. (2019). NSMU: A reflection model for nursing students practicing with High Fidelity Simulation. International Journal of Innovation, Creativity and Change, 5(2), 54-66.
Meekaew, K., & Yasri, P. (2020). MicroEvo: An educational game to enhance high school students’ learning performance of microevolution. International Journal of Innovation, Creativity and Change, 13(8), 1333-1345.
Miralles, L., Garcia-Vazquez, E., & Dopico, E. (2021). Game-based learning for engaging citizens in biopollution control. Interdisciplinary Science Reviews, Advance online publication. https://doi.org/10.1080/03080188.2021.1891684
Newhouse, C. P. (2001). Applying the Concerns-based Adoption Model to Research on Computers in Classrooms. Journal of Research on Computing in Education, 33(5). https://doi.org/10.1097/00124645-200401000-00008
Ninaus, M., Greipl, S., Kiili, K., Lindstedt, A., Huber, S., Klein, E., Karnath, H. O., & Moeller, K. (2019). Increased emotional engagement in game-based learning–A machine learning approach on facial emotion detection data. Computers & Education, 142, 103641. https://doi.org/10.1016/j.compedu.2019.103641
Novick, L. R., & Catley, K. M. (2007). Understanding phylogenies in biology: The influence of a gestalt perceptual principle. Journal of Experimental Psychology: Applied, 13(4), 197–223. https://doi.org/10.1037/1076-898X.13.4.197
Novick, L. R., & Catley, K. M. (2012). Reasoning about evolution’s grand patterns. American Educational Research Journal, 50(1), 138–177. https://doi.org/10.3102/0002831212448209
Omland, K. E., Cook, L. G., & Crisp, M. D. (2008). Tree thinking for all biology: The problem with reading phylogenies as ladders of progress. BioEssays, 30(9), 854–867. https://doi.org/10.1002/bies.20794
Piyawattanaviroj, P., Maleesut, T., & Yasri, P. (2019). An educational card game for enhancing students' learning of the periodic table. In J. Kutaka-Kennedy (Ed.), Proceedings of the 2019 3rd International Conference on Education and Multimedia Technology (pp. 380-383). https://doi.org/10.1145/3345120.3345165
Praputpittaya, T., & Yasri, P. (2020). The COPE Model for Promoting Cooperative Learning in Classrooms. International Journal of Innovation, Creativity and Change, 12(6), 349-361.
Punyasettro, S., Wangwongwiroj, T., & Yasri, P. (2021). An assessment tool for measuring learners’ self-Efficacy. Psychology and Education Journal, 58(4), 104-110.
Qian, M., & Clark, K. R. (2016). Computers in human behavior game-based learning and 21st century skills: A review of recent research. Computers in Human Behavior, 63, 50–58. https://doi.org/10.1016/j.chb.2016.05.023
Rosenthal, T. L., & Zimmerman, B. J. (1978). Social learning and cognition. Academic Press.
Sadler, T. D., Romine, W. L., Stuart, P. E., & Merle‐Johnson, D. (2013). Game‐based curricula in biology classes: Differential effects among varying academic levels. Journal of Research in Science Teaching, 50(4), 479-499. https://doi.org/10.1002/tea.21085
Schunk, D. H. (1989). Self-efficacy and achievement behaviors. Educational Psychology Review, 1(3), 173-208. https://doi.org/10.1007/BF01320134
Seangdeang, K., & Yasri, P. (2019). Enhance Lower Secondary Students’ Scientific Literacy and Conceptual Understanding of Tonicity Through Blended Learning. In S. Cheung, J. Jiao, L. K. Lee, X. Zhang, K. Li & Z. Zhan (Eds), Technology in Education: Pedagogical Innovations. ICTE 2019. Communications in Computer and Information Science (pp. 37-43). Springer. https://doi.org/10.1007/978-981-13-9895-7_4
Sousa, M. J., & Rocha, Á. (2019). Leadership styles and skills developed through game-based learning. Journal of Business Research, 94, 360-366. https://doi.org/10.1016/j.jbusres.2018.01.057
Sultana, N. (2015). Application of Concerned based adoption model (CBAM) for launching the information technology based teacher education programme at AIOU. Asian Journal of Social Sciences & Humanities, 4(3), 153-166.
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273-1296. https://doi.org/10.1007/s11165-016-9602-2
Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., & Kumar, S. (2011). MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Molecular Biology and Evolution, 28(10), 2731-2739. https://doi.org/10.1093/molbev/msr121
Threekunprapa, A., & Yasri, P. (2020). Unplugged coding using flowblocks for promoting computational thinking and programming among secondary school students. International Journal of Instruction. 13(3), 207-222. https://doi.org/10.29333/iji.2020.13314a
Threekunprapa, A., & Yasri, P. (2021). The role of augmented reality-based unplugged computer programming approach in the effectiveness of computational thinking. International Journal of Mobile Learning and Organisation, 15(3), 233-250. https://doi.org/10.1504/IJMLO.2021.116506
Wangwongwiroj, T., & Yasri, P. (2021). A correlational study of self-efficacy and mindset: Building growth mindset through mastery experience and effort-based verbal persuasion. Psychology and Education Journal, 58(2), 5260-5268.
Young, A. K., White, B. T., & Skurtu, T. (2013). Teaching undergraduate students to draw phylogenetic trees: performance measures and partial successes. Evolution: Education and Outreach, 6(1), 1–15. https://doi.org/10.1186/1936-6434-6-16