Strengthening Performance of Secondary Students Along Low-Moderate-High Abilities in Physics Using Group Dynamics and Visual Cue Strategies

Authors

  • Emmanuel Achor Benue State University
  • Comfort Odoh Benue State University
  • Philip Ngbea Benue State University

DOI:

https://doi.org/10.56916/ejip.v4i1.970

Keywords:

Performance in Physics, Group dynamics strategy, Visual cue strategy, Cognitive ability, Low-moderate-high ability

Abstract

This study examined how group dynamics and visual cues strategies can foster academic performance of Senior Secondary II students of different cognitive abilities in Physics in Benue State, Nigeria. Specifically, the study determined which of the ability groups (i.e low, moderate and high) gained more when group dynamics and visual cues strategies were used in teaching Physics. The study adopted quasi-experimental design of pre-test, post-test non-randomized control group type. The population for this study comprised 815 SS II students offering Physics in public secondary schools in Makurdi Local Government Area in the 2023/2024 academic session, while a sample of 114 students was selected using multi-stage sampling procedure. The instruments for data collection are Physics Performance Test (PPT)  and Student Cognitive Ability Test (SCAT).  The PPT SCAT were validated by three experts. The reliability coefficient of the instruments were obtained using K-R20 and found to be 0.81 for PPT and 0.72 for SCAT. The collected data were analyzed using mean and standard deviation to answer research questions and ANCOVA to test the null hypotheses at 0.05 level of significance. Findings revealed that the mean gain in academic performance score of students taught Physics using group dynamics strategy was 22.75 for high, 18.47 for moderate and 3.45 for low ability students. There was significant difference in the mean academic performance scores of low, moderate and high cognitive ability students when group dynamics strategy was used in teaching Physics.The mean gain in academic performance score of students taught Physics using visual cues strategy was 22.79 for high, 15.72 for moderate and 3.22 for low ability students. There was significant difference in the mean academic performance scores of low, moderate and high cognitive ability students when visual cues strategy was used in teaching Physics. The study has established that for both experimental groups (that is, group dynamics and visual cues strategies) the performance of the students increases in the order of low ability →moderate ability → high ability. The study concludes that the effectiveness of the two strategies is dependent on cognitive abilities of the students. The high ability students benefited most, followed by the moderate ability students while the low ability students benefited the least from each of the strategies. It was therefore recommended that teachers of Physics should employ group dynamics and visual cues teaching strategies in Physics class to ensure effective teaching and enhance academic performance of students in the subject and to ensure successful teaching and learning of the subject for improved cognitive abilities of students in Physics, among others.

References

Agogo, P. O. & Achor, E. E. (2019). Research methods and statistics for beginners. Makurdi-Nigeria: Optimism Pub.

Agomuoh, P. C., & Nzewi, U. M. (2013). Impact of demonstration instructional on secondary schoolstudents’ achievement in Mathematics. Journal of the Science Teachers Association of Nigeria, 38 (2),88-93.

Aikehani, M & Bagheridoust, E. (2017). Effect of group dynamics on students’ achievement in Physics. Contemporary Journal of Science Education, 8(4), 56-74.

Akinbobola, O. (2018). Mastery and action learning as strategies to sustain Physics students’ retention in Nigerian senior secondary schools. Asian Journal of Arts, Humanities and Social Studies, 1(1), 9-1-18.

Alekseeva, O., Rzhanova, I., Britova, V.S., &Burdukova, Y.A. (2021). Academic performance and cognitive abilities in primary school students. Journal of Psychology Pedagogics Education, 1(1), 51-64.

Alikhani, M., & Bagheridoust, E. (2017). The effect of group-dynamics oriented instruction on developing Iranian EFL learners’ speaking ability and willingness to communicate. English Language Teaching, 10 (11), 44-58

Araki, H. (2015). Some of the legacy of John von Neumann in physics: Theory of measurement, quantum logic and von Neumann algebras in physics. The legacy of John von Neumann, 50(1), 136-139.

Andala, O., Ngu’mbi, M & Swai, E. (2016). Effects of the teaching methods used on the cognitive learning achievements among the students in Rwandan Universities. IOSR Journal of Research & Method in Education (IOSR-JRME), 6(5), 13-22

Badmus, O. T., & Omosewo, E. (2018). Congruence of Physics and Mathematics: a seasonal consonance between facts and logic. Journal of Science and Mathematics Education, 4(3), 56 – 83

Benue State Ministry of Education. (2022). Research and Statistics Department, Benue State Ministry of Education, Makurdi.

Berkowitz, M. & Sterm, E. (2018). Which cognitive abilities make the difference? Predicting academic achievement in advanced STEM studies. Journal of Intelligence, 6(4), 48-54.

Best, J. R., Miller, P. H., & Jones, L. L. (2010). Executive functions after age 5: Changes and correlates. Developmental Review, 29(3), 180-200.

Bloom, B.S. (1956) Taxonomy of educational objectives, handbook: The cognitive domain. New York: David McKay

Carroll, J. B. (1993). The higher-stratum structure of cognitive abilities: Current evidence supports g and about ten broad factors. Scientific Study of General Intelligence, 5-21.

Cowan, V. (2015). Differentiation of two working memory tasks normed on a large U.S. sample of children 2–7 years old. Child Development. https://10.1111/cdev.13562, 0, 0.Wiley Online Library.

Doff, A. (2018). Teach English – A training course for teachers. Cambridge: Cambridge University Press.

Ellah, B.O., & Achor, E.E. (2015). Cognitive styles and attitude to science of Senior Secondary School Science students of high Cognitive Ability Level. ICSHER JOURNAL, 1(3),25 -32.

Ellah, B. O., Achor, E. E. & Enemari, V. (2019). Problem-solving as correlates of attention span and working memory of low ability students in senior secondary schools. Journal of Education and E-Learning Research, 6(3), 135-141. DOI:10.20448/journal.509.2019.63.135.141

Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. (2019). Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. Journal of experimental psychology, 128(3), 309.

Escalada, L. T., & Zollman, D. A. (2017). An investigation on the effects of using interactive digital video in a physics classroom on student learning and attitudes. Journal of Research in Science Teaching, 34(5), 467-489.

Estysono, E. (2017). Analysis of senior high school students’ physics High Order Thinking Skills (HOTS) in Bantul District. AIL Conference Proceeding, Planning and generating held in Mesidah, Indonesia (22nd August, 2017). DOI: 10.1063/1.4995184

Etukakpan, U. (2022). Cognitive Ability Level and Academic Achievement of Senior Secondary Students in physics in Akwa Ibom North-west District. Scholars Journal of Science and Technology, 3(4), 740–748. https://doi.org/10.53075/Ijmsirq/6655335

Ezema, M., Ugwuanyi, C., Okeke, C., & Orji, E. (2022). Influence of cognitive ability on students’ conceptual change in particulate nature of matter in physics. Journal of Turkish Science Education, 19(1), 194-217.

Fin, A.S., Kraft, M.A., West, M.R., Leonard, J.A., Bisch, C.E., Martin, R.E., Sheridan,

M.A., Gabrieli, C.F., & Gabrieli, J.D. (2014). Cognitive skills, student achievement tests, and schools. Psychological Science, 25(3), 736-744.

Gathercole, S. E., Pickering, S. J., Knight, C. & Stegmann, Z. (2019). Working memory skills and educational attainment: evidence from National Curriculum Assessments at 7 and 14 Years of Age. Applied Cognitive Psychology, 18, 1-16. https://doi.org/10.1002/acp.934

Grob, K., Rhôneck, C.V &Vôlker, V. (2019). Cognitive abilities, psychological motives, and social interactions as components of long-term learning in basic electricity. Trema, 16(1), 3-14.

He, X., Wang, H., Friesen, D., Shi, Y., Chang, F & Liu, H. (2020). Cognitive ability and academic performance among left-behind children: evidence from rural China. Compare: A Journal of Comparative and International Education, 1(17), 34 – 51 DOI: 10.1080/03057925.2020.1848520

Jehad, T. (2019). Determined the preferred cognitive learning patterns among secondary students and their effect on their cognitive abilities in physics. International Education Studies, 12(6), 36 – 44

Kail, R., & Salthouse, T. A., (2014). Processing speed as a mental capacity. Acta Psychologica, 86, 199–225

Kaswa, J.M. (2015). The effect of visual learning aids on students’ academic performance in public secondary schools: a case of Magu district secondary schools. A Dissertation submitted to Open University of Tanzania. Retrieved https://repository.out.ac.tz on 07-09-2021.

Kim, T. & Holzer, M. (2015). Public employees and performance appraisal a study of antecedents to employees’ perception of the process. Available at: https://www.researchgate.net/publication/276270443/

Kwahar, N & Onov, P. (2017). Design and Analysis of Social and Management Research Studies: A Practical Guide. Makurdi: Bardens Publishers.

Lusweti, S., Kwena, J. & Mondoh, H. (2018). Predictive power of cognitive styles on academic performance of students in selected national secondary schools in Kenya. Cogent Psychology, 5(1), 1-19.

Marti, P. (2023). Teaching methods and academic performance. Journal of Education, 15(2), 45-56.

Muzaki, W., Madinah, N & Ejuu, G. (2020) . Group dynamics and student cognitive engagement in class tasks in institutions of higher learning. – an integrative review. International Journal of Humanities Social Sciences and Education (IJHSSE) 7, (12), 45-52 ISSN 2349 Retrieved from www.arcjournals.org

Mvula, A. (2020). Teaching methods and students’ academic performance in kinematical motion: graphical interpretation and conceptual understanding. American Journal of Social Sciences and Humanities 5(1), 69-103

Nandana, W.L. (2015). Effect of visual cues and outcome feedback on Physics problem solving in an online system. Master’s thesis submitted to the Department of Physics, College of Arts and Sciences, Kansas State University, Manhattan, Kansas.

Federal ministry of Education (2013). National policy on education. Abuja: Govt. Press

NECO (2013-2021). Chief examinations’ report. Department of Records and Statistics, Minna.

Ochogba, C.O., Ogide, C.J & Ogide, C.G. (2019). Effect of demonstration method on students’ academic performance in Basic Technology in Secondary Schools in Ogba/Egbema/Ndoni Local Government Area, Rivers State, Nigeria. International Journal of Innovative Scientific & Engineering Technologies Research 7(2):28-32

Odewumi, M. (2020). Impact of visual learning on Secondary School Biology Students' Academic Performance in Ilorin, Nigeria. Indonesian Journal of Science and Education 4(2):83-98

Okeke, V. & Oji, R.O. (2022). The Nigerian state and the proliferation small arm and light weapons in the Northern part of Nigeria. Journal of Educational and Social Research, 42(2), 415-421.

Olufunminiyi, A. (2018). Bridging gap between low and average cognitive ability levels students using mastery and action learning strategies in Nigerian senior secondary school Physics. Journal of Global Research in Education and Social Science, 11(3), 132-140.

Peng, E. (2020). The impact of a classroom intervention on grade 10 students' argumentation skills, informal reasoning, and conceptual understanding of science. Journal of Research in Science Teaching, 47(8),952-977

Piaget, J. (1956). The construction of reality in the child. New York, NY: Basic Books.

Pope, A.W. & Bierman, K.L. (2019). Predicting adolescent peer problems and antisocial activities: the relative roles of aggression and dysregulation. Developmental Psychology, 35(1), 335-346.

Salkind, N. J. (2017). Tests and measurement for people who (think they) hate tests & measurement. 3rd ed. Thousand Oaks, Calif: SAGE Publications.

Shaw, J. D., Shepherd, A. N., & Davis, M. C. (2020). Group dynamics. In L. M. Smith & R. K. Jones (Eds.), Encyclopedia of Group Processes and Intergroup Relations. Wiley.

Sternberg, R. J. (2017). We can do better than fads. In S. O. Lilienfeld, I. D. Waldman (Eds.), Psychological science under scrutiny: Recent challenges and proposed solutions (pp. 340–348).

Sternberg, R., Kaufman, J., & Grigorenko, E. (2008). Applied Intelligence. New York: Cambridge University Press. http://dx.doi.org/10.1017/CBO9780511611445

WAEC (2020). Examinations’ report. Department of Records and Statistics, Abuja

WAEC (2013-2022). Analysis of results. WAEC office, Abuja, Nigeria

Walberg, H. J. (1981). A psychological theory of educational productivity. In F. H. Farley & N. Gordon (Eds.): Psychology and education (81–110). Chicago: National Society for the Study of Education.

Yenilmez, A., Sungur, S. & Tekkaya, C. (2006). Students' achievement in relation to reasoning ability, prior knowledge and gender. Research in Science and Technological Education 24(1):129-138. DOI: 10.1080/02635140500485498

Zhang, N. & Skoric, M. M. (2018). Media use and environmental engagement: Examining differential gains from news media and social media. International Journal of Communication, 12 (01,380-403.

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Published

2025-01-02

How to Cite

Achor, E., Odoh, C., & Ngbea, P. (2025). Strengthening Performance of Secondary Students Along Low-Moderate-High Abilities in Physics Using Group Dynamics and Visual Cue Strategies . Edukasiana: Jurnal Inovasi Pendidikan, 4(1), 32–49. https://doi.org/10.56916/ejip.v4i1.970

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