Metacognitive awareness perceptions of students with high and low scores on TIMSS-like science tests

Metacognitive awareness perceptions of students with high and low scores on TIMSS-like science tests

Автор: Sulaiman M. Al-Balushi, Ibrahim S. Al-Harthy, Rashid S. Almehrizi, Abdullah K. Ambusiaidi, Khalid K. Al-Saadi, Mohammed S. Al-Aghbari, Moza Al-Balushi, Khadija A. Al-Balushi

Журнал: International Journal of Cognitive Research in Science, Engineering and Education @ijcrsee

Рубрика: Original research

Статья в выпуске: 3 vol.10, 2022 года.

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The current study explores the differences in metacognitive awareness perceptions of students who had high and low scores on TIMSS-like science tests. The sample consisted of 937 Omani students, 478 in Grade Five and 459 in Grade Nine. TIMSS-like tests were specially designed for both grade levels, and students also completed a metacognitive awareness perceptions inventory which explored their use of four main skills: planning, information management strategies, debugging strategies and evaluation. MANOVA was used to analyze the data. The findings indicated that students with high scores in the TIMSS-like test out-performed students with low scores in the test on all four metacognitive skills surveyed. This was true for all three performance areas analysed: performance in the TIMSS-like test as a whole, performance in lower-level test questions and performance in higher-level test questions. These findings highlight the extent to which students’ metacognitive skills influence their performance in science tests. The study recommends that students be trained to improve their metacognitive skills, reviews several methods for doing this, and suggests that such training might better prepare them for taking science tests. However, it also notes that further research is needed to explore the impact of metacognitive training on student performance in specific science examinations such as TIMSS.

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Debugging, evaluation, information management, metacognition, planning, science, timss

Короткий адрес: https://sciup.org/170198689

IDR: 170198689   |   DOI: 10.23947/2334-8496-2022-10-3-73-82

Список литературы Metacognitive awareness perceptions of students with high and low scores on TIMSS-like science tests

  • Adey, P. (1999). The Science of Thinking, and Science for Thinking: A Description of Cognitive Acceleration through Science Education (CASE). Innodata Monographs 2. UNESCO International Bureau of Education. Retrieved from http://www. ibe.unesco.org/fileadmin/user_upload/archive/Publications/innodata/inno02.pdf
  • Akben, N. (2020). Effects of the problem-posing approach on students’ problem solving skills and metacognitive awareness in science education. Research in Science Education, 50(3), 1143-1165. https://doi.org/10.1007/s11165-018-9726-7
  • Al-Balushi, S. M., & Martin-Hansen, L. (2019). The development of students’ justifications for their positions regarding two theoretical models: Electron cloud or sodium chloride crystal—After engaging in different learning activities. Journal of Research in Science Teaching, 56(8), 1011-1036. https://doi.org/10.1002/tea.21535
  • Al-Balushi, S. M., Al-Harthy, I. S., & Almehrizi, R. S. (2022). Attention Drifting Away While Test-Taking: Mind-Wandering in Students with Low-and High-Performance Levels in TIMSS-Like Science Tests. International Journal of Science and Mathematics Education, 1-22. https://doi.org/10.1007/s10763-022-10258-6
  • Al-Harthy, I. S. (2016). Prediction Accuracy: The Role of Feedback in 6th Graders’ Recall Predictions. International Education Studies, 9(3), 212-216. https://doi.org/10.5539/ies.v9n3p212
  • Al-Harthy, I. S., Was, C. A., & Hassan, A. S. (2015). Poor performers are poor predictors of performance and they know it: Can they improve their prediction accuracy. Journal of Global Research in Education and Social Science, 4(2), 93-100. Retrieved from https://www.ikprress.org/index.php/JOGRESS/article/view/2322
  • Antonio, R. P. (2020). Developing Students’ Reflective Thinking Skills in a Metacognitive and Argument-Driven Learning Environment. International Journal of Research in Education and Science, 6(3), 467-483. https://doi.org/10.46328/ ijres.v6i3.1096
  • Aurah, C. M., Cassady, J. C., & McConnell, T. J. (2014). Genetics problem solving in high school testing in Kenya: Effects of metacognitive prompting during testing. Electronic Journal of Science Education, 18(8), 1-26. Retrieved from https:// ejrsme.icrsme.com/article/view/13519
  • Baker, L. & Brown, A. L. (1984). Metacognition skills and reading. In P. D. Person, R. Barr, M. L. Kamil, & P. Mosenthal (Eds.), Handbook of Reading Research (pp. 353-394). New York: Longman. Retrieved from https://cir.nii.ac.jp/ crid/1573105975197503872
  • Balashov, E., Pasichnyk, I., Kalamazh, R., & Zdrobylko, T. (2020). Reflexive competence in metacognitive monitoring of learning activity of HEI students. International Journal of Cognitive Research in Science, Engineering and Education, 8(Special issue), 17–28. https://doi.org/10.23947/2334-8496-2020-8-SI-17-28
  • Bates, B. (2019). Learning Theories Simplified. Sage. Retrieved from https://uk.sagepub.com/en-gb/eur/learning-theories-simplified/book261881
  • Brown, A. L., Bransford, J. D., Ferrara, R. A., & Campione, J. C. (1983). Learning, remembering and understanding in JH Flavell & EM Markman (eds.) Handbook of child psychology. Cognitive development, 3. (pp. 77-166). New Youk: Wiley. Retrieved from https://eric.ed.gov/?id=ED217401
  • Casselman, B. L., & Atwood, C. H. (2017). Improving general chemistry course performance through online homework-based metacognitive training. Journal of Chemical Education, 94(12), 1811-1821. https://doi.org/10.1021/acs. jchemed.7b00298
  • Chiu, M. S. (2012). Differential psychological processes underlying the skill-development model and self-enhancement model across mathematics and science in 28 countries. International Journal of Science and Mathematics Education, 10(3), 611-642. https://doi.org/10.1007/s10763-011-9309-9
  • Coutinho, S. A. (2007). The relationship between goals, metacognition, and academic success. The Journal of Doctoral Research in Education, 7(1), 39–47. Retrieved from https://www.educatejournal.org/index.php/educate/article/ view/116/0
  • Diken, E. H. (2020). Cognitive and metacognitive strategies of 6th-grade students to answer multiple-choice questions on “human body systems”. International Journal of Curriculum and Instruction, 12(2), 436-456. Retrieved from http://ijci. wcci-international.org/index.php/IJCI/article/view/435
  • Durley, H. C. K., & Ge, X. (2019). Social Discourse Influencing Elementary Teachers’ Cognition and Metacognition for Problem Solving in Open-Ended Professional Development. New Waves-Educational Research and Development Journal, 22(1), 55-71. Retrieved from https://files.eric.ed.gov/fulltext/EJ1229364.pdf
  • Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational psychologist, 46(1), 6-25. https://doi.org/10.1080/00461520.2011.538645
  • Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American psychologist, 34(10), 906-911. https://doi.org/10.1037/0003-066X.34.10.906
  • Hawker, M. J., Dysleski, L., & Rickey, D. (2016). Investigating general chemistry students’ metacognitive monitoring of their exam performance by measuring postdiction accuracies over time. Journal of Chemical Education, 93(5), 832-840. https://doi.org/10.1021/acs.jchemed.5b00705
  • Hong, W., Bernacki, M. L., & Perera, H. N. (2020). A latent profile analysis of undergraduates’ achievement motivations and metacognitive behaviors, and their relations to achievement in science. Journal of Educational Psychology, 112(7), 1409-1430. http://dx.doi.org/10.1037/edu0000445
  • Jaleel, S., & Premachandran, P. (2016). A Study on the Metacognitive Awareness of Secondary School Students. Universal Journal of Educational Research, 4(1), 165–172. https://doi.org/10.13189/ujer.2016.040121
  • Joseph, N. (2010). Metacognition needed: Teaching middle and high school students to develop strategic learning skills. Preventing School Failure: Alternative Education for Children and Youth, 54(2), 99-103. https://doi. org/10.1080/10459880903217770
  • Kang, H., & Cogan, L. (2022). The differential role of socioeconomic status in the relationship between curriculum-based mathematics and mathematics literacy: The link between TIMSS and PISA. International Journal of Science and Mathematics Education, 20(1), 133-148. https://doi.org/10.1007/s10763-020-10133-2
  • Larkin, S. (2006). Collaborative group work and individual development of metacognition in the early years. Research in science education, 36(1), 7-27. https://doi.org/10.1007/s11165-006-8147-1
  • Larkin, S. (2010). Metacognition in young children. London: Routledge. Retrieved from https://www.routledge.com/ Metacognition-in-Young-Children/Larkin/p/book/9780415463584
  • Lee, C. B., Koh, N. K., Cai, X. L., & Quek, C. L. (2012). Children’s use of meta-cognition in solving everyday problems: Children’s monetary decisionmaking. Australian Journal of Education, 56(1), 22-39. https://doi.org/10.1007/BF03216907
  • Liu, S., & Liu, M. (2020). The impact of learner metacognition and goal orientation on problem-solving in a serious game environment. Computers in Human Behavior, 102, 151-165. https://doi.org/10.1016/j.chb.2019.08.021
  • López-Vargas, O., Ibáñez-Ibáñez, J., & Racines-Prada, O. (2017). Students’ metacognition and cognitive style and their effect on cognitive load and learning achievement. Journal of educational technology & society, 20(3), 145-157. Retrieved from https://www.jstor.org/stable/26196126
  • Mahdavi, M. (2014). An overview: Metacognition in education. International Journal of Multidisciplinary and current research, 2(6), 529-535. Retrieved from http://ijmcr.com/wp-content/uploads/2014/05/Paper5529-535.pdf
  • Martin, M. O., Mullis, I. V. S., & Hooper, M. (Eds.). (2016). Methods and procedures in TIMSS 2015. TIMSS & PIRLS International Study Center. Retrieved from http://timssandpirls.bc.edu/publications/timss/2015-methods.html
  • McCabe, J. (2011). Metacognitive awareness of learning strategies in undergraduates. Memory & cognition, 39(3), 462-476. https://doi.org/10.3758/s13421-010-0035-2
  • Meniado, J. C. (2016). Metacognitive Reading Strategies, Motivation, and Reading Comprehension Performance of Saudi EFL Students. English Language Teaching, 9(3), 117-129. https://doi.org/10.5539/elt.v9n3p117
  • Miller, T. M., & Geraci, L. (2011). Training metacognition in the classroom: The influence of incentives and feedback on exam predictions. Metacognition and Learning, 6(3), 303-314. https://doi.org/10.1007/s11409-011-9083-7
  • Moir, T., Boyle, J., & Woolfson, L. M. (2020). Developing higher-order reading skills in mainstream primary schools: A metacognitive and self-regulatory approach. British Educational Research Journal, 46(2), 399-420. https://doi. org/10.1002/berj.3584
  • Mullis, I. V. S., & Martin, M. O. (Eds.). (2017). TIMSS 2019 assessment framework. International Association for the Evaluation of Educational Achievement. Retrieved from https://timssandpirls.bc.edu/timss2019/frameworks
  • Mullis, I., Martin, M., Foy, D., Kelly, D. & Fishbein, B. (2020). TIMSS 2019 International Results in Mathematics and Science. The International Association for the Evaluation of Educational Achievement (IEA). Retrieved from https://timssandpirls. bc.edu/timss2019
  • Oliver, M. & Venville, G. (2015). Cognitive acceleration through science education: the CASE for thinking through science. In R. Wegerif, L. Li and J. Kaufman, the Routledge International Handbook of Research on Teaching Thinking. Routledge. Retrieved from https://www.taylorfrancis.com/chapters/edit/10.4324/9781315797021-38/cognitive-acceleration-science-education-mary-oliver-grady-venville
  • Oyelekan, O. S., Jolayemi, S. S., & Upahi, J. E. (2019). Relationships among senior school students’ self-efficacy, metacognition and their achievement in Chemistry. Cypriot Journal of Educational Sciences, 14(2), 208-221. https://doi.org/10.18844/ cjes.v14i2.2564
  • Panadero, E., & Alonso Tapia, J. (2014). How do students self-regulate?: review of Zimmerman`s cyclical model of self-regulated learning. Anales de psicologia, 30(2), 450-462. http://dx.doi.org/10.6018/analesps.30.2.167221
  • Rahman, S., & Md Hassan, N. (2017). Problem solving skills, metacognitive awareness, and mathematics achievement: A mediation model. The New Educational Review, 49, 201-212. https://doi.org/10.15804/tner.2017.49.3.16
  • Ruthven, K. (2011). Using international study series and meta-analytic research syntheses to scope pedagogical development aimed at improving student attitude and achievement in school mathematics and science. International Journal of Science and Mathematics Education, 9(2), 419-458. https://doi.org/10.1007/s10763-010-9243-2
  • Saenz, G. D., Geraci, L., & Tirso, R. (2019). Improving metacognition: A comparison of interventions. Applied Cognitive Psychology, 33(5), 918-929. https://doi.org/10.1002/acp.3556
  • Santelmann, L. M., Stevens, D. D., & Martin, S. B. (2018). Fostering master’s students’ metacognition and self-regulation practices for research writing. College Teaching, 66(3), 111-123. https://doi.org/10.1080/87567555.2018.1446898
  • Sari Faradiba, S., Sa’dijah, C., Parta, N., & Rahardjo, S. (2019). Looking without seeing: the role of metacognitive blindness of student with high math anxiety. International Journal of Cognitive Research in Science, Engineering and Education, 7(2), 53–65. https://doi.org/10.5937/IJCRSEE1902053F
  • Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary educational psychology, 19(4), 460-475. https://doi.org/10.1006/ceps.1994.1033
  • Shayer, M., & Adey, P. (2002). Learning intelligence: Cognitive acceleration across the curriculum from 5 to 15 years. Open University Press. Retrieved from https://www.mheducation.co.uk/learning-intelligence-9780335211364-emea
  • Shubber, A. H., Udin, A. B., & Minghat, A. B. (2015). Vickers test simulation to improve metacognitive skills. Procedia-Social and Behavioral Sciences, 204, 45-53. https://doi-org.uoelibrary.idm.oclc.org/10.1016/j.sbspro.2015.08.108
  • Siagan, M. V., Saragih, S., & Sinaga, B. (2019). Development of Learning Materials Oriented on Problem-Based Learning Model to Improve Students’ Mathematical Problem Solving Ability and Metacognition Ability. International electronic journal of mathematics education, 14(2), 331-340. https://doi.org/10.29333/iejme/5717
  • Sutiyatno, S., & Sukarno. (2019). A Survey study: The correlation between metacognitive strategies and reading achievement. Theory and Practice in Language Studies, 9(4), 438-444. http://dx.doi.org/10.17507/tpls.0904.11
  • Tang, K. Y., Wang, C. Y., Chang, H. Y., Chen, S., Lo, H. C., & Tsai, C. C. (2016). The intellectual structure of metacognitive scaffolding in science education: A co-citation network analysis. International Journal of Science and Mathematics Education, 14(2), 249-262. https://doi.org/10.1007/s10763-015-9696-4
  • Tas, Y., Aksoy, G., & Cengiz, E. (2019). Effectiveness of design-based science on students’ learning in electrical energy and metacognitive self-regulation. International Journal of Science and Mathematics Education, 17(6), 1109-1128. https:// doi-org.uoelibrary.idm.oclc.org/10.1007/s10763-018-9923-x
  • Tighezza, M. H. (2014). Modeling relationships among learning, attitude, self-perception, and science achievement for grade 8 Saudi students. International Journal of Science and Mathematics Education, 12(4), 721-740. https://doi.org/10.1007/ s10763-013-9426-8
  • Tippett, C. D. (2010). Refutation text in science education: A review of two decades of research. International journal of science and mathematics education, 8(6), 951-970. https://doi.org/10.1007/s10763-010-9203-x
  • Tok, H., Özgan, H., & Döş, B. (2010). Assessing Metacognitive Awareness And Learning Strategies As Positive Predictors For Success In A Distance Learning Class/Uzaktan Eğitim Sınıfında Başarının Pozitif Yordayıcısı Olarak Bilişötesi Farkındalık Stratejisi Ve Öğrenme Stratejilerinin Değerlend. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 7(14), 123-134. Retrieved from http://www.mku.edu.tr/files/25_dosya_1334516480.pdf
  • Wang, C. L., & Liou, P. Y. (2018). Patterns of motivational beliefs in the science learning of total, high-, and low-achieving students: Evidence of Taiwanese TIMSS 2011 data. International Journal of Science and Mathematics Education, 16(4), 603-618. https://doi.org/10.1007/s10763-017-9797-3
  • Wang, J. R., & Chen, S. F. (2014). Exploring mediating effect of metacognitive awareness on comprehension of science texts through structural equation modeling analysis. Journal of Research in Science Teaching, 51(2), 175-191. https://doi. org/10.1002/tea.21131
  • Wang, J. R., Chen, S. F., Fang, I., & Chou, C. T. (2014). Comparison of Taiwanese and Canadian students’ metacognitive awareness of science reading, text, and strategies. International Journal of Science Education, 36(4), 693-713. https:// doi.org/10.1080/09500693.2013.826841
  • Was, C. A., & Al-Harthy, I. (2015). Developmental differences in overconfidence: When do children understand that attempting to recall predicts memory performance?. The Researcher, 27(1), 1-5. Retrieved from https://www.nrmera.org/wp-content/uploads/2016/02/Was.and_.Al_.Harthy.2015.Vol_.27.Issue_.1.pdf
  • Whitebread, D., Grau, V., & Somerville, M. P. (2018). Commentary: Relationships Between Classroom Dialogue and Support for Metacognitive, Self-Regulatory Development in Educational Contexts. New Directions for Child and Adolescent Development, 2018(162), 137-150. https://doi.org/10.1002/cad.20257
  • Wiley, B., & Güss, C. D. (2007). Metacognition of problem-solving strategies in Brazil, India, and the United States. Journal of cognition and Culture, 7(1-2), 1-25. https://doi.org/10.1163/156853707X171793
  • Zhao, B. (2014). Construction of Independent Learning Network Platform for Engineering Students based on Metacognition. Journal of Educational & Psychological Sciences, 15(03), 559-575. http://dx.doi.org/10.12785/JEPS/150319
  • Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In Handbook of metacognition in education (pp. 299-315). Routledge. Retrieved from https://psycnet.apa.org/record/2010-06038-016
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