Measurement model testing: Adaption of self-efficacy and metacognitive awareness among university students
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Department of Mathematics and Science Education, Faculty of Education, University of Malaya, Kuala Lumpur, MALAYSIA
Publication date: 2022-08-16
EURASIA J. Math., Sci Tech. Ed 2022;18(9):em2153
Individuals’ perceptions or beliefs about their mathematical aptitude are commonly classified as mathematics self-efficacy. Conversely, metacognitive awareness is characterized as a phenomenon that presents itself in a variety of ways as people engage with objects and circumstances in their everyday lives. The objective of this quantitative research was to evaluate the reliability of a self-efficacy and metacognitive awareness test administered to 184 undergraduate university students. In completing tasks in mathematical reasoning, students clearly discriminated between their self-efficacy and metacognitive awareness. Self-efficacy demonstrated discriminant and convergent validity in these quantitative investigations, which conforms to the Bandura (1993) theory and contains three dimensions: course self-efficacy, test self-efficacy, and future self-efficacy. Metacognitive awareness shows discriminant and convergent validity, which relates to Flavell (1979) theory and contains six factors: procedural knowledge, declarative knowledge, conditional knowledge, monitoring, planning, and evaluation. The casual correlation approach was used in the research design to explore the influence of metacognitive awareness and self-efficacy on mathematical thinking. The Cronbach’s alpha internal consistency reliability research demonstrated that the self-efficacy and metacognitive awareness instrument that was developed was exceptionally reliable and may be used by researchers to assess self-efficacy and metacognitive awareness among university students.
Adinda, A., Purwanto, Parta, I. N., & Chandra, T. D. (2021). Investigation of students’ metacognitive awareness failures about solving absolute value problems in mathematics education. Eurasian Journal of Educational Research, 2021(95), 17-35.
Agustyaningrum, N., Hanggara, Y., Husna, A., Abadi, A. M., & Mahmudii, A. (2019). An analysis of students’ mathematical reasoning ability on abstract algebra course. International Journal of Scientific and Technology Research, 8(12), 2800-2805.
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.
Aprisal, A., & Abadi, A. M. (2018). Improving students’ mathematical reasoning and self-efficacy through Missouri mathematics project and problem-solving. Beta: Jurnal Tadris Matematika [Beta: Journal of Tadris Mathematics], 11(2), 191-208.
Asy’ari, M., Mirawati, B., Zubaidah, S., & Mahanal, S. (2022). Students’ metacognitive awareness in natural science learning: An overview by gender. Jurnal Penelitian Pendidikan IPA [Science Education Research Journal], 8(1), 67-72.
Awang, Z. (2018). A handbook on structural equation modeling using AMOS. Universiti Teknologi MARA Publication.
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117-148.
Blotnicky, K. A., Franz-Odendaal, T., French, F., & Joy, P. (2018). A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students. International Journal of STEM Education, 5(1), 1-15.
Brown, A. L. (1978). Knowing when, where, and how to remember: A problem of metacognition technical report No.47. National Institute of Education.
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258.
Celik, E., & Kocak, L. (2018). Suppression effect of sensation seeking on the relationship between general self-efficacy and life satisfaction among emerging adults. International Journal of Instruction, 11(4), 337-352.
Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education. In K. M. L. Cohen, & L. Manion (Ed.), Research methods in education. Routledge.
Drysdale, M. T. B., & McBeath, M. (2018). Motivation, self-efficacy and learning strategies of university students participating in work-integrated learning. Journal of Education and Work, 31(5-6), 478-488.
Flavell, J. H. (1979). Metacognition and cognitive monitoring a new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906-911.
Gurefe, N., & Bakalim, O. (2018). Mathematics anxiety, perceived mathematics self-efficacy and learned helplessness in mathematics in faculty of education students. International Online Journal of Educational Sciences, 10, 3.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Cengage Learning.
Karaoglan Yilmaz, F. G. (2022). The effect of learning analytics assisted recommendations and guidance feedback on students’ metacognitive awareness and academic achievements. Journal of Computing in Higher Education, 34(2), 396-415.
Khodaei, S., Hasanvand, S., Gholami, M., Mokhayeri, Y., & Amini, M. (2022). The effect of the online flipped classroom on self-directed learning readiness and metacognitive awareness in nursing students during the COVID-19 pandemic. BMC Nursing, 21(1), 1-10.
Lestari, W., & Jailani. (2018). Enhancing an ability mathematical reasoning through metacognitive strategies. Journal of Physics: Conference Series, 1097, 1.
Liu, T., Chen, X., Liu, M., Zhang, Y., Xin, T., & Wang, Y. (2020). The effects of children’s self-educational aspiration and self-efficacy on mathematics achievement: A moderated chained mediation model. Anales de Psicologia [Annals of Psychology], 36(2), 262-270.
Mahasneh, A. M., & Alwan, A. F. (2018). The effect of project-based learning on student teacher self-efficacy and achievement. International Journal of Instruction, 11(3), 511-524.
Markus, K. A. (2012). Principles and practice of structural equation modeling by Rex B. Kline. Structural Equation Modeling: A Multidisciplinary Journal, 19(3), 509-512.
May, D. K. (2009). Mathematics self-efficacy and anxiety questionnaire. University of Georgia Press.
Mohammadi, A., Mohammadi, M., Keshvari, N. Z., Mojtahedzadeh, R., Asadzandi, S., & Rahimifar Tehrani, B. (2022). Does teaching metacognitive skills through peer-conducted flipped classroom improve high school students’ self-regulation? Journal of E-Learning and Knowledge Society, 18(1), 94-100.
Moxon, J. (2022). Psychometric evaluation of abridged versions of the metacognitive awareness inventory in the Japanese population. Current Psychology, 0123456789, 2-4.
National Council of Supervisors of Mathematics. (2020). The common core state standards for mathematics. National Council of Supervisors of Mathematics, 1-6.
National Council of Teachers of Mathematics. (2021). Moving forward: Mathematics learning in the era of COVID-19. Moving Forward, June 2020, 1-18.
Olson, G. A., & Johnson, H. L. (2022). Promote students’ function reasoning with techtivities. Primus, 32(5), 610-620.
Rahman, S., Yasin, R. M., Salamuddin, N., & Surat, S. (2014). The use of metacognitive strategies to develop research skills among postgraduate students. Canadian Center of Science and Education, 10(19), 271-275.
Robillos, R. J., & Bustos, I. G. (2022). Learners’ listening skill and metacognitive awareness through metacognitive strategy instruction with pedagogical cycle. International Journal of Instruction, 15(3), 393-412.
Rosna, A.-H., & Azlina, M. S. (2008). A confirmatory factor analysis of a newly integrated multidimensional school engagement scale. Malaysian Journal of Learning and Instruction, 5, 21-40.
Saleh, M., Charitas Indra Prahmana, R., Isa, M., Charitas, R., Prahmana, I., Isa, M., Charitas Indra Prahmana, R., & Isa, M. (2018). Improving the reasoning ability of elementary school student through the Indonesian realistic mathematics education. Journal on Mathematics Education, 9(1), 41-54.
Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19, 460-475.
Singh, P., Hoon, T. S., Akmal, N., Nasir, M., Hoon, S., Han, T., Rasid, M., Bzh, J., Nasir, N. A. M., Han, C. T., Rasid, N. S. M., & Bzh, J. (2020). An analysis of students’ mathematical reasoning and mental computation proficiencies. Universal Journal of Educational Research, 8(11), 5628-5636.
Syaiful, Huda, N., Mukminin, A., & Kamid. (2022). Using a metacognitive learning approach to enhance students’ critical thinking skills through mathematics education. SN Social Sciences, 2(4), 1-26.
Tabachnick, & Fidell. (2007). Using multivariate statistics.. Pearson.
Tak, C. C., Zulnaidi, H., & Leong, K. E. (2021). Analysis validity and reliability of self-efficacy and metacognitive awareness instrument toward mathematical reasoning. Turkish Journal of Computer and Mathematics Education, 12(9), 3332-3344.
Wafubwa, R. N., & Csíkos, C. (2022). Impact of formative assessment instructional approach on students’ mathematics achievement and their metacognitive awareness. International Journal of Instruction, 15(2), 119-138.
Wafubwa, R. N., Csíkos, C., & Opoku-Sarkodie, R. (2022). In-service mathematics teachers’ conception and perceptions of metacognition in their teaching experience. SN Social Sciences, 2(2), 1-21.
Widya, R. S., Siti, I., & Anis, F. J. (2019). The analysis of students’ mathematical reasoning ability in completing mathematical problems on geometry. Mathematics Education Journal, 3(1), 72.
Zayyadi, M., & Kurniati, D. (2018). Mathematics reasoning and proving of students in generalizing the pattern. International Journal of Engineering and Technology, 7(2), 15-17.
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