Eurasia Journal of Mathematics, Science and Technology Education

• Ab Hamid, M. R., Sami, W., & Sidek, M. M. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890, Article 012163. https://doi.org/10.1088/1742-6596/890/1/012163
• Abhishek, K., & Bhoodev, S.(2016). Some environmental and attitudinal characteristics as predictors of mathematical creativity. International Journal of Mathematical Education in Science and Technology, 48(3), 327-337. https://doi.org/10.1080/0020739X.2016.1241435
• Akin, A., & Kurbanoglu, I. N. (2011). The relationships between math anxiety, math attitudes, and self-efficacy: A structural equation model. Studia Psychologica, 53, 263-273.
• Anderman, E. M., & Anderman, L. H. (1999). Social predictors of changes in students’ achievement goal orientations. Contemporary Educational Psychology, 24(1), 21-37. https://doi.org/10.1006/ceps.1998.0978
• Ardura, D., & Galán, A. (2019). The interplay of learning approaches and self efficacy in secondary school students’ academic achievement in science. International Journal of Science Education, 41, 1723-1743. https://doi.org/10.1080/09500693.2019.1638981
• Aremu, A., & Tella, A. (2009). The relationship between mathematics self-efficacy and achievement in mathematics. Procedia Social and Behavioral Sciences, 1(2009), 953-957. https://doi.org/10.1016/j.sbspro.2009.01.169
• Artino, A. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. https://doi.org/10.1111/j.1365-2729.2007.00258.x
• Bandura, A. (1997). Self-efficacy in changing societies: Exercise of personal and collective efficacy in changing societies. Cambridge University Press.
• Bandura, A. (2012). Social cognitive theory. In P. M. Van Lange, A. W. Kruglanski, & E. Higgins (Eds.), Handbook of theories of social psychology (pp. 349-373). SAGE. https://doi.org/10.4135/9781446249215.n18
• Bhowmik, M., & Roy, B. B. (2016). A study on the relationship between achievement in mathematics and attitude towards mathematics of secondary school students. Scholar, 1(2), 49-55. https://doi.org/10.21013/jems.v4.n3.p7
• Boaler, J. (2016). Mathematical mindsets: Unleashing student’s potential through creative math, inspiring messages, and innovative teaching. JB Jossey-Bass.
• Bokhove, C., & Jones, K. (2018). Stimulating mathematical creativity through constraints in problem-solving. In N. Amado, S. Carreira, & K. Jones (Eds.), Broadening the scope of research on mathematical problem solving (pp. 301-319). Springer. https://doi.org/10.1007/978-3-319-99861-9_13
• Chen, L., Bae, S. R., Battista, C., Qin, S., Chen, T., Evans, T. M., & Menon, V. (2018). Positive attitude toward math supports early academic success: Behavioral evidence and neurocognitive mechanisms. Psychological Science, 29(3), 390-402. https://doi.org/10.1177/0956797617735528
• Chouinard, R., Karsenti, T., & Roy, N. (2007). Relations among competence beliefs, utility value, achievement goals, and effort in mathematics. British Journal of Educational Psychology, 77(3), 501-517. https://doi.org/10.1348/000709906x133589
• Clore, G. L., & Schnall, S. (2005). The influence of affect on attitudes. In D. Albarracin, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 437-489). Erlbaum.
• Crocker, L., & Algina, J. (2006). Introduction to classical and modern test theory. Wadsworth Publishing.
• Cropley, A. J. (2006). In praise of convergent thinking. Creativity Research Journal, 18(3), 391-404. https://doi.org/10.1207/s15326934crj1803_13
• Dada, O., Bassey, B., & Ofem, U. J. (2016). Institutional predictors of academic creativity of undergraduates in universities in Cross River State, Nigeria. Global Journal of Education and Research, 15(2), 145-150.
• Diseth, Å. (2011). Self-efficacy, goal orientations and learning strategies as mediators between preceding and subsequent academic achievement. Learning and Individual Differences, 21, 191-195. https://doi.org/10.1016/j.lindif.2011.01.003
• Dowker, A., Cheriton, O., Horton, R., & Mark, W. (2019). Relationships between attitudes and performance in young children’s mathematics. Educational Studies in Mathematics, 100(3), 211-230. https://doi.org/10.1007/s10649-019-9880-5
• Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
• Eom, H., Wen, J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation. Journal of Innovation Education, 4(2), 215-235. https://doi.org/10.1111/j.1540-4609.2006.00114.x
• Ferreira, M., Cardosob, A., & Abrantesc, J. (2011). Motivation and relationship of the student with the school as factors involved in the perceived learning. Procedia-Social and Behavioral Sciences, 29, 1707-1714. https://doi.org/10.1016/j.sbspro.2011.11.416
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
• Gallagher, R. (2006). Causes of students’ lack of interest in mathematics: A review of the literature. Australian Mathematics Teacher, 62(4), 11-18. https://doi.org/10.1090/noti902
• Ginsburg, H. P. (2009). The challenge of mathematics instruction: Supporting the construction of meanings. ZDM Mathematics Education, 41(5), 549-565.
• Goldin, G. A., Hannula, M. S., Heyd-Metzuyanim, E., Jansen, A., Kaasila, R., Lutovac, S., & Zhang, Q. (2016). Attitudes, beliefs, motivation and identity in mathematics education: An overview of the field and future directions. Springer. https://doi.org/10.1007/978-3-319-32811-9
• Grégoire, J. (2016). Understanding creativity in mathematics for improving mathematical education. Journal of Cognitive Education and Psychology, 15(1), 24-36. https://doi.org/10.1891/1945-8959.15.1.24
• Grootenboer, P., & Hemmings, B. (2008). Mathematics lessons and teacher beliefs: Constructing identities in the mathematics classroom. Mathematics Education Research Journal, 20(2), 38-55.
• Guo, J., Marsh, H. W., Parker, P. D., Morin, A. J., & Yeung, A. S. (2015). Expectancy-value in mathematics, gender and socioeconomic background as predictors of achievement and aspirations: A multi-cohort study. Learning and Individual Differences, 37, 161-168. https://doi.org/10.1016/j.lindif.2015.01.008
• Haavold, P. O. (2016). An empirical investigation of a theoretical model for mathematical creativity. Journal of Creative Behavior, 52(3), 226-239. https://doi.org/10.1002/jocb.145
• Hacket, G., & Betz, N. (1989). An exploration of the mathematics efficacy/mathematics performance correspondence. Journal of Research in Mathematics, 20(3), 261-273. https://doi.org/10.2307/749515
• Hadar, L. L., & Tirosh, M. (2019). Creative thinking in mathematics curriculum: An analytic framework. Thinking Skills and Creativity, 33, Article 100585. https://doi.org/10.1016/j.tsc.2019.100585
• Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33-46. https://doi.org/10.2307/749455
• Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111-127. https://doi.org/10.1207/s15326985ep4102_4
• Hiebert, J., & Grouws, D. A. (2007). The effects of classroom mathematics teaching on students’ learning. Second Handbook of Research on Mathematics Teaching and Learning, 2, 371-404.
• Hilkenmeier, F., Bohndick, C., Bohndick, T., & Hilkenmeier, J. (2020). Assessing distinctiveness in multidimensional instruments without access to raw data–A manifest Fornell-Larcker criterion. Frontiers in Psychology, 11, Article 223. https://doi.org/10.3389/fpsyg.2020.00223
• Hocevar, D. (1979). The development of the creativity domain: The ball-stick-bird test. Journal of Creative Behavior, 13(4), 255-259.
• Joseph, K., Scott, A., & Eric, M. (2019). Factors that influence mathematical creativity. The Mathematics Enthusiast, 16(1). https://doi.org/10.54870/1551-3440.1471
• Kattou, M., Kontoyianni, K., Pitta-Pantazi, D., & Christou, C. (2013). Connecting mathematical creativity to mathematical ability. ZDM Mathematics Education, 45, 167-181. https://doi.org/10. 1007/s11858- 012- 0467-1
• Keller, K. (2008). Strategic brand management: Building, measuring and managing brand equity. Pearson Prentice Hall.
• Ketelhut, D. J., Mills, K., Hestness, E., Cabrera, L., Plane, J., & McGinnis, J. R. (2020). Teacher change following a professional development experience in integrating computational thinking into elementary science. Journal of Science Education and Technology, 29(1), 174-188. https://doi.org/10.1007/s10956-019-09798-4
• Kiwanuka, H. N., Van Damme, J., Van den Noortgate, W., & Reynolds, C. (2020). Temporal relationship between attitude toward mathematics and mathematics achievement. International Journal of Mathematical Education in Science and Technology, 51, 1546-1570. https://doi.org/10.1080/0020739x.2020.1832268
• Köller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32(5), 448-470. https://doi.org/10.2307/749801
• Kozlowski, J., & Shouquing, S. (2019). Mathematical creativity: A vehicle to foster equity. Thinking Skills and Creativity, 33. https://doi.org/10.1016/j.tsc.2019.100579
• Kwon, O. N., Park, J. H. J. S., & Park, J. H. J. S. (2006). Cultivating divergent thinking in mathematics through an open-ended approach. Asia Pacific Education Review, 7, 51-61. https://doi.org/10.1007/BF030 36784
• Lau, C., Kitsantas, A., Miller, A. D., & Drogin,B. (2018). Perceived responsibility for learning, self-efficacy, and sources of self-efficacy in mathematics: A study of international baccalaureate primary years programme students. Social Psychology of Education, 21, 603-620. https://doi.org/10.1007/s11218-018-9431-4
• Lee, H., Pallant, A., Pryputniewicz, S., Lord, T., Mulholland, M., & Liu, O. L. (2019). Automated text scoring and real-time adjustable feedback: Supporting revision of scientific arguments involving uncertainty. Science Education, 103, 590-622. https://doi.org/10.1002/sce.21504
• Leikin, R. (2009). Exploring mathematical creativity using multiple solution tasks. In R. Leikin, A. Berman, & B. Koichu (Eds.), Creativity in mathematics and the education of gifted students (pp. 129-145). Sense Publishers. https://doi.org/10.1163/9789087909352_010
• Leikin, R., Berman, A., & Koichu, B. (2009). Creativity in mathematics and the education of gifted students. Sense Publishers. https://doi.org/10.1163/9789087909352
• Leikin, R., & Lev, M. (2007). Multiple solution tasks as a magnifying glass for observation of mathematical creativity. In J.-H. Woo, H.-C. Lew, K.-S. Park, & D.-Y. Seo (Eds.), Proceedings of the 31^st International Conference for the Psychology of Mathematics Education (pp. 161-168). The Korea Society of Educational Studies in Mathematics.
• Leikin, R., & Levav-Waynberg, A. (2007). Exploring mathematical creativity using multiple solution tasks. In S. P. Lajoie, & L. Verschaffel (Eds.), Applications and modeling in learning and teaching mathematics (pp. 129-145). Springer.
• Lev, M., & Leikin, R. (2017). The interplay between excellence in school mathematics and general giftedness: Focusing on mathematical creativity. In R. Leikin, & B. Sriraman (Eds.), Introduction to interdisciplinary perspectives to creativity and giftedness (pp. 225-238). Springer. https://doi.org/10.1007/978-3-319-38840-3_14
• Ma, X. (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for Research in Mathematics Education, 30(5), 520-540. https://doi.org/10.2307/749772
• Mailizar, M., Almanthari, A., Maulina, S., & Bruce, S. (2020). Secondary school mathematics teachers’ views on e-learning implementation barriers during the COVID-19 pandemic: The case of Indonesia. EURASIA Journal of Mathematics, Science and Technology Education, 16, Article em1860. https://doi.org/10.29333/ejmste/8240
• Mann, E. (2005). Mathematical creativity and school mathematics: Indicators of mathematical creativity in middle school students [Doctoral dissertation, University of Connecticut].
• Michael, J. & Michael, K. (2005). Mathematics self-efficacy of college freshman. Journal of Developmental Education, 28, 3.
• Mubeen, S., Saeed, S., & Arif, M. H. (2013). Attitude towards mathematics and academic achievement in mathematics among secondary level boys and girls. Journal of Humanities and Social Science, 6(4), 38-41. https://doi.org/10.9790/0837-0643841
• Negara, H. R. P., Nuriaeiah, E., Wahyudin, Herman, T., & Tamur, M. (2021). Mathematics self efficacy and mathematics performance in online learning. Journal of Physics: Conference Series, 1882, Article 012050. https://doi.org/10.1088/1742-6596/1882/1/012050
• Nufus, H., Duskri, M., & Kuala, U. S. (2018). Mathematical creative thinking and student self-confidence in the challenge-based learning approach. Journal of Research and Advances in Mathematics Education, 3(2), 57-68. https://doi.org/10.23917/jramathedu.v3i2.6367
• Ofem, U. J., Iyam, M. A., Ovat, S. V., Nworgwugwu, E. C., Anake, P. M., Udeh, M. R., & Otu, B. D. (2024a). Artificial intelligence (AI) in academic research. A multi-group analysis of students’ awareness and perceptions using gender and programme type. Journal of Applied Learning & Teaching, 7(1). https://doi.org/10.37074/jalt.2024.7.1.9
• Ofem, U. J., Nworgwugwu, E. C., Ovat, S. V., Anake, P. M., Anyin, N. N., Udeh, M. I., & Undie, R. A. (2024b). Predicting affective and cognitive learning outcomes: A quantitative analysis using climate change vectors. Eurasian Journal of Science and Environmental Education, 4(1), 1-12. https://doi.org/10.30935/ejsee/14405
• Pajares, F., & Miller, M. D. (1994). Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis. Journal of Educational Psychology, 86(2), 193-203. https://doi.org/10.1037/0022-0663.86.2.193
• Papanastasiou, C. (2000). Effects of attitudes and beliefs on mathematics achievement. Studies in Educational Evaluation, 26(1), 27-42. https://doi.org/10.1016/s0191-491x(00)00004-3
• Phonguttha, R., Tayraukham, S., & Nuangchalerm, P. (2009). Comparisons of mathematics achievement, attitude towards mathematics and analytical thinking between using the geometer’s sketchpad program as media and conventional learning activities. Australian Journal of Basic and Applied Sciences, 3(3), 3036-3039. https://doi.org/10.2139/ssrn.1285446
• Plucker, J. A., & Makel, M. C. (2004). Assessment of creativity. In J. C. Kaufman, & J. Baer (Eds.), Creativity across domains: Faces of the muse (pp. 307-326). Lawrence Erlbaum Associates Publishers.
• Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30, 459-467. https://doi.org/10.1002/nur.20199
• Roick, J., & Ringeisen, T. (2018). Students’ math performance in higher education: Examining the role of self-regulated learning and self-efficacy. Learning and Individual Differences, 65, 148-158. https://doi.org/10.1016/j.lindif.2018.05.018
• Rozgonjuk, D., Kraav, T., Mikkor, K., Orav-Puurand, K., & Täht, K. (2020). Mathematics anxiety among STEM and social sciences students: The roles of mathematics self-efficacy, and deep and surface approach to learning. International Journal of STEM Education, 7, Article 46. https://doi.org/10.1186/s40594-020-00246-z
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78. https://doi.org/10.1037/0003-066X.55.1.68
• Saeed, S., & Zyngier, D. (2012). How motivation influences student engagement: A qualitative case study. Journal of Education and Learning, 1, 252-267. https://doi.org/10.5539/jel.v1n2p252
• Sahliawati, M., & Nurlaelah, E. (2020). Mathematical creative thinking ability in middle school students. Journal of Physics: Conference Series, 1469, 012145. https://doi.org/10.1088/1742-6596/1469/1/012145
• Schoevers, E., Kroesbergen, E., Moerbeek, M., & Leseman, P. (2022). The relation between creativity and students’ performance on different types of geometrical problems in elementary education. ZDM Mathematics Education,54, 133-147. https://doi.org/10.1007/s11858-021-01315-5
• Schunk, D. H. (2014). Learning theories: An educational perspective. Pearson Prentice Hall.
• Schunk, D. H., Meece, J. L., & Pintrich, P. R. (2014). Motivation in education: Theory, research, and applications. Pearson.
• Shaw, S. T., Luna, M. L., Rodriguez, B., Yeh, J., Villalta, N., & Ramirez, G. (2022). Mathematical creativity in elementary school children: General patterns and effects of an incubation break. Frontiers in Education, 7, Article 835911. https://doi.org/10.3389/feduc.2022.83591
• Silver, E. A. (1997). Fostering creativity through construction rich in mathematical problem solving and problem posing. ZDM-International Reviews on Mathematical Education, 29, 75-80. https://doi.org/10.1007/s11858-997-0003-x
• Silver, E. A. (1997). Fostering creativity through instruction rich in mathematical problem solving and problem posing. ZDM Mathematics Education, 29(3), 75-80. https://doi.org/10.1007/s11858-997-0003-x
• Siswono, T. Y. E. (2011). Level of student’s creative thinking in classroom mathematics. Educational Research and Reviews, 6, 548-553.
• Smith, A., Stirling, A., & Berkhout, F. (2005)The governance of sustainable socio-technical transitions. Research Policy, 34(10), 1491-1510. https://doi.org/10.1016/j.respol.2005.07.005
• Sriraman, B. (2004). The characteristics of mathematical creativity. The Mathematics Educator, 14(1), 19-34.
• Sriraman, B., & Haavold, P. (2017). Creativity and giftedness in mathematics education: A pragmatic view. National Council of Teachers of Mathematics. https://doi.org/10.1007/978-3-319-77487-9_33-7
• Sun, C. (2004). Severe critique from mathematician Shing-Tung Yau: Mathematics Olympiad in China kills children’s curiosity. http://news.xinhuanet.com/edu/2004-12/25/content_2379632
• Tabach, M., & Friedlander, A., (2013). School mathematics and creativity at the elementary and middle-grade levels: How are they related? ZDM, 45, 227-238. https://doi.org/10.1007/s11858-012-0471-5
• Tarun, K. (2017). Mathematical intelligence and mathematical creativity: A causal relationship. Creativity Research Journal, 29(2), 212-217. https://doi.org/10.1080/10400419.2017.1303317
• Torrance, E. P. (1966). Torrance tests of creative thinking: Norms-technical manual. https://www.ststesting.com/gift/TTCT_InterpMOD.2018.pdf
• Tularam, G. A., & Hulsman, K. (2015). A study of students’ conceptual, procedural knowledge, logical thinking and creativity during the first year of tertiary mathematics. International Journal for Mathematics Teaching & Learning, 19(1), 1-41.
• Usher, E., & Pajares, F. (2009). Sources of self-efficacy in mathematics: A validation study. Contemporary Educational Psychology, 34, 89-101. https://doi.org/10.1016/j.cedpsych.2008.09.002
• Visser, L., Schoonenboom, J., & Korthagen, F. (2017). A field experimental design of a strengths-based training to overcome academic procrastination: short-and long-term effect. Frontiers in Psychology, 8, 1949. https://doi.org/10.3389/fpsyg.2017.01949
• Walia, P. (2012). Achievement in relation to mathematical creativity of eighth grade students. Indian Streams Research Journal, 2(2), 1-4.
• Widjaja, A., & Chen, J. (2007). Online learners’ motivation in online learning: The effect of online-participation, social presence, and collaboration. In C. Muniarti, & R. Sanjaya (Eds.), Learning technologies in education: Issues and trends (pp. 72-93). Soegijapranata Catholic University.
• Wigfield, A., Tonks, S. M., & Klauda, S. L. (2016). Expectancy-value theory. In K. R. Wentzel, & D. B. Miele (Eds.), Handbook of motivation at school (pp. 55-74). Routledge.
• Yurt, E. (2014). The predictive power of self-efficacy sources for mathematics achievement. Education Sciences, 39, 159-169. https://doi.org/10.15390/EB.2014.3443
• Yusoff, M. S (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal, 11, 49-54. https://doi.org/10.21315/eimj2019.11.2.6
• Yusuf, Z. (2022) Improving students’ mathematics self-efficacy: A systematic review of intervention studies. Frontiers in Psychology, 13, Article 986622. https://doi.org/10.3389/fpsyg.2022.986622
• Zakariya, Y. (2021). Self-efficacy between previous and current mathematics performance of undergraduate students: An instrumental variable approach to exposing a causal relationship. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.556607
• Zakariya, Y. F., Nilsen, H. K., Goodchild, S., & Bjørkestøl, K. (2020). Selfefficacy and approaches to learning mathematics among engineering students: Empirical evidence for potential causal relations. International Journal of Mathematical Education in Science and Technology, 53, 827-841. https://doi.org/10.1080/0020739X.2020.1783006
• Zakariya, Y., Goodchild, S., Bjørkestøl, K., & Nilsen, H. K. (2019). Calculus self-efficacy inventory: Its development and relationship with approaches to learning. Education Sciences, 9, Article 170. https://doi.org/10.3390/educsci9030170
• Zientek, L. R., Fong, C. J., & Phelps, J. M. (2019). Sources of self-efficacy of community college students enrolled in developmental mathematics. Journal of Further and Higher Education, 43, 183-200. https://doi.org/10.1080/0309877X.2017.1357071

APA

Ovat, S. V., Ofem, U. J., Ajuluchukwu, E. N., Asuquo, E. N., Undie, S. B., Amanso, E. O. I., Ene, E. I., Idung, J. U., Obi, J. J., Elogbo, E. E., Iserom, C. I., Nnaji, E. S., Orji, E. I., & Arikpo, O. J. (2024). Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?. Eurasia Journal of Mathematics, Science and Technology Education, 20(8), em2489. https://doi.org/10.29333/ejmste/14915

Vancouver

Ovat SV, Ofem UJ, Ajuluchukwu EN, Asuquo EN, Undie SB, Amanso EOI, et al. Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?. EURASIA J Math Sci Tech Ed. 2024;20(8):em2489. https://doi.org/10.29333/ejmste/14915

AMA

Ovat SV, Ofem UJ, Ajuluchukwu EN, et al. Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?. EURASIA J Math Sci Tech Ed. 2024;20(8), em2489. https://doi.org/10.29333/ejmste/14915

Chicago

Ovat, Sylvia Victor, Usani Joseph Ofem, Eunice Ngozi Ajuluchukwu, Eno Ndarake Asuquo, Stephen Bepeh Undie, Eme Orok Iban Amanso, Ene I. Ene, Joseph Udo Idung, Joy Joseph Obi, Eno E. Elogbo, Caroline Ita Iserom, Emeka Samuel Nnaji, Evelyn Ijeoma Orji, and Okri John Arikpo. "Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?". Eurasia Journal of Mathematics, Science and Technology Education 2024 20 no. 8 (2024): em2489. https://doi.org/10.29333/ejmste/14915

Harvard

Ovat, S. V., Ofem, U. J., Ajuluchukwu, E. N., Asuquo, E. N., Undie, S. B., Amanso, E. O. I., . . . Arikpo, O. J. (2024). Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?. Eurasia Journal of Mathematics, Science and Technology Education, 20(8), em2489. https://doi.org/10.29333/ejmste/14915

MLA

Ovat, Sylvia Victor et al. "Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?". Eurasia Journal of Mathematics, Science and Technology Education, vol. 20, no. 8, 2024, em2489. https://doi.org/10.29333/ejmste/14915