Eurasia Journal of Mathematics, Science and Technology Education

• Aguilar, M. S., Rosas, A., Zavaleta, J. G., & Romo-Vázquez, A. (2016). Exploring high-achieving students’ images of mathematicians. International Journal of Science and Mathematics Education, 14(3), 527-548. https://doi.org/10.1007/s10763-014-9586-1
• Alcock, L., & Weber, K. (2005). Proof validation in real analysis: Inferring and checking warrants. Journal of Mathematical Behavior, 24, 125-134. https://doi.org/10.1016/j.jmathb.2005.03.003
• Bartle, R. G., & Sherbert, D. R. (2011). Introduction to real analysis (4th ed.). John Wiley & Sons.
• Brom, C., Hannemann, T., Stárková, T., Bromová, E., & Děchtěrenko, F. (2017). The role of cultural background in the personalization principle: Five experiments with Czech learners. Computers & Education, 112, 37-68. https://doi.org/10.1016/j.compedu.2017.01.001
• Buchholtz, N. (2019). Planning and conducting mixed methods studies in mathematics educational research. In G. Kaiser, & N. Presmeg (Eds.), Compendium for early career researchers in mathematics education: ICME-13 monographs (pp. 131-152). Springer. https://doi.org/10.1007/978-3-030-15636-7_1
• Callejo, M. L., & Vila, A. (2009). Approach to mathematical problem solving and students’ belief systems: Two case studies. Educational Studies in Mathematics, 72(1), 111-126. ttps://doi.org/10.1007/s10649-009-9195-z
• Correa, J. M., Martínez-Arbelaiz, A., & Aberasturi-Apraiz, E. (2015). Post-modern reality shock: Be-ginning teachers as sojourners in communities of practice. Teaching and Teacher Education, 48, 66-74. https://doi.org/10.1016/j.tate.2015.02.007
• Creswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research (2nd ed.). SAGE.
• Cuturi, L. F., Cappagli, G., Yiannoutsou, N., Price, S., & Gori, M. (2022). Informing the design of a multisensory learning environment for elementary mathematics learning. Journal on Multimodal User Interfaces, 16, 155-171. https://doi.org/10.1007/s12193-021-00382-y
• Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Almogen, A. S., & Vighio, M. S. (2024). Investigating factors affecting teachers’ training through mobile learning: Task technology fit perspective. Education and Information Technologies, 29, 14553-14589. https://doi.org/10.1007/s10639-023-12434-9
• de Villiers, M. D. (1990). The role and function of proof in mathematics. Pythagoras, 24, 17-24.
• Doolittle, P. (2010). The effects of segmentation and personalization on superficial and comprehensive strategy instruction in multimedia learning environments. Journal of Educational Multimedia and Hypermedia, 19(2), 159-175.
• Dunsworth, Q. (2005). Fostering multimedia learning of science: The role of personalization and presentation mode [PhD thesis, Arizona State University].
• Giaquinto, M. (2005). Mathematical activity. In P. Mancosu, K. F. Jorgensen, & S. A. Pedersen (Eds.), Visualization, explanation and reasoning styles in mathematics (pp. 75-87). Springer. https://doi.org/10.1007/1-4020-3335-4_5
• Hanna, G. (2007). The ongoing value of proof. In P. Boero (Ed.), Theorems in school: From history, epistemology and cognition to classroom practice (pp. 3-18). Sense. ttps://doi.org/10.1163/9789087901691_002
• Harel, G. (2013). Intellectual need. In K. R. Leatham (Ed.), Vital directions for mathematics education research (pp. 119-151). Springer. https://doi.org/10.1007/978-1-4614-6977-3_6
• Harel, G., & Sowder, L. (1998). Students’ proof schemes: Results from exploratory studies. Issues in Mathematics Education, 7, 234-283. https://doi.org/10.1090/cbmath/007/07
• Hersh, R. (1979). Some proposals for reviving the philosophy of mathematics. Advances in Mathematics, 31, 31-50. https://doi.org/10.1016/0001-8708(79)90018-5
• Hersh, R. (1997). What is mathematics, really? Oxford University Press. https://doi.org/10.1515/dmvm-1998-0205
• Holm, J., & Kajander, A. (2012). Interconnections of knowledge and beliefs in teaching mathematics. Canadian Journal of Science, Mathematics and Technology Education, 12(1), 7-21. https://doi.org/10.1080/14926156.2012.649055
• Knuth, E. J. (2002). Teachers’ conceptions of proof in the context of secondary school mathematics. Journal of Mathematics Teacher Education, 5, 61-88. https://doi.org/10.1023/A:1013838713648
• Koo, T. K., & Li, M. Y. (2016). Intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15, 155-163.
• Lannin, J. K., Ellis, A. B., Elliott, R., & Zbiek, R. M. (2011). Developing essential understanding of mathematical reasoning for teaching mathematics in prekindergarten-grade 8. National Council of Teachers of Mathematics.
• Latterell, C. M., & Wilson, J. L. (2012). Students’ perceptions of what mathematicians do. The Mathematics Educator, 13(2), 73-84.Livingston, E. (1999). Cultures of proving. Social Studies of Science, 29(6), 867-888.
• Livingston, E. (1999). Cultures of proving. Social Studies of Science, 29(6), 867-888.
• Maxwell, J. A. (2013). Qualitative research design: An interactive approach (3rd ed.). SAGE.
• Mayer, R. E. (2005). Principles of multimedia learning based on social cues: Personalization, voice, and image principles. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 201-212). Cambridge University Press. https://doi.org/10.1017/CBO9780511816819.014
• Mayer, R. E., Fennell, S., Farmer, L., & Campbell, J. (2004). A personalization effect in multimedia learning: Students learn better when words are in conversational style rather than formal style. Journal of Educational Psychology, 96(2), 389-395. https://doi.org/10.1037/0022-0663.96.2.389
• Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43-52.
• McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30-46. https://doi.org/10.1037/1082-989X.1.1.30
• Moreno, R., & Mayer, R. E. (2004). Personalized messages that promote science learning in virtual environments. Journal of Educational Psychology, 96(1). https://doi.org/10.1037/0022-0663.96.1.165
• Paoletti, T., Krupnik, V., Papadopoulos, D., Olsen, J., Fukawa-Connelly, T., & Weber, K. (2018). Teacher questioning and invitations to participate in advanced mathematics lectures. Educational Studies in Mathematics, 98, 1-17. https://doi.org/10.1007/s10649-018-9807-6
• Picker, S. H., & Berry, J. S. (2000). Investigating pupils’ images of mathematicians. Educational Studies in Mathematics, 43(1), 65-94. https://doi.org/10.1023/A:1017523230758
• Reinschlüssel, A., Alexandrovsky, D., Döring, T., Kraft, A., Braukmüller, M., Janßen, T., Reid, D., Vallejo, E., Bikner-Ahsbahs, A., & Malaka, R. (2018). Multimodal algebra learning: From math manipulatives to tangible user interfaces. i-com, 17(3), 201-209. https://doi.org/10.1515/icom-2018-0027
• Rock, D., & Shaw, J. M. (2000). Exploring children's thinking about mathematicians and their work. Teaching Children Mathematics, 6(9), 550-555. https://doi.org/10.5951/TCM.6.9.0550
• Salkind, N. J. (Ed.). (2010). The encyclopedia of research design. SAGE. https://doi.org/10.4135/9781412961288
• Schoenfeld, A. H. (1994). What do we know about mathematics curricula? Journal of Mathematical Behavior, 13(1), 55-80. https://doi.org/10.1016/0732-3123(94)90035-3
• Schrader, C., Reichelt, M., & Zander, S. (2018). The effect of the personalization principle on multi-media learning: The role of student individual interests as a predictor. Educational Technology Research and Development, 66(6), 1387-1397. https://doi.org/10.1007/s11423-018-9588-8
• Selden, A., & Selden, J. (2003). Validations of proofs written as texts: Can undergraduates tell whether an argument proves a theorem? Journal for Research in Mathematics Education, 34(1), 4-36. https://doi.org/10.2307/30034698
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
• Son, J. Y., & Goldstone, R. L. (2009). Contextualization in perspective. Cognition and Instruction, 1, 51-89. https://doi.org/10.1080/07370000802584539
• Steinbring, H. (2005). The construction of new mathematical knowledge in classroom interaction: An epistemological perspective. Springer. https://doi.org/10.1007/b104944
• US Department of Education. (2017). Reimagining the role of technology in education: 2017 national education technology plan update. US Department of Education. https://tech.ed.gov/files/2017/01/NETP17.pdf
• Watson, A. (2008). School mathematics as a special kind of mathematics. For the Learning of Mathematics, 28(3), 3-7.
• Weber, K. (2008). How mathematicians determine if an argument is a valid proof. Journal for Re-search in Mathematics Education, 39(4), 431-459. https://doi.org/10.5951/jresematheduc.39.4.0431
• Wirth, J., Stebner, F., Trypke, M., Schuster, C., & Leutner, D. (2020). An interactive layers model of self-regulated learning and cognitive load. Educational Psychology Review, 32, 1127-1149. https://doi.org/10.1007/s10648-020-09568-4
• Wouters, P., Paas, F., & van Merriënboer, J. G. (2008). How to optimize learning from animated models: A review of guidelines based on cognitive load. Review of Educational Research, 78(3), 645-675. https://doi.org/10.3102/0034654308320320
• Yeung, A., Schmid, S., George, A. V., & King, M. M. (2009). Using the personalization hypothesis to design e-learning environments. In M. Gupta-Bhowon, S. Jhaumeer-Laulloo, H. Li Kam Wah, & P. Ramasami (Eds.), Chemistry education in the ICT age (pp. 287-300). Springer. https://doi.org/10.1007/978-1-4020-9732-4_25
• Zaslavsky, O. (2005). Seizing the opportunity to create uncertainty in learning mathematics. Educational Studies in Mathematics, 60(3), 297-321. https://doi.org/10.1007/s10649-005-0606-5

APA

Shongwe, B. (2025). Pre-service teachers’ views of mathematicians within mobile devices: A personalization principle study. Eurasia Journal of Mathematics, Science and Technology Education, 21(11), em2730. https://doi.org/10.29333/ejmste/17343

Vancouver

Shongwe B. Pre-service teachers’ views of mathematicians within mobile devices: A personalization principle study. EURASIA J Math Sci Tech Ed. 2025;21(11):em2730. https://doi.org/10.29333/ejmste/17343

AMA

Shongwe B. Pre-service teachers’ views of mathematicians within mobile devices: A personalization principle study. EURASIA J Math Sci Tech Ed. 2025;21(11), em2730. https://doi.org/10.29333/ejmste/17343

Chicago

Shongwe, Benjamin. "Pre-service teachers’ views of mathematicians within mobile devices: A personalization principle study". Eurasia Journal of Mathematics, Science and Technology Education 2025 21 no. 11 (2025): em2730. https://doi.org/10.29333/ejmste/17343

Harvard

Shongwe, B. (2025). Pre-service teachers’ views of mathematicians within mobile devices: A personalization principle study. Eurasia Journal of Mathematics, Science and Technology Education, 21(11), em2730. https://doi.org/10.29333/ejmste/17343

MLA

Shongwe, Benjamin "Pre-service teachers’ views of mathematicians within mobile devices: A personalization principle study". Eurasia Journal of Mathematics, Science and Technology Education, vol. 21, no. 11, 2025, em2730. https://doi.org/10.29333/ejmste/17343