Uncategorized References
Abassian, A., Safi, F., Bush, S., & Bostic, J. (2020). Five different perspectives on mathematical modeling in mathematics education.
Investigations in Mathematics Learning,
12(1), 53-65.
https://doi.org/10.1080/19477503.2019.1595360
Anhalt, C. O., & Cortez, R. (2014). Mathematics Education as a Mathematician s Research Area: An Invitation for Collaboration. Notices of the AMS, 65(8).
Bazoobandi, M. H., Danesh, M., & Bakhtiari, A. (2023). Comparison of Teacher Training Internship in Farhangian University (Iran) with Harvard University and Missouri Southeast University (USA). Iranian Journal of Comparative Education, 6(3), 2658-2692.
Berry, J. (1996). Written reports. Mathematics learning and assessment: Sharing innovative practices.
Blum, W., & Leiss, D. (2007). How do students and teachers deal with modelling problems. Mathematical modelling (ICTMA 12): Education, engineering and economics, 222-231.
Boada, Y., Flores, F. J., & Vignoni, A. (2024). Integrating mathematical modeling into synthetic biology education: a comprehensive approach through webinars and syllabus development. Frontiers in Education,
Bodine, E. N., Lenhart, S., & Gross, L. J. (2014). Mathematics for the life sciences. Princeton University Press.
Brown, J. P., Stillman, G. A., Galbraith, P. L., & Ng, K. E. D. (2024). Mathematical Modelling of Real-World Phenomena. In C. Mesiti, W. T. Seah, B. Kaur, C. Pearn, A. Jones, S. Cameron, E. Every, & K. Copping (Eds.),
Research in Mathematics Education in Australasia 2020–2023 (pp. 29-57
). Springer Nature Singapore.
https://doi.org/10.1007/978-981-97-1964-8_3
Chiel, H. J., McManus, J. M., & Shaw, K. M. (2010). From biology to mathematical models and back: Teaching modeling to biology students, and biology to math and engineering students. CBE—Life Sciences Education, 9(3), 248-265.
Cochran-Smith, M., & Lytle, S. L. (2001). Beyond certainty: Taking an inquiry stance on practice. Teachers caught in the action: Professional development that matters, 45-58.
Cozzens, M. (2011). Food webs, competition graphs, and habitat formation. Mathematical Modelling of Natural Phenomena, 6(6), 22-38.
Dawes, A. T., Eisenberg, M., & Seshaiyer, P. (2020). Understanding the Rules of Life Summit (NSF).
Duncan, S. I., Lenhart, S., & Sturner, K. K. (2014). Measuring biodiversity with probability. The Mathematics Teacher, 107(7), 547-552.
Ellerton, N. F. (2013). Engaging pre-service middle-school teacher-education students in mathematical problem posing: Development of an active learning framework. Educational studies in mathematics, 83, 87-101.
Farrior, D., Hamill, W., Keiser, L., Kessler, M., LoPresti, P., McCoy, J., Pomeranz, S., Potter, W., & Tapp, B. (2008). Interdisciplinary lively application projects in calculus courses. Journal of STEM Education, 8(3).
Farrokhi, A., & Akbarpour, M. (2020). Overview of the IBSE Research Teaching Method in Biology Education of Specialized Scientific.
Journal of Research in Biology Education, University of Farhangian,
2(6), 86-77 (Persian).
https://doi.org/dor 20.10
01.1.27172252.1399.2.2.6.5
FREUDENTHAL, H. (1980). Weeding and Sowing: Preface to a Science of Mathematics Education (Dordrecht, The Netherlands/Boston, MA: Reidel).
Goldstein, H. (2007). The Future of Statistics Within the Curriculum. Teaching statistics, 29(1).
Gravemeijer, K., Stephan, M., Julie, C., Lin, F.-L., & Ohtani, M. (2017). What mathematics education may prepare students for the society of the future? International Journal of Science and Mathematics Education, 15, 105-123.
Hartvigsen, G. (2011). Using R to build and assess network models in biology. Mathematical Modelling of Natural Phenomena, 6(6), 61-75.
Hendrick, C. W., & Tilbury, K. B. (2024). A Comprehensive Approach to Modeling Dynamic Biological Systems: Enhancing Critical Thinking and Mathematical Problem-Solving in Biomedical Engineering Education. 2024 ASEE Annual Conference & Exposition,
Kot, M. (2001). Elements of mathematical ecology. Cambridge University Press.
Kovalchuk, V., Chekaniuk, K., Volch, I., & Mykhailyshyn, H. (2024). Models Of Professional Development For Biology Teachers In The Context Of Social Changes. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference,
Liu, M., & Liljedahl, P. (2019). Chapter 12: Flow and Modelling. Affect in mathematical modeling, 273-295.
Mayes, R., Long, T., Huffling, L., Reedy, A., & Williamson, B. (2020). Undergraduate Quantitative Biology Impact on Biology Preservice Teachers.
Bulletin of Mathematical Biology,
82(6), 63.
https://doi.org/10.1007/s11538-020-00740-z
Mehr mohammadi, M., & Lotfali, A. (2001). The nature of teaching and its aesthetic dimensions.
Teacher of Humanities, 42-58 (Persian).
https://sid.ir/paper/357079/fa
Mu, S. (2024). Research on Teaching Methods Based on Mathematical Modeling and Their Applications. Journal of Computer Technology and Electronic Research, 1(2).
NBT. (2024). Professional Development Conference.
Anaheim Marriott Hotel ,Anaheim, CA, November 14-17(1).
https://nabt.org/Events-2024-Conference
Nikolić, N., & Antonijević, R. (2024). Problem-Solving in Biology Teaching: Students’ Activities and Their Achievement.
International Journal of Science and Mathematics Education,
22(4), 765-785.
https://doi.org/10.1007/s10763-023-10407-5
Odenbaugh, J. (2006). The strategy of “The strategy of model building in population biology”. Biology and Philosophy, 21(5), 607-621.
Parhizgar, Z., Alamolhoda, H., & Jabbari Noghani, M. (2017). The potential of teaching modelling problems in the national curriculum for changing students’ attitude towards mathematics.
Two Quarterly Theory and Practice in the Curriculum,
5(0), 162-167(Persian).
http://cstp.khu.ac.ir/article-1-2705-fa.html
Parhizgar, Z., jabbari Noghani, M., & Alamolhoda, H. (2020). The Impact of Mathematical Modeling
Issues on Student Experience Experience.
Quarterly Educational Innovation Journal,
99(73), 127-157(Persian).
https://doi.org/ 10.22034/jei.2020.107718
Parhizgar, Z., & Liljedahl, P. (2019). Chapter 10: Teaching modelling problems and its effects on students’ engagement and attitude toward mathematics. Affect in mathematical modeling, 235-256.
Reed, M. C. (2004). Why is mathematical biology so hard. Notices of the AMS, 51(3), 338-342.
Robeva, R., & Laubenbacher, R. (2009). Mathematical biology education: beyond calculus. Science, 325(5940), 542-543.
Rossi, P. H., Lipsey, M. W., & Henry, G. T. (2018). Evaluation: A systematic approach. Sage publications.
Schukajlow, S., Leiss, D., Pekrun, R., Blum, W., Müller, M., & Messner, R. (2012). Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations. Educational studies in mathematics, 79, 215-237.
Seshaiyer, P., & Kappmeyer, K. (2016). Transforming practices in mathematics teaching and learning through effective partnerships. Mathematics education: A spectrum of work in mathematical sciences departments, 105-120.
Seshaiyer, P., & Lenhart, S. (2020). Connecting with teachers through modeling in mathematical biology. Bulletin of Mathematical Biology, 82(8), 98.
Simpson, E. H. (1949). Measurement of diversity. nature, 163(4148), 688-688.
Šorgo, A. (2010). Connecting biology and mathematics: first prepare the teachers. CBE—Life Sciences Education, 9(3), 196-200.
Stein, M. K., Engle, R. A., Smith, M. S., & Hughes, E. K. (2008). Orchestrating productive mathematical discussions: Five practices for helping teachers move beyond show and tell. Mathematical thinking and learning, 10(4), 313-340.
Suh, J., & Seshaiyer, P. (2015). Examining teachers’ understanding of the mathematical learning progression through vertical articulation during lesson study. Journal of Mathematics Teacher Education, 18, 207-229.
Suh, J. M., & Seshaiyer, P. (2016). Modeling mathematical ideas: Developing strategic competence in elementary and middle school. Rowman & Littlefield.
Svoboda, J., & Passmore, C. (2013). The strategies of modeling in biology education. Science & Education, 22, 119-142.
Weisstein, A. E. (2011). Building mathematical models and biological insight in an introductory biology course. Mathematical Modelling of Natural Phenomena, 6(6), 198-214.
Womersley, J. R. (1955). Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known. The Journal of physiology, 127(3), 553.
