Effective Teacher Professional Development Programs. A Case Study Focusing on the Development of Mathematical Modeling Skills
Abstract
:1. Introduction
2. Perspectives of Mathematical Modeling
- “applied”: understanding and mastery of real-world situations;
- “educational”: the realization of the growth of one’s own competence;
- “socio-critical”: understanding the role of mathematics in society;
- “epistemological”: understanding of mathematics as a science;
- “pedagogical”: the enjoyment of doing mathematics;
- “conceptual”: the understanding of mathematical concepts.
3. Materials and Methods
3.1. Context and Teacher Training Program
3.2. Study Subjects
3.3. Data Collection
- In mathematics education, what do you understand by the ability of modeling?
- Give an example of an activity or task you would do for your students to develop this skill.
- 3.
- Provide a brief reflection on the main learning you have achieved in the program. Also comment on the positive and negative aspects of the program, the methodology used, the focus (skills), among others.
3.4. Data Analysis
4. Results
4.1. Before the Program
4.1.1. Results of the Application of the Pre-Test
- In mathematics education, what do you understand by the ability of modeling?That the student can use mathematical tools to codify or symbolize an everyday situation and, if possible, give a solution to it thanks to these utilities of mathematics.
- 2.
- Give an example of an activity or task you would do for your students to develop this skill.They are presented with an everyday problem situation involving money, and they must use algebraic language as a means to translate and model this situation and provide a solution.
Modeling consists of expressing a situation or problem using algebraic language in such a way that the generalization of the problem can be sought. Example: Add the first “n” consecutive natural numbers.
1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 + 10 +…+ n = [n (n + 1)]/2
To achieve the skill, you must first study the behavior, this could be made at first by adding the first 10 numbers.
4.1.2. Initial Lesson Plan Results
4.2. During the Program
4.2.1. Examining and Design Stage
- The beginning of the lesson focused on a video (https://www.youtube.com/watch?v=szmxbpJM24M, accessed date: 15 December 2021) that was intended to bring the students into a specific context (contagion by a disease such as COVID-19);
- Development aimed to solve a problem related to the contagion of a disease, where, under certain conditions, they must find the number of infected for a certain time;
- The closing (Figure 3) dealt with the definition of MM from an educational perspective, by trying to emphasize its phases, and from a pragmatic perspective, by highlighting the relevance of solving a problem of everyday life.
4.2.2. Lesson Study Stage
4.3. After the Program
4.3.1. Final Report
At the beginning we were all very focused on the students getting to the solution of the problem, rather than on the process of developing the skill. This was changing in the course of the application of the lesson study system that involves the three stages of preparation, realization and evaluation. By receiving the comments and reviews of the experts and making the necessary adjustments, we managed to focus on the students working on the skill rather than on obtaining a correct result of the problem.
As for the ability of mathematical modeling, as a tool to solve real-life problem situations, it was possible to work during the development of the classes, specifically the second class of 90 min, by virtual platform, emphasizing the understanding of the problem, promoting the stages of mathematical modeling together with the students, allowing them to be the main actors of their own learning.
4.3.2. Final Exhibition
4.3.3. Post Test Results
The ability of modeling corresponds to being able to go through a circuit that involves a problematic situation in real life, going through the understanding and analysis of the situation, creating a model that allows to give a solution to this situation, such as pictorial representations, numerical or algebraic expressions, solving this model to be able to later re-analyze the situation and see if this model responds or gives a solution to the problem posed.
Having been able to participate in the two class implementations has allowed me to experience firsthand how students work, in this case, the skill of modeling, where we, as teachers, are often concerned that they reach a solution and not that they work on the skill.
5. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Avalos, B. Teacher professional development in Teaching and Teacher Education over ten years. Teach. Teach. Educ. 2011, 27, 10–20. [Google Scholar] [CrossRef]
- Bautista, A.; Oretga-Ruiz, R. Teacher professional development: International perspectives and approaches. Psychol. Soc. Educ. 2017, 7, 240–251. [Google Scholar] [CrossRef] [Green Version]
- Mizell, H. Why Professional Development Matters; Learning Forward: Oxford, OH, USA, 2010; ISBN 978-0-9800393-9-9. [Google Scholar]
- Ramos-Rodríguez, E. Reflexión Docente Sobre la Enseñanza del Álgebra en un Curso de Formación Continua; Universidad de Granada: Granada, Spain, 2014. [Google Scholar]
- Montecinos, C. Desarrollo profesional docente y aprendizaje colectivo. Psicoperspectivas. Individuo Soc. 2003, 2, 105–128. [Google Scholar]
- Vaillant, D. El desarrollo profesional y su incidencia en la tarea del maestro. Rev. Int. Magisterio. Educ. Pedagog. 2016, 1–7. [Google Scholar]
- Darling-hammond, L.; Hyler, M.E.; Gardner, M. Effective Teacher Professional Development; Learning Policy Institute: Palo Alto, CA, USA, 2017. [Google Scholar]
- Desimone, L.M.; Pak, K. Instructional Coaching as High-Quality Professional Development. Theory Pract. 2017, 56, 3–12. [Google Scholar] [CrossRef]
- Loucks-Horsley, S.; Stiles, K.; Hewson, P. Principles of effective professional development for mathematics and science education: A synthesis of standards. NISE Br. 1996, 1, 3–8. [Google Scholar]
- Reitzug, U.C. Professional development. In School reform proposals: The research evidence; Molnar, A., Ed.; EPSL. Education Policy Research Unit: Gainesville, FL, USA, 2002; pp. 289–316. [Google Scholar]
- Korthagen, F.; Loughran, J.; Russell, T. Developing fundamental principles for teacher education programs and practices. Teach. Teach. Educ. 2006, 22, 1020–1041. [Google Scholar] [CrossRef]
- Ramos Rodriguez, E.; Bustos, B.; Morales, A. Identification of the Principles of Effective Professional Development Programs and Their Impact: An Investigation of the Guidelines of a Mathematics Didactic Graduate Program and a Case Study Focused on Teacher Training. Int. J. Sci. Math. Technol. Learn. 2021, 29, 1–16. [Google Scholar] [CrossRef]
- Bases Curriculares Primero a Sexto Básico; Ministerio de Educación: Santiago, Chile, 2018.
- Chan, C.M.E. Initial perspectives of teacher professional development on mathematical modelling in Singapore: Conceptions of mathematical modelling. In Teaching Mathematical Modelling: Connecting to Research and Practice. International Perspectives on the Teaching and Learning of Mathematical Modelling; Stillman, G., Kaiser, G., Blum, W., Brown, J., Eds.; Springer: Berlin/Heidelberg, Germany, 2013; pp. 405–413. [Google Scholar]
- Borromeo Ferri, R. Learning How to Teach Mathematical Modeling in School and Teacher Education; Springer International Publishing: Cham, Switzerland, 2018; ISBN 978-3-319-68071-2. [Google Scholar]
- Cai, J.; Cirillo, M.; Pelesko, J.A.; Ferri, R.B.; Borba, M.; Geiger, V.; Stillman, G.; English, L.D.; Wake, G.; Kaiser, G.; et al. Mathematical Modeling in School Education: Mathematical, Cognitive, Curricular. In Proceedings of the Proceedings of the Joint Meeting of PME 38 and PME-NA 36, PME-NA, Vol.1; Liljedahl, P., Nicol, C., Oesterle, S., Allan, D., Eds.; PME: Vancouver, BC, Canada, 2014; pp. 145–172. [Google Scholar]
- Guerrero-Ortiz, C.; Mena-Lorca, J.; Soto, A.M. Fostering Transit between Real World and Mathematical World: Some Phases on the Modelling Cycle. Int. J. Sci. Math. Educ. 2018, 16, 1605–1628. [Google Scholar] [CrossRef]
- Huincahue, J.; Borromeo-Ferri, R.; Mena-Lorca, J. Math modeling knowledge from reflection in math teachers initial training. Enseñanza Ciencias 2018, 36, 99–115. [Google Scholar] [CrossRef]
- Zaldívar Rojas, J.D.; Quiroz Rivera, S.A.; Medina Ramírez, G. La modelación matemática en los procesos de formación inicial y continua de docentes. Rev. Investig. Educ. Rediech 2017, 8, 87–110. [Google Scholar] [CrossRef]
- Asempapa, R.S.; Love, T.S. Teaching math modeling through 3D-printing: Examining the influence of an integrative professional development. Sch. Sci. Math. 2021, 121, 85–95. [Google Scholar] [CrossRef]
- Blum, W. Quality Teaching of Mathematical Modelling: What Do We Know, What Can We Do? In The Proceedings of the 12th International Congress on Mathematical Education; Cho, S.J., Ed.; Springer International Publishing: Cham, Switzerland, 2015; pp. 73–96. ISBN 9783319126883. [Google Scholar]
- Cirillo, M.; Pelesko, J.A.; Felton-Koestler, M.D.; Rubel, L. Perspectives on modeling in school mathematics. In Annual perspectives in Mathematics Education 2016: Mathematical Modeling and Modeling Mathematics; Hirsch, C.R., McDuffie, A.R., Eds.; National Council of Teachers of Mathematics: Reston, VA, USA, 2016; pp. 3–16. ISBN 978-0-87353-974-6. [Google Scholar]
- Lehrer, R.; Schauble, L. Origins and evaluation of model-based reasoning in mathematics and science. In Beyond Constructivism: Models and Modeling Perspectives on Mathematics Problem Solving, Learning, and Teaching; Lesh, R., Doerr, H.M., Eds.; Lawrence Erlbaum: Mahwah, NJ, USA, 2003; pp. 59–70. [Google Scholar]
- Blum, W.; Galbraith, P.; Henn, H.W.; Niss, M. Modelling and Applications in Mathematics Education: The 14th ICMI Study; Springer: New York, NY, USA, 2007. [Google Scholar]
- Kaiser, G. The teaching and learning of mathematical modelling. In Compendium for Research in Mathematics Education; J. Cai, Ed.; National Council of Teachers of Mathematics: Reston, VA, USA, 2017; pp. 267–291. [Google Scholar]
- Julie, C. Making Relevance Relevant in Mathematics Teacher Education. In Proceedings of the Proceedings of the 2nd International Conference on the Teaching of Mathematics; Vakalis, I., Hallett, D.H., Quinney, D., Kourouniotis, C., Eds.; Wiley: New York, NY, USA, 2002. [Google Scholar]
- Bosch, M.; García, F.; Gascón, J.; Ruíz-Higueras, L. La modelización matemática y el problema de la articulación de la matemática escolar. Una propuesta desde la teoría de antropológica de lo didáctco. Educ. Matemática 2006, 18, 37–74. [Google Scholar]
- Kaiser, G.; Sriraman, B. A global survey of international perspectives on modelling in mathematics education. ZDM 2006, 38, 302–310. [Google Scholar] [CrossRef]
- Ikeda, T. Pedagogical reflections on the role of modelling in mathematics instruction. In Teaching Mathematical Modelling: Connecting to Research and Practice; Stillman, G.A., Kaiser, G., Blum, W., Brown, J.P., Eds.; Springer: London, UK, 2013; pp. 255–276. [Google Scholar]
- Blomhøj, M. Different perspectives in research on the teaching and learning mathematical modelling. In Proceedings of the Mathematical Applications and Modelling in the Teaching and Learning of Mathematics: Proceedings from Topic Study Group 21 at the 11th International Congress on Mathematical ducation in Monterrey, Monterrey, Mexico, 6–13 July 2008; Blomhøj, M., Carreira, S., Eds.; Roskilde Universitet. IMFUFA-tekst: Roskilde, Denmark, 2009. i, om og med matematik og fysik No. 461, 2. pp. 1–18. [Google Scholar]
- Niss, M.A.; Højgaard, T. Competencies and Mathematical Learning: Ideas and Inspiration for the Development of Mathematics Teaching and Learning in Denmark; Niss, M.A., Højgaard, T., Eds.; Roskilde Universitet. IMFUFA-tekst: Roskilde, Denmark, 2011; i, om og med matematik og fysik No. 485. [Google Scholar]
- Blum, W.; Leiß, D. How do Students and Teachers Deal with Modelling Problems? In Mathematical Modelling: Education, Engineering and Economics; Haines, C., Galbraith, P., Blum, W., Khan, S., Eds.; Chichester: New South Wales, Australia, 2007; pp. 222–231. [Google Scholar]
- Ärlebäck, J.B.; Albarracín, L. An extension of the MAD framework and its possible implication for research. In 11th Congress of the European Society for Research in Mathematics Education; Jankvist, U.T., van den Heuvel-Panhuizen, M., Veldhuis, M., Eds.; Freudenthal Group & Freudenthal Institute, Utrecht University, Netherlands: Utrecht, The Netherlands, 2019; pp. 1232–1239. [Google Scholar]
- Ferri, R.B. Theoretical and empirical differentiations of phases in the modelling process. ZDM 2006, 38, 86–95. [Google Scholar] [CrossRef]
- Greefrath, G.; Vorhölter, K. Teaching and Learning Mathematical Modelling: Approaches and Developments from German Speaking Countries. In Teaching and Learning Mathematical Modelling. ICME-13 Topical Surveys; Springer: Cham, Switzerland, 2016; ISBN 9783319450049. [Google Scholar]
- Barbosa, J.C. Mathematical modelling in classroom: A socio-critical and discursive perspective. ZDM 2006, 38, 293–301. [Google Scholar] [CrossRef]
- Luquez Herazo, J.; Pacheco Fernández, J.; De La Hoz Molinares, E. Modelización matemática desde la perspectiva contextualizada. Rev. Boletín REDIPE 2021, 10, 463–480. [Google Scholar] [CrossRef]
- Velten, K. Mathematical Modeling and Simulation; WILEY-Springer: Weinheim, Germany, 2009; ISBN 978-3-527-40758-8. [Google Scholar]
- Castro, E.; Castro, E. Representaciones y modelización. In La Educación Matemática en la Enseñanza Secundaria; Rico, L., Ed.; Horsori: Barcelona, Spain, 1997; pp. 95–124. [Google Scholar]
- Montoya Delgadillo, E.; Viola, F.; Vivier, L. Choosing a Mathematical Working Space in a modelling task: The influence of teaching. In Proceedings of the CERME 10; Dooley, T., Gueudet, G., Eds.; DCU Institute of Education and ERME: Dublin, Ireland, 2017; pp. 956–963. [Google Scholar]
- Sriraman, B. Conceptualizing the model-eliciting perspective of mathematical problem solving. In Proceedings of the CERME 4; Bosch, M., Ed.; FUNDEMI IQS, Universitat Ramon Llull: Sant Feliu de Guíxols, Spain, 2006; pp. 1686–1695. [Google Scholar]
- Blum, W.; Borromeo, R. Mathematical Modelling: Can It Be Taught And Learnt? J. Math. Model. Appl. 2009, 1, 45–58. [Google Scholar]
- Blum, W. Can Modelling Be Taught and Learnt? Some Answers from Empirical Research. In Trends in Teaching and Learning of Mathematical Modelling. International Perspectives on the Teaching and Learning of Mathematical Modelling; Kaiser, G., Blum, W., Borromeo Ferri, R., Stillman, G., Eds.; Springer: Dordrecht, The Netherlands, 2011; pp. 15–30. [Google Scholar]
- Kaiser, G.; Sriraman, B.; Blomhøj, M.; Garcia, F.J. Report from the working group modelling and applications—differentiating perspectives and delineating commonalities. In Proceedings of the Fifth Congress of the European Society for Research in Mathematics Education; Pitta-Pantazi, D., Philippou, G., Eds.; University of Cyprus: Nicosia, Republic of Cyprus, 2007; pp. 2035–2041. [Google Scholar]
- Kaiser, G. Mathematical Modelling and Applications in Education. In Encyclopedia of Mathematics Education; Lerman, S., Ed.; Springer Netherlands: Dordrecht, The Netherlands, 2014; pp. 396–404. ISBN 978-94-007-4978-8. [Google Scholar]
- Villa-Ochoa, J.A. Miradas y actuaciones sobre la modelación matemática en el aula de clase. In Proceedings of the VIII Conferência Nacional sobre Modelagem Matemática na Educação Matemática; Centro Universitário Franciscano: Santa María-Rio Grande do Sul, Brazil, 2013; pp. 1–8. [Google Scholar]
- Isoda, A.; Arcavi, A.; Mena, A. El estudio de Clases Japonés en Matemáticas: Su Importancia Para el Mejoramiento de los Aprendizajes en el Escenario Global; Ediciones Universitarias de Valparaiso: Valparaiso, Chile, 2012. [Google Scholar]
- Rico Romero, L. El método del Análisis Didáctico. Unión. Rev. Iberoam. Educ. Matemática 2013, 33, 11–27. [Google Scholar]
- Stake, R. Investigación con Estudio de Casos, 4th ed.; Morata: Madrid, Spain, 2007. [Google Scholar]
- Yin, R.K. Case Study Research and Applications: Design and Methods; SAGE Publications: Thousand Oaks, CA, USA, 2018. [Google Scholar]
- Niss, M.; Blum, W.; Galbraith, P.L. Introduction. In Modelling and Applications in Mathematics Education. The 14th ICMI Study; Blum, W., Galbraith, P.L., Henn, H.-W., Mogens, N., Eds.; Springer: New York, NY, USA, 2007; pp. 3–32. [Google Scholar]
- Powell, S.G.; Baker, K.R. Management Science: The Art of Modeling with Spreadsheets; Wiley: New York, NY, USA, 2013; ISBN 978-1-119-29842-7. [Google Scholar]
- Passarella, S. Mathematics teachers’ inclusion of modelling and problem posing in their mathematics lessons: An exploratory questionnaire. Eur. J. Sci. Math. Educ. 2021, 9, 43–56. [Google Scholar] [CrossRef]
- Montejo-Gámez, J.; Fernández-Ahumada, E.; Adamuz-Povedano, N. Modelización matemática en el proceso de resolución de problemas contextualizados. ¿Cómo surge un modelo? In Investigación en Educación Matemática XXII; Rodríguez-Muñiz, L.J., Muñiz-Rodríguez, L., Aguilar-González, A., Alonso, P., García García, F.J., Bruno, A., Eds.; SEIEM: Gijón, Spain, 2018; pp. 368–377. [Google Scholar]
- Shahbari, J.; Daher, W. Pre-service teachers’ mathematical models’ features. Eur. J. Sci. Math. Educ. 2016, 4, 523–533. [Google Scholar]
- Brady, C. Modelling and the representational imagination. ZDM Math. Educ. 2018, 50, 45–59. [Google Scholar] [CrossRef]
- Kertil, M.; Gurel, C. Mathematical Modeling: A Bridge to STEM Education. Int. J. Educ. Math. Sci. Technol. 2016, 4, 44–55. [Google Scholar] [CrossRef]
- Godoy, L.D.; Falcoski, R.; Incrocci, R.M.; Versuti, F.M.; Padovan-Neto, F.E. The Psychological Impact of the COVID-19 Pandemic in Remote Learning in Higher Education. Educ. Sci. 2021, 11, 473. [Google Scholar] [CrossRef]
Principles | Description |
---|---|
Principle 1 | Teaching for learning focuses on improving educational practices for students’ mathematical learning |
Principle 2 | Focus on knowledge focuses on the mathematics teacher’s specialized knowledge and a vision of what to teach mathematics for and what is effective mathematics teaching. |
Principle 3 | Inquiry and reflection require continuous inquiry into one’s own practice, promoting reflection on it, on what teachers learn, and on how to bring it into the classroom. |
Principle 4 | External links provide balance and coherence between mathematics and the curriculum, providing links between other parts of the education system, school, universities, and students/teachers. Senior leaders provide proactive support for TPD. |
Principle 5 | Time involves sufficient time to achieve ownership and change (in beliefs, for example) of teachers. |
Principle 6 | Communities of practice focus on communities of practice through the exchange of views and collaborative work, rather than individual teachers. |
Principle 7 | Classroom data collection has instances of classroom data collection, including classroom experimentation—action research, for example. |
Principle 8 | Facilitation of experts considers the participation of experts (as far as possible who are among the trainers) to help model effective mathematics teaching, valuing the authority of experience as a source of professional learning. |
Categories | Description |
---|---|
C1 Applied or pragmatic modeling perspective | The teacher recognizes MM as a means to model real-life situations, where students understand and solve real-world situations. |
C2 Educational modeling perspective (learning modeling) | The teacher states that he/she knows MM as a skill to be developed in his/her students. The teacher knows the phases or activities that make up the MM, and they use them in their teaching |
C3 Conceptual modeling or educational modeling perspective (learning mathematics) | The teacher identifies MM as a means to learn mathematics, that is, he/she uses MM to teach a content through it. |
C4 Socio-critical modeling perspective | The teacher conceives MM as a means to develop critical individuals in society. |
C5 Epistemological Modeling Perspective | The teacher uses MM as a tool for his or her students to understand or reconstruct mathematics as a science, from an intra- or extra-mathematical approach, using authentic examples of how strongly mathematics shapes the world or epistemologically rich examples that shed some light on mathematics as a science. |
C6 Pedagogical Modeling Perspective | The teacher uses MM as a motivational tool for learning. |
Teachers | Dialogue |
---|---|
Teacher 4 | Yes, what I’m telling you is that this skill is the one I feel weakest in, that’s why I also applied for this skill |
Teacher 1 | I think we are in the same situation. |
Teacher 3 | It is the most complicated aspect to be able to differentiate between representing and modeling, and suddenly one falls into the trap. So that’s why I also wanted to work on modeling, which I feel is one of the most difficult to identify, and to be able to work on it in the classroom so that the children also understand it |
Teacher 4 | The initial test that you did, do you remember what your example of modeling skill was? |
Teacher 4 | Of course, the ability to model. For example in my case, what I did, or what I tried to do, because I don’t know if I did it right, I put a problem, a problem situation to the students, and it was to add, for example to add the first consecutive numbers, so first of all, we added the first 10 consecutive numbers, that is, from 1 to 10, 1 + 2 + 3 + 4 + 5, right, and we tried to find... |
Teacher 4 | So, as I was telling you, I mean, my idea was to add the first 10 numbers, from 1 to 2, to 3, up to 10, and then get some general idea, and if we get to the formula, to add the first consecutive numbers was n * (n + 1) divided by 2. So that was my initial test proposal to work on modeling skills. But I don’t know if it’s going to be focused on that. |
Teacher 1 | So basically then we kind of... do we agree that modeling is like coming up with this mathematical language? |
Teacher 4 | Exactly, like generalization, which, through this model, allows us to solve not only specific equations but generality. |
Teachers | Dialogue |
---|---|
Teacher 3 | So, if what we were doing is not modeling, what is it? |
Teacher 4 | It’s problem solving because it’s not contextualized. That’s what I understood. |
Teacher 3 | It was just problems, even if we ask him to find the expression and all that, is it just problem solving? |
Teacher 4 | What happens is that what I understood is that solving the problem, if it’s in context, then you work on modeling, but if it’s not in context, it should only be problem solving. Because solving problems can be... The context can be mathematical in itself. |
Teacher 3 | Because when... I, for example, when they presented the proposals, I said to all the previous proposals that this is not modeling, it is only representing because translating is representing. There was no problem, there was no problem to solve beyond “it represents the situation of the party...”. What they mention there. I saw that and I said, yeah, it’s translating. And I thought that ours was modeling because of the process that the student had to work through in order to arrive at the expression. |
Teacher 4 | It also allows you to predict the behavior of the figure. |
Teacher 3 | Exactly, so that’s why I thought we were the ones who were more advanced in modeling. |
Teacher 4 | Figure number 100 is going to have, I don’t know, 200 little squares. So, we could predict, as you say... If the only thing it doesn’t have is that it’s not contextualized. |
Teacher 3 | It is the context. That’s why I’m telling you, it caught my attention because I didn’t know it. |
Teacher 4 | I didn’t either. I didn’t know it was so important… I thought the important thing was to get to the model. |
Teacher 3 | I thought that, too. The path, how you get there and the process you go through to get to that expression. That’s why I had felt that we were doing very well. I said, yeah, we’re doing great for the path we’re on, but we were missing the most important thing. |
Teacher 4 | Give it a context. I think that... Well, now we have to see the context, how real... Because the context I think can also be a simulation, maybe the behavior, because I don’t think we have to look for real data of a population. Very real data, for example... |
Teacher 2 | I don’t believe this David, because remember that at one point Professor Ely said that the theme of the tiles could be used. |
Teacher 2 | And that’s not so real because it depends on what you’re going to... |
Teacher 4 | Of course, one can adjust |
Teacher 2 | I mean, the real thing is that there are tiles, that you’re going to... |
Teacher 4 | In a population x, the behavior of deaths from a new virus is both. |
Teacher 1 | But not new. |
Teacher 4 | From Covid21 |
Teacher 3 | From Covid22. |
Teacher 4 | Or the other thing would be to search. The thing is... Searching for that information, it’s accurate. |
Participants | Dialogue |
---|---|
Trainer 1 | If we were to decide what is relevant in a class that develops modeling skills, which of these three options do you think is the most relevant? - Go through the phases of the MM, even though they make mistakes. - Get students to be critical and reflective about a contextualized situation. - Find the right model and solve it |
Teacher 1 | I’ll take the first one |
Teacher 2 | Me too |
Trainer 1 | That is to say, to go through the phases of the MM, but even though there are mistakes? |
Teacher 1 | Yes, what happens is that despite the error they can make decisions and move forward in the cycle. |
Trainer 1 | And of the other two, which would be the second most relevant? “get students to be critical and reflective” or “find the right model and solve”. |
Teacher 1 and 2 | In that order I would leave it |
Participants | Dialogue |
---|---|
Trainer 1 | What did you learn throughout this process [of the program]? What is the first thing that comes to your mind? |
Teacher 1 | For me, in particular, it’s like getting out of the rigid process of modeling, for me modeling was “I take what I know, but it has to be strictly mathematical and I get to the result”, and so on, that is, so rigid, then, on the other hand now, that’s why it was very hard for me to get out of the rigid process, even to get out of the frustration of the first class where nothing came out, the first impression was that nothing came out of it. In a second we stopped and we realized that it was achieved, these are models, imprecise and all, but they are models... ah this is modeling, not necessarily achieving the scheme or the precise algebraic process, then along the way we improved it. At the same time this situation was real, it happened a lot in the course with a couple of students who reflected a lot about contagions, at one point I had to stop it because it was getting too long, I got nervous that it was not the subject, but in the end it is also part of the subject, it is something real, it is something contextualized, so that they could explain themselves, but I stopped them, I restrained them, and I took them there [to the result]. |
Teacher 2 | One is used to the fact that, since we are working and we are math teachers, then the important thing is to get to the answer, to a correct result. For me, this skill helped me to realize that the whole process that the children go through is valuable, especially when we are working with an everyday or real life situation, so taking this whole cycle is complex and one is used to the fact that it has to be this and that’s it, but here it opens the door to the fact that we also have to make the children reflective, that they are critical, that they are not just calculating machines, but they have to be open to this ability to reflect and to be critical. This is not only in science or language subjects, but we can also complement it in mathematics so that the children can make progress in the subject |
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Ramos-Rodríguez, E.; Fernández-Ahumada, E.; Morales-Soto, A. Effective Teacher Professional Development Programs. A Case Study Focusing on the Development of Mathematical Modeling Skills. Educ. Sci. 2022, 12, 2. https://doi.org/10.3390/educsci12010002
Ramos-Rodríguez E, Fernández-Ahumada E, Morales-Soto A. Effective Teacher Professional Development Programs. A Case Study Focusing on the Development of Mathematical Modeling Skills. Education Sciences. 2022; 12(1):2. https://doi.org/10.3390/educsci12010002
Chicago/Turabian StyleRamos-Rodríguez, Elisabeth, Elvira Fernández-Ahumada, and Astrid Morales-Soto. 2022. "Effective Teacher Professional Development Programs. A Case Study Focusing on the Development of Mathematical Modeling Skills" Education Sciences 12, no. 1: 2. https://doi.org/10.3390/educsci12010002
APA StyleRamos-Rodríguez, E., Fernández-Ahumada, E., & Morales-Soto, A. (2022). Effective Teacher Professional Development Programs. A Case Study Focusing on the Development of Mathematical Modeling Skills. Education Sciences, 12(1), 2. https://doi.org/10.3390/educsci12010002