Abstract
This study was conducted during the first semester of 2016, from March 21st to June 30th, with 104 students, in eight educational centers or polos, in the states of Minas Gerais and São Paulo. Previously, these mathematics teacher education students had no opportunity to study in higher education in Brazil. They were enrolled in a Mathematical Modelling course, as part of the Universidade Aberta do Brasil (UAB), which is the Brazilian open university, at the Universidade Federal de Ouro Preto (UFOP). All stages of this study were performed in accordance with case study methodological procedures, which covered data collection and analysis. The interpretation of the results was accomplished through the development of categories, which emerged from collected qualitative data at the completion of the fieldwork. These procedures helped the researchers to answer the research question: How can technological resources available in a Virtual Learning Environment (VLE) help students to interact and collaboratively develop mathematical modelling projects that assist them in solving problems they face in daily life? One important claim for mathematical modelling in a VLE is to favor the development of students in their interaction and collaboration in solving problems they face daily, by elaborating modelling projects through the use of technological resources available in this environment. By developing these projects, students learned to problematize, contextualize, and investigate problems. As well, they prepared questions that aimed to seek, collect, select, organize, and handle the information that allowed them to reflect critically about the role of mathematics in their own context. The results from this study show that the development of modelling projects in a VLE helped students to interact and collaboratively inquire and investigate their chosen theme in accordance with their own interests and reality.
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Notes
Educational centers or polos are extensions of the university maintained by local governments. They are equipped with computer labs, internet, libraries, and tutorial assistance.
It is important to highlight that there are theories related to distance education such as the Theory of Transactional Distance (Moore 1993) that explain how interaction is critical to the student success in the VLE.
Besides traditional face-to-face degrees, the university offers, via long-distance, teacher education degrees in geography, mathematics, and pedagogy as well as a Bachelor’s degree in public administration. The long-distance teacher education program in mathematics has been offered since the second semester of 2007.
A video lesson is a recorded lecture posted online and distributed in a video form. In this study, lectures about the development of the elaboration of the modelling projects were recorded using video, audio or both and then uploaded and made viewable on the VLE for the convenience of the students. It is necessary to highlight that video lessons are widely used in distance education with the aim of illustrating, reinforcing, and complementing the content of the course. Video lessons are important didactic resources that assist professors in the elaboration of content.
R$ is the symbol of the Brazilian currency called the real.
Reais is the plural form for Real, which is the Brazilian currency.
References
Balaji, M. S., & Chakrabarti, D. (2010). Student interactions in online discussion forum: Empirical research from ‘media richness theory’ perspective. Journal of Interactive Online Learning, 9(1), 1–22.
Borba, M. C. (2012). Humans-with-media and continuing education for mathematics teachers in online environments. ZDM Mathematics Education, 44(6), 801–814.
Borba, M. C., & Llinares, S. (2012). Online mathematics teacher education: Overview of an emergent field of research. ZDM Mathematics Education, 44(6), 697–704.
Borba, M. C., Malheiros, A. P. S., & Zulatto, R. B. A. (2010). Online distance education. Rotterdam: Sense Publishers.
Borba, M. C., & Villarreal, M. E. (2005). Humans-with-media and the reorganization of mathematical thinking: Information and communication technologies, modeling, visualization and experimentation. New York, NY: Springer Science + Business Media.
Clark, R., & Mayer, R. E. (2011). E-learning and the science of instruction [electronic resource]: Proven guidelines for consumers and designers of multimedia learning. San Francisco, CA: Pfeiffer.
Cottrell, S., & Donaldson, J. H. (2013). Exploring the opinions of registered nurses working in a clinical transfusion environment on the contribution of e-learning to personal learning and clinical practice: results of a small scale educational research study. Nurse Education in Practice, 13(3), 221–227.
Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage Publications.
Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Upper Saddle River, NJ: Merrill Prentice Hall.
Dillenbourg, P. (2000). Virtual learning environments. In Proceedings of the EUN Conference 2000—Learning in the new millennium: building new education strategies form schools (pp. 1–30). Geneva, Switzerland: EUN Conference.
Greefrath, G., & Rieβ, M. (2013). Reality based test tasks with digital tools at lower secondary. In G. A. Stillman & G. Kaiser Blum, W., & J. P. Brown (Eds.), Teaching mathematical modelling: Connecting to research and practice (pp. 445–456). New York, NY: Springer.
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82.
Haris, D. (2017). Developing a virtual learning environment on Indonesian version of realística mathematics education. In: The 2nd Annual International Seminar on Transformative Education and Educational Leadership (AISTEEL-2017). Medan City, Indonesia: Universitas Negeri Medam. Retrieved from http://aisteel2017.unimed.ac.id/. Accessed on 3 Oct 2017.
Holloway, I. (1997). Basic concepts for qualitative research. London: Blackwell Science.
Kerr, S. J., Neale, H. R., & Cobb, S. V. (2002). Virtual environments for social skills training: The importance of scaffolding in practice. In Proceedings of the Fifth International ACM SIGCAPH Conference on Assistive Technologies (pp. 104–110). New York, NY: ACM Press.
Malheiros, A. P. (2008). Educação matemática online: A elaboração de projetos de Modelagem (Online mathematics education: elaborating modelling projects). Unpublished PhD dissertation. Rio Claro, São Paulo, Brazil: UNESP.
Moore, M. G. (1993). Theory of transactional distance. In D. Keegan (Ed.), Theoretical principles of distance education (pp. 22–38). New York, NY: Routledge.
Moore, M. G., & Kearsley, G. (2005). Distance education: A system view. Belmont, CA: Wadsworth.
O’Reilly, M., & Parker, N. (2012). Unsatisfactory saturation: a critical exploration of the notion of saturated sample sizes in qualitative research. Qualitative Research, [online], 13(2), 190–197.
Parra-Zapata, M., Rendón-Mesa, P., Molina-Toro, J., Sánchez-Cardona, J., Ocampo-Arenas, M., & Villa-Ochoa, J. (2017). Participación de profesores en un ambiente de formación online. Ejemplo de un diseño em modelación matemática. Revista Virtual Universidad Católica del Norte, 50 (Febrero-Mayo), 3–20.
Pereira, R. S. G. (2015). A educação a distância e a formação continuada de professores de matemática: contribuições de um contexto formativo para a base de conhecimento docente [Distance education and continuing education of mathematics teachers: Contributions of a formative context to the teacher knowledge base]. Doctorate in Mathematics Education. Presidente Prudente: UNESP.
Reese, S. A. (2015). Online learning environments in higher education: Connectivism vs. dissociation. Education and Information Technologies, 20(3), 579–588.
Rosa, M. (2000). From reality to mathematical modelling: A proposal for using ethnomathematical knowledge. College of Education. Sacramento, CA: California State University, Sacramento (CSUS).
Rosa, M., & Orey, D. C. (2016). Developing mathematical modelling in virtual learning environments by applying critical and reflective dimensions. In K. Wallace (Ed.), Learning environments: Emerging theories, applications and future directions (pp. 1–20). New York, NY: Nova Science Publishers.
Rosa, M., & Orey, D. C. (2017). Mathematical modelling in a long-distance teacher education in Brazil: Democratizing mathematics. In G. Stillman & A. Blum, W., & G. Kaiser (Eds.), Mathematical modelling and applications: Crossing and researching boundaries in mathematics education. Cham: Springer.
Shepherd, C., Bolliger, D., Dousay, T., & Persichitte, K. (2016). Preparing teachers for online instruction with a graduate certificate program. TechTrends, 60(1), 41–47.
Silva, N., Costa, G. J. M., Rogerson, S., & Prior, M. (2007). Knowledge or content? The philosophical boundaries in e-learning pedagogical theories: Research, reflections and innovations in integrating ICT in education. London: Routledge.
Silverman, J. (2011). Supporting the development of mathematical knowledge for teaching through online asynchronous collaboration. Journal of Computers in Mathematics and Science Teaching, 30(1), 61–78.
Silverman, J. (2012). Exploring the relationship between teachers prominence in online collaboration and the development of mathematical content knowledge for teaching. Journal of Technology and Teacher Education, 20(1), 47–69.
Silverstone, S., & Keeler, J. (2013). Engaging students in online marketing classes. Global Conference on Business and Finance Proceedings, 8(2), 14–24.
Stake, R. (1995). The art of case study research. Thousand Oaks, CA: Sage Publications.
Yin, R. K. (1994). Case study research: Design and methods. Newbury Park, CA: Sage Publications.
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Orey, D.C., Rosa, M. Developing a mathematical modelling course in a virtual learning environment. ZDM Mathematics Education 50, 173–185 (2018). https://doi.org/10.1007/s11858-018-0930-8
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DOI: https://doi.org/10.1007/s11858-018-0930-8