In Higher Mathematics: The analytics of connected learning and MATLAB online
DOI:
https://doi.org/10.5281/zenodo.10576479Palabras clave:
Matemática, aprendizaje, educación, programaciónResumen
This investigation is the foundation of a project related to the teaching of the subject Mathematical Programming. Said work is limited to the investigations carried out in the Digital Education Specialty and based on them it was possible to create structural models as a foundation for the Connected Learning Analytics. Where the basic principles of mathematical programming are outlined through a predictive analysis plan and existing academic doubts between teacher and student are clarified with the use of technology; at the same time projected as solutions. However, this is the beginning of the construction of knowledge for future Engineers. Since, unfortunately, this methodological adaptation is not always assumed by the teachers who take the subjects of Exact Sciences. Reason for this, this time the online update paradigm and one of its key tools have been chosen: MATLAB.
Citas
Badri, M. (2021). Adoption of innovations online tutoring apps on high school students. Journal of Physics: Conference Series, 1823(1). https://doi.org/10.1088/1742-6596/1823/1/012026
Bender, S., & Peppler, K. (2019). Connected learning ecologies as an emerging opportunity through Cosplay. Comunicar, 27(58). https://doi.org/10.3916/C58-2019-03
Beneroso, D., & Robinson, J. (2022). Online project-based learning in engineering design: Supporting the acquisition of design skills. Education for Chemical Engineers, 38. https://doi.org/10.1016/j.ece.2021.09.002
Cui, G. (2020). Organizing vocational education and training in schools: A case study of Australian Governments’ educational policies. Advances in Social Sciences Research Journal, 7(1), 247-267. https://doi.org/10.14738/assrj.71.7517
Esmaeilimotlagh, M., Basiri, Z., Kheirabadi, M. A., & Oveisi, K. (2019). The effect of information and communication technology on the professional development of teachers. Journal of Computational and Theoretical Nanoscience, 16(1). https://doi.org/10.1166/jctn.2019.7951
Isrokatun, I., Haryani, C. S., & Rahmi, N. I. (2021). Analysis of mathematical problem-posing ability. Journal of Physics: Conference Series, 1869(1). https://doi.org/10.1088/1742-6596/1869/1/012122
James Bell Associates. (2018). Guide to Data-Driven Decision Making: Using Data to Inform Practice and Policy Decisions in Child Welfare Organizations. Washington, DC: Children’s Bureau, Administration for Children and Families, U.S. Department of Health and Human Services, March.
Kruger, K., Wolff, K., & Cairncross, K. (2022). Real, virtual, or simulated: Approaches to emergency remote learning in engineering. Computer Applications in Engineering Education, 30(1). https://doi.org/10.1002/cae.22444
Kukulska-Hulme, A., Giri, R. A., Dawadi, S., Devkota, K. R., & Gaved, M. (2023). Languages and technologies in education at school and outside of school: Perspectives from young people in low-resource countries in Africa and Asia. Frontiers in Communication, 8. https://doi.org/10.3389/fcomm.2023.1081155
Li, L., & Wang, X. (2021). Technostress inhibitors and creators and their impacts on university teachers’ work performance in higher education. Cognition, Technology and Work, 23(2). https://doi.org/10.1007/s10111-020-00625-0
Moore, H. L., Bakker, A. B., & van Mierlo, H. (2022). Using strengths and thriving at work: The role of colleague strengths recognition and organizational context. European Journal of Work and Organizational Psychology, 31(2). https://doi.org/10.1080/1359432X.2021.1952990
Muezzinoglu, T., Baygin, N., Tuncer, I., Barua, P. D., Baygin, M., Dogan, S., Tuncer, T., Palmer, E. E., Cheong, K. H., & Acharya, U. R. (2023). PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. Journal of Digital Imaging, 36(3). https://doi.org/10.1007/s10278-023-00789-x
Musna, R. R., Juandi, D., & Jupri, A. (2021). A meta-analysis study of the effect of Problem-Based Learning model on students’ mathematical problem-solving skills. Journal of Physics: Conference Series, 1882(1). https://doi.org/10.1088/1742-6596/1882/1/012090
Nissilä, S. P., Karjalainen, A., & Koukkari, M. (2022). It is the Shared Aims, Trust and Compassion that Allow People to Prosper: Teacher Educators´ Lifelong Learning in Competence-based Education. European Journal of Educational Research, 11(2). https://doi.org/10.12973/eu-jer.11.2.965
Palau-Sampio, D., & Sánchez-García, P. (2020). Digital resources in the current journalistic narrative: Uses and limitations of hypertext, multimedia and interactivity. Communication and Society, 33(2). https://doi.org/10.15581/003.33.2.1-16
Pham, Q. N., & Li, M. (2023). Digital Multimodal Composing Using Visme: EFL Students’ Perspectives. Asia-Pacific Education Researcher, 32(5). https://doi.org/10.1007/s40299-022-00687-w
Yan, J. (2024). Research on Data-driven College English Teaching Model Based on Reinforcement Learning and Virtual Reality through Online Gaming. Computer-Aided Design and Applications, 21(s5). https://doi.org/10.14733/cadaps.2024.S5.197-210
Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100061
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 Educación y sociedad
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Los autores ceden su derecho de autor a Educación y Sociedad y otorgan a todos los usuarios potenciales, de manera irrevocable y por un período de tiempo ilimitado, el derecho de utilizar, copiar, transformar y distribuir el contenido. La cesión de derecho de autor incluye también:
- Traducir, adaptar, reutilizar, resumir el trabajo y ejercer todos sus derechos sobre dichas adaptaciones, resúmenes, extractos y obras derivadas.
- Incluir el trabajo y su versión traducida, adaptada o resumida, total o parcialmente, en bases de datos informatizadas, selección o recopilación de textos digitales o impresos a disposición de terceros.
Cada autor asume que en caso de que el artículo fuese aprobado para su publicación en la revista Educación y Sociedad:
- Cede sus derechos patrimoniales y autoriza al comité editorial para la publicación del documento con el correo electrónico y la afiliación institucional de los autores.
- Autoriza la divulgación en la página web de la revista, en repositorios y directorios en se incluye o pueda incluirse en el futuro.
- Certifica que ha contribuido directamente al contenido intelectual de este manuscrito.
- Se responsabiliza públicamente con su contenido y acepta que su nombre figure en la lista de autores.
- Garantiza que el artículo es un documento original y no ha sido publicado total ni parcialmente, en ningún otro lugar.
- No ha incurrido en fraude científico, plagio o vicios de autoría; en caso contrario se exime de toda responsabilidad a la revista Educación y Sociedad y se declara responsable.
- Se compromete a no presentar este artículo a otra revista para su publicación, hasta recibir la decisión de la editorial de la publicación sobre el concepto final.