Resources and strategies for teaching statistics and data analytics in higher education
The purpose of this study is to present a literature review analysis on the teaching of statistics and data analytics in higher education. The assessment includes examining the role played by specific factors as mediators of teaching-learning processes. These factors include: disciplinary and pedago...
- Autores:
-
Medina-Hernández, Edith J.
Muñiz, Jorge L.
Guzmán-Aguiar, Diana S.
Holguín-Higuita, Amparo
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12255
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12255
- Palabra clave:
- Data science
Games
Simulation
Statistics
University teaching
Estadística
Ciencia
Datos
Enseñanza Universitaria
Juegos
Simulación
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Resources and strategies for teaching statistics and data analytics in higher education |
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Recursos y estrategias para la enseñanza de la estadística y la analítica de datos en la educación superior |
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Resources and strategies for teaching statistics and data analytics in higher education |
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Resources and strategies for teaching statistics and data analytics in higher education Data science Games Simulation Statistics University teaching Estadística Ciencia Datos Enseñanza Universitaria Juegos Simulación |
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Resources and strategies for teaching statistics and data analytics in higher education |
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Resources and strategies for teaching statistics and data analytics in higher education |
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Resources and strategies for teaching statistics and data analytics in higher education |
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Resources and strategies for teaching statistics and data analytics in higher education |
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Resources and strategies for teaching statistics and data analytics in higher education |
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Medina-Hernández, Edith J. Muñiz, Jorge L. Guzmán-Aguiar, Diana S. Holguín-Higuita, Amparo |
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Medina-Hernández, Edith J. Muñiz, Jorge L. Guzmán-Aguiar, Diana S. Holguín-Higuita, Amparo |
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Data science Games Simulation Statistics University teaching Estadística Ciencia Datos Enseñanza Universitaria Juegos Simulación |
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Data science Games Simulation Statistics University teaching Estadística Ciencia Datos Enseñanza Universitaria Juegos Simulación |
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The purpose of this study is to present a literature review analysis on the teaching of statistics and data analytics in higher education. The assessment includes examining the role played by specific factors as mediators of teaching-learning processes. These factors include: disciplinary and pedagogical training of teachers, teaching styles, classroom experiences, use of didactic resources, and context. The literature review revealed that there is a need to create and develop innovative learning environments that transform the teaching of statistics at the university level, starting from rethinking the contents and curricula to favor the social dimension and the humanistic and complex thinking of students. It is concluded that, currently, the generalization of digital media and social networks imposes new challenges for teaching statistics and data analytics in the context of data science, machine learning, and big data. |
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2023-07-19T21:30:38Z |
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2023-07-19T21:30:38Z |
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2023-07 |
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Medina-Hernández, E.J., Muñiz, J.L., Guzmán-Aguiar, D.S., Holguín-Higuita, A. Resources and strategies for teaching statistics and data analytics in higher education [Recursos y estrategias para la enseñanza de la estadística y la analítica de datos en la educación superior] (2022) Formación Universitaria, 15 (3), pp. 61-68. DOI: 10.4067/S0718-50062022000300061 |
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https://hdl.handle.net/20.500.12585/12255 |
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10.4067/S0718-50062022000300061 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Medina-Hernández, E.J., Muñiz, J.L., Guzmán-Aguiar, D.S., Holguín-Higuita, A. Resources and strategies for teaching statistics and data analytics in higher education [Recursos y estrategias para la enseñanza de la estadística y la analítica de datos en la educación superior] (2022) Formación Universitaria, 15 (3), pp. 61-68. DOI: 10.4067/S0718-50062022000300061 10.4067/S0718-50062022000300061 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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Medina-Hernández, Edith J.c11e5357-b1dc-4471-be31-253c3233ca65Muñiz, Jorge L.dc4c7471-9e86-4743-b034-133607b01e52Guzmán-Aguiar, Diana S.e8451dd9-7081-48e7-b1a7-bf46fd3c0276Holguín-Higuita, Amparoa031fc7a-3cea-426e-b10c-2c2ff84984ab2023-07-19T21:30:38Z2023-07-19T21:30:38Z2022-062023-07Medina-Hernández, E.J., Muñiz, J.L., Guzmán-Aguiar, D.S., Holguín-Higuita, A. Resources and strategies for teaching statistics and data analytics in higher education [Recursos y estrategias para la enseñanza de la estadística y la analítica de datos en la educación superior] (2022) Formación Universitaria, 15 (3), pp. 61-68. DOI: 10.4067/S0718-50062022000300061https://hdl.handle.net/20.500.12585/1225510.4067/S0718-50062022000300061Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe purpose of this study is to present a literature review analysis on the teaching of statistics and data analytics in higher education. The assessment includes examining the role played by specific factors as mediators of teaching-learning processes. These factors include: disciplinary and pedagogical training of teachers, teaching styles, classroom experiences, use of didactic resources, and context. The literature review revealed that there is a need to create and develop innovative learning environments that transform the teaching of statistics at the university level, starting from rethinking the contents and curricula to favor the social dimension and the humanistic and complex thinking of students. It is concluded that, currently, the generalization of digital media and social networks imposes new challenges for teaching statistics and data analytics in the context of data science, machine learning, and big data.El propósito de este estudio es presentar una reflexión documentada frente a la enseñanza de la estadística y la analítica de datos en la educación superior. Se analiza el papel que cumplen factores como la formación disciplinar y pedagógica de los docentes, sus estilos de enseñanza, las experiencias en el aula de clase, el uso de recursos didácticos y el contexto, como mediadores de los procesos de enseñanza-aprendizaje. Como resultado de la referenciación de autores realizada, se expone frente a la necesidad de crear y desarrollar ambientes de aprendizaje innovadores que transformen la enseñanza de la estadística a nivel universitario, a partir de repensar los contenidos y currículos para favorecer la dimensión socio humanística y el pensamiento complejo de los estudiantes. Se concluye que actualmente la generalización de medios digitales y las redes sociales constituyen un nuevo reto para la enseñanza de la estadística y la analítica de datos en su integración con ciencia de datos, aprendizaje automático y macrodatos.8 páginasPdfapplication/pdfspahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Formación Universitaria - Vol. 15 No. 3 (2022)Resources and strategies for teaching statistics and data analytics in higher educationRecursos y estrategias para la enseñanza de la estadística y la analítica de datos en la educación superiorinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Data scienceGamesSimulationStatisticsUniversity teachingEstadísticaCienciaDatosEnseñanza UniversitariaJuegosSimulaciónCartagena de IndiasCarillo, K.D.A. Let’s stop trying to be “sexy” – preparing managers for the (big) data-driven business era (2017) Business Process Management Journal, 23 (3), pp. 598-622. Cited 50 times. http://www.emeraldinsight.com/info/journals/bpmj/bpmj.jsp doi: 10.1108/BPMJ-09-2016-0188Bzdok, D., Altman, N., Krzywinski, M. Points of Significance: Statistics versus machine learning (2018) Nature Methods, 15 (4), pp. 233-234. Cited 568 times. http://www.nature.com/nmeth/ doi: 10.1038/nmeth.4642Berlinski, S., Busso, M. Challenges in educational reform: An experiment on active learning in mathematics (2017) Economics Letters, 156, pp. 172-175. Cited 17 times. http://www.elsevier.com/homepage/sae/econbase/ecolet/ doi: 10.1016/j.econlet.2017.05.007Caballero-Florez, R., Rondon-Meza, M., Baleta-Palomino, L., García-Romero, T. La modelación matemática, una estrategia para la enseñanza de la estadística (2020) Revista Boletín Redipe, 9 (3), p. 153159. https://doi.org/10.36260/rbr.v9i3.940Callingham, R., Watson, J., Oates, G. Learning progressions and the Australian curriculum mathematics: The case of statistics and probability (2021) Australian Journal of Education, 65 (3), pp. 329-342. Cited 4 times. http://aed.sagepub.com/content/by/year doi: 10.1177/00049441211036521Campillo-Ferrer, J.-M., Miralles-Martínez, P., Sánchez-Ibáñez, R. Gamification in higher education: Impact on student motivation and the acquisition of social and civic key competencies (2020) Sustainability (Switzerland), 12 (12), art. no. 4822. Cited 40 times. https://www.mdpi.com/2071-1050/12/12/4822 doi: 10.3390/SU12124822Riquelme, V.C. 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The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs (2020) Advances in Health Sciences Education, 25 (5), pp. 1057-1086. Cited 16 times. http://www.kluweronline.com/issn/1382-4996 doi: 10.1007/s10459-020-10009-8Vásquez, C., García-Alonso, I. Statistical education for sustainable development in teacher training (Open Access) (2020) Profesorado, 24 (3), pp. 125-147. Cited 6 times. https://revistaseug.ugr.es/index.php/profesorado/article/view/15214 doi: 10.30827/PROFESORADO.V24I3.15214Vides-Gómez, S., Rivera-Vergel, J. La ingeniería didáctica en el proceso de enseñanza y aprendizaje de la estadística (2015) Omnia, 21 (2), pp. 96-104. ISSN: 1315-8856Wu, J.-Y. Learning analytics on structured and unstructured heterogeneous data sources: Perspectives from procrastination, help-seeking, and machine-learning defined cognitive engagement (2021) Computers and Education, 163, art. no. 104066. Cited 23 times. http://www.journals.elsevier.com/computers-and-education/ doi: 10.1016/j.compedu.2020.104066Zapata-Cardona, L., González-Gómez, D. Imágenes de los profesores sobre la estadística y su enseñanza (2017) Educación matemática, 29 (1), pp. 61-90. 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