Navigating success: visualizing student pathways and performance through interactive dashboards in higher education
In higher education institutions, generating feedback and identifying early alerts for students is a difficult challenge. Stakeholders such as program coordinators and teachers grapple with the task of summarizing and analyzing students historical data and really having a full picture of their educa...
- Autores:
-
Escobar Aristizábal, Verónica
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75002
- Acceso en línea:
- https://hdl.handle.net/1992/75002
- Palabra clave:
- Learning analytics
Student monitoring
Curriculum design
Dashboard design
Visual analytics
Visualization design
Analítica del aprendizaje
Monitoreo de estudiantes
Diseño curricular
Diseño de tableros
Analítica visual
Diseño de visualizaciones
Ingeniería
- Rights
- embargoedAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| dc.title.alternative.spa.fl_str_mv |
Navegando el éxito: visualización de las trayectorias y el desempeño de los estudiantes a través de tableros interactivos en la educación superior |
| title |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| spellingShingle |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education Learning analytics Student monitoring Curriculum design Dashboard design Visual analytics Visualization design Analítica del aprendizaje Monitoreo de estudiantes Diseño curricular Diseño de tableros Analítica visual Diseño de visualizaciones Ingeniería |
| title_short |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| title_full |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| title_fullStr |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| title_full_unstemmed |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| title_sort |
Navigating success: visualizing student pathways and performance through interactive dashboards in higher education |
| dc.creator.fl_str_mv |
Escobar Aristizábal, Verónica |
| dc.contributor.advisor.none.fl_str_mv |
Manrique Piramanrique, Rubén Francisco |
| dc.contributor.author.none.fl_str_mv |
Escobar Aristizábal, Verónica |
| dc.contributor.jury.none.fl_str_mv |
Sanguino Pérez, Juan Camilo |
| dc.subject.keyword.eng.fl_str_mv |
Learning analytics Student monitoring Curriculum design Dashboard design Visual analytics Visualization design |
| topic |
Learning analytics Student monitoring Curriculum design Dashboard design Visual analytics Visualization design Analítica del aprendizaje Monitoreo de estudiantes Diseño curricular Diseño de tableros Analítica visual Diseño de visualizaciones Ingeniería |
| dc.subject.keyword.spa.fl_str_mv |
Analítica del aprendizaje Monitoreo de estudiantes Diseño curricular Diseño de tableros Analítica visual Diseño de visualizaciones |
| dc.subject.themes.spa.fl_str_mv |
Ingeniería |
| description |
In higher education institutions, generating feedback and identifying early alerts for students is a difficult challenge. Stakeholders such as program coordinators and teachers grapple with the task of summarizing and analyzing students historical data and really having a full picture of their educational journey through university. The lack of effective synthesis and visualization tools hampers their ability to gain insights into student behavior and progression. To address these challenges, this work introduces the concept of learning analytics dashboards as a powerful solution for these problems.We focus on the design and implementation of a learning analytics dashboard tailored to the Systems and Computation Engineering undergraduate degree at the University of Los Andes in Colombia. Drawing from a structured design process for visualization design, guided by the Design Activity Framework, we aim to identify the essential stakeholder requirements and needs for student monitoring. Through the development of visualizations and prototypes, this work seeks to empower key stakeholders to uncover valuable insights and patterns related to student behavior, progression, and at-risk indicators throughout their educational pathways. Continuous validation with stakeholders and ongoing feedback ensure that the dashboard remains relevant and aligned with the needs of those who use it for educational decision-making. This research seeks to bridge the gap between data and actionable insights, ultimately enhancing the educational experience and supporting student success in a rapidly evolving higher education landscape. |
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2024 |
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2024-07-31 |
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2024-08-05 |
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2025-08-30 |
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Trabajo de grado - Pregrado |
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eng |
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E. Kohn Moreno, “Modelo de minería de datos sobre la deserción en estudiantes de pregrado,” 2014. T. Trujillo, “Apoyo a coordinadores con análisis de los estudiantes a través del sistema banner,” Universidad de los Andes Thesis/Graduation Project Collection, 2014. A. Ochoa and J. Gomez, “Boletín estadístico - 2019 | universidad de los andes,” 2 2019. A. Ochoa and J. Gomez, “Boletín estadístico - 2020 | universidad de los andes,” 5 2020. A. Ochoa, M. C. Angulo, and E. J. Garzon, “Boletín estadístico - 2021 | universidad de los andes,” 5 2021. A. Ochoa, S. A. Angulo, M. C. Diaz, E. J. Garzon, and C. F. Luque, “Boletín estadístico - 2022 | universidad de los andes,” 6 2022. E. A. Ortiz, G. Elacqua, Ángela López Sánchez, J. T. Fuentes, R. P. Castro, M. Ojeda, Y. B. Morales, F. Pedró, D. V. do Nascimento, J. Félix, and R. Chinchilla, “Educación superior y covid-19 en américa latina y el caribe: Financiamiento para los estudiantes,” 2021. Y. C. Quesada, “Acceso a la educación superior en colombia - caso de estudio: Programa ser pilo paga (2014-2018),” 2018. J. Jaramillo-Echeverri, “Movilidad social en la educación: el caso de la universidad de los andes en colombia entre 1949 y 2018,” Cuadernos de Historia Economica, February 2024. M. Molinaro, M. Steinwachs, Q. Li, and A. Guzman-Alvarez, “Promoting instructor and department action via simple, actionable tools and analyses,” in PCLA@LAK, 2016. LAK ’11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge, (New York, NY, USA), Association for Computing Machinery, 2011. F. Cueto-Ramírez, “Steps towards a predictive semantic resource recommendation system for university students,” 2020. F. J. Núñez and M. d. P. Villamil, “Uso de minería de datos para el análisis del comportamiento estudiantil,” Universidad de los Andes Thesis/Graduation Project Collection, 2013. A. Daza, “Uso de minería de datos para identificar el desempeño de los estudiantes en su proceso de escritura y competencias de español,” Universidad de los Andes Thesis/Graduation Project Collection, 2014. J. C. Villalba, “Estimación puestos estudiantes ingeniería industrial,” Universidad de los Andes Thesis/Graduation Project Collection, 2015. C. E. Prieto, “Uso de regresión logística para predecir deserción estudiantil temprana,” Universidad de los Andes Thesis/Graduation Project Collection, 2015. F. Morales, “Caracterización y segmentación de público objetivo para scouting universitario a partir de minería de datos,” Universidad de los Andes Thesis/Graduation Project Collection, 2015. K. Verbert, X. Ochoa, R. De Croon, R. A. Dourado, and T. De Laet, “Learning analytics dashboards: The past, the present and the future,” in Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, LAK ’20, (New York, NY, USA), p. 35–40, Association for Computing Machinery, 2020. O. M. Yigitbasioglu and O. Velcu, “A review of dashboards in performance management: Implications for design and research,” International Journal of Accounting Information Systems, vol. 13, no. 1, pp. 41–59, 2012. R. Bodily and K. Verbert, “Review of research on student-facing learning analytics dashboards and educational recommender systems,” IEEE Trans. Learn. Technol., vol. 10, p. 405–418, oct 2017. S. Knight and S. Buckingham Shum, “Theory and Learning Analytics,” in The Handbook of Learning Analytics (C. Lang, G. Siemens, A. F. Wise, and D. Gaševic, eds.), pp. 17–22, Alberta, Canada: Society for Learning Analytics Research (SoLAR), 1 ed., 2017. T. Munzner, “A nested model for visualization design and validation,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 921–928, 2009. S. McKenna, D. Mazur, J. Agutter, and M. Meyer, “Design activity framework for visualization design,” IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 12, pp. 2191–2200, 2014. D. C. Edelson, “Design research: What we learn when we engage in design,” Journal of the Learning Sciences, vol. 11, pp. 105–121, 1 2002. G. Mejía-Aguilar, M. M. Caballero-Márquez, K. Huggins, and L. X. Bautista-Rozo, “Abet accreditation in colombian higher education institutions: Opportunities and barriers,” Revista UIS Ingenierías, vol. 19, pp. 239–250, 6 2020. “Service design toolkit - templates,” 2019. S. Jamshed, “Qualitative research method-interviewing and observation,” Journal of Basic and Clinical Pharmacy, vol. 5, no. 4, pp. 87–88, 2014. S. Mannan, “Best practices of semi-structured interview method,” 05 2020. “Board of Innovation - Tools,” 2009. N. Morelli and C. Tollestrup, “New representation techniques for designing in a systemic perspective,” Nordes, 2009. Paper presented at Design Inquires, Stockholm. B. Ferreira, W. Silva, E. Oliveira, and T. Conte, “Designing personas with empathy map,” 05 2015. T. G. D. Group, “User needs statement - template,” 2014. |
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Manrique Piramanrique, Rubén Franciscovirtual::19791-1Escobar Aristizábal, VerónicaSanguino Pérez, Juan Camilo2024-08-05T19:48:08Z2025-08-302024-07-312024-08-05https://hdl.handle.net/1992/75002instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/In higher education institutions, generating feedback and identifying early alerts for students is a difficult challenge. Stakeholders such as program coordinators and teachers grapple with the task of summarizing and analyzing students historical data and really having a full picture of their educational journey through university. The lack of effective synthesis and visualization tools hampers their ability to gain insights into student behavior and progression. To address these challenges, this work introduces the concept of learning analytics dashboards as a powerful solution for these problems.We focus on the design and implementation of a learning analytics dashboard tailored to the Systems and Computation Engineering undergraduate degree at the University of Los Andes in Colombia. Drawing from a structured design process for visualization design, guided by the Design Activity Framework, we aim to identify the essential stakeholder requirements and needs for student monitoring. Through the development of visualizations and prototypes, this work seeks to empower key stakeholders to uncover valuable insights and patterns related to student behavior, progression, and at-risk indicators throughout their educational pathways. Continuous validation with stakeholders and ongoing feedback ensure that the dashboard remains relevant and aligned with the needs of those who use it for educational decision-making. This research seeks to bridge the gap between data and actionable insights, ultimately enhancing the educational experience and supporting student success in a rapidly evolving higher education landscape.Entendido, aquí está la traducción corregida: En las instituciones de educación superior, generar retroalimentación e identificar alertas tempranas para los estudiantes es un desafío difícil. Los actores interesados, como los coordinadores de programas y los profesores, se enfrentan a la tarea de resumir y analizar los datos históricos de los estudiantes y tener una visión completa de su trayectoria educativa a través de la universidad. La falta de herramientas efectivas de síntesis y visualización dificulta su capacidad para obtener información sobre el comportamiento y la progresión de los estudiantes. Para abordar estos desafíos, este trabajo introduce el concepto de tableros de análisis del aprendizaje como una solución poderosa para estos problemas. Nos enfocamos en el diseño e implementación de un tablero de análisis del aprendizaje adaptado al programa de Ingeniería de Sistemas y Computación de pregrado en la Universidad de Los Andes en Colombia. A partir de un proceso de diseño estructurado para la visualización, guiado por el Design Activity Framework, buscamos identificar los requisitos y necesidades esenciales de los interesados para el monitoreo de los estudiantes. A través del desarrollo de visualizaciones y prototipos, este trabajo busca capacitar a los actores clave para descubrir conocimientos y patrones valiosos relacionados con el comportamiento de los estudiantes, su progresión y los indicadores de riesgo a lo largo de sus trayectorias educativas. La validación continua con los interesados y la retroalimentación constante aseguran que el tablero permanezca relevante y alineado con las necesidades de aquellos que lo utilizan para la toma de decisiones educativas. Esta investigación busca cerrar la brecha entre los datos y la información accionable, mejorando en última instancia la experiencia educativa y apoyando el éxito estudiantil en un panorama de educación superior en rápida evolución.Pregrado116 páginasapplication/pdfengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computaciónhttps://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfNavigating success: visualizing student pathways and performance through interactive dashboards in higher educationNavegando el éxito: visualización de las trayectorias y el desempeño de los estudiantes a través de tableros interactivos en la educación superiorTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPLearning analyticsStudent monitoringCurriculum designDashboard designVisual analyticsVisualization designAnalítica del aprendizajeMonitoreo de estudiantesDiseño curricularDiseño de tablerosAnalítica visualDiseño de visualizacionesIngenieríaE. Kohn Moreno, “Modelo de minería de datos sobre la deserción en estudiantes de pregrado,” 2014.T. Trujillo, “Apoyo a coordinadores con análisis de los estudiantes a través del sistema banner,” Universidad de los Andes Thesis/Graduation Project Collection, 2014.A. Ochoa and J. Gomez, “Boletín estadístico - 2019 | universidad de los andes,” 2 2019.A. Ochoa and J. Gomez, “Boletín estadístico - 2020 | universidad de los andes,” 5 2020.A. Ochoa, M. C. Angulo, and E. J. Garzon, “Boletín estadístico - 2021 | universidad de los andes,” 5 2021.A. Ochoa, S. A. Angulo, M. C. Diaz, E. J. Garzon, and C. F. Luque, “Boletín estadístico - 2022 | universidad de los andes,” 6 2022.E. A. Ortiz, G. Elacqua, Ángela López Sánchez, J. T. Fuentes, R. P. Castro, M. Ojeda, Y. B. Morales, F. Pedró, D. V. do Nascimento, J. Félix, and R. Chinchilla, “Educación superior y covid-19 en américa latina y el caribe: Financiamiento para los estudiantes,” 2021.Y. C. Quesada, “Acceso a la educación superior en colombia - caso de estudio: Programa ser pilo paga (2014-2018),” 2018.J. Jaramillo-Echeverri, “Movilidad social en la educación: el caso de la universidad de los andes en colombia entre 1949 y 2018,” Cuadernos de Historia Economica, February 2024.M. Molinaro, M. Steinwachs, Q. Li, and A. Guzman-Alvarez, “Promoting instructor and department action via simple, actionable tools and analyses,” in PCLA@LAK, 2016.LAK ’11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge, (New York, NY, USA), Association for Computing Machinery, 2011.F. Cueto-Ramírez, “Steps towards a predictive semantic resource recommendation system for university students,” 2020.F. J. Núñez and M. d. P. Villamil, “Uso de minería de datos para el análisis del comportamiento estudiantil,” Universidad de los Andes Thesis/Graduation Project Collection, 2013.A. Daza, “Uso de minería de datos para identificar el desempeño de los estudiantes en su proceso de escritura y competencias de español,” Universidad de los Andes Thesis/Graduation Project Collection, 2014.J. C. Villalba, “Estimación puestos estudiantes ingeniería industrial,” Universidad de los Andes Thesis/Graduation Project Collection, 2015.C. E. Prieto, “Uso de regresión logística para predecir deserción estudiantil temprana,” Universidad de los Andes Thesis/Graduation Project Collection, 2015.F. Morales, “Caracterización y segmentación de público objetivo para scouting universitario a partir de minería de datos,” Universidad de los Andes Thesis/Graduation Project Collection, 2015.K. Verbert, X. Ochoa, R. De Croon, R. A. Dourado, and T. De Laet, “Learning analytics dashboards: The past, the present and the future,” in Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, LAK ’20, (New York, NY, USA), p. 35–40, Association for Computing Machinery, 2020.O. M. Yigitbasioglu and O. Velcu, “A review of dashboards in performance management: Implications for design and research,” International Journal of Accounting Information Systems, vol. 13, no. 1, pp. 41–59, 2012.R. Bodily and K. Verbert, “Review of research on student-facing learning analytics dashboards and educational recommender systems,” IEEE Trans. Learn. Technol., vol. 10, p. 405–418, oct 2017.S. Knight and S. Buckingham Shum, “Theory and Learning Analytics,” in The Handbook of Learning Analytics (C. Lang, G. Siemens, A. F. Wise, and D. Gaševic, eds.), pp. 17–22, Alberta, Canada: Society for Learning Analytics Research (SoLAR), 1 ed., 2017.T. Munzner, “A nested model for visualization design and validation,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 921–928, 2009.S. McKenna, D. Mazur, J. Agutter, and M. Meyer, “Design activity framework for visualization design,” IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 12, pp. 2191–2200, 2014.D. C. Edelson, “Design research: What we learn when we engage in design,” Journal of the Learning Sciences, vol. 11, pp. 105–121, 1 2002.G. Mejía-Aguilar, M. M. Caballero-Márquez, K. Huggins, and L. X. Bautista-Rozo, “Abet accreditation in colombian higher education institutions: Opportunities and barriers,” Revista UIS Ingenierías, vol. 19, pp. 239–250, 6 2020.“Service design toolkit - templates,” 2019.S. Jamshed, “Qualitative research method-interviewing and observation,” Journal of Basic and Clinical Pharmacy, vol. 5, no. 4, pp. 87–88, 2014.S. Mannan, “Best practices of semi-structured interview method,” 05 2020.“Board of Innovation - Tools,” 2009.N. Morelli and C. Tollestrup, “New representation techniques for designing in a systemic perspective,” Nordes, 2009. Paper presented at Design Inquires, Stockholm.B. Ferreira, W. Silva, E. Oliveira, and T. Conte, “Designing personas with empathy map,” 05 2015.T. G. D. Group, “User needs statement - template,” 2014.201922197Publication9f6e12e0-098e-4548-ab81-75552e8385e7virtual::19791-19f6e12e0-098e-4548-ab81-75552e8385e7virtual::19791-1ORIGINALNavigatingSuccess_StudentPatways.pdfNavigatingSuccess_StudentPatways.pdfRestricción de acceso hasta agosto de 2025. 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