Publicación: Learning analitycs y sus aportes a la evaluación y la inclusión en educación superior
dc.contributor.advisor | Giraldo Cardozo, Juan Carlos | |
dc.contributor.author | Ávila Esquivel, Idanis Milena | |
dc.date.accessioned | 2021-10-11T21:28:57Z | |
dc.date.available | 2021-10-11T21:28:57Z | |
dc.date.issued | 2021-10-09 | |
dc.description.abstract | La presente monografía es una investigación de carácter teórica sobre Learning Analytics (analítica del aprendizaje) vista desde la perspectiva de diversos autores, como una herramienta integradora e incluyente en la educación superior. Para la construcción de esta monografía, se hizo una profunda búsqueda de documentos; examinando literaturas de diversos tipos como archivos de documentación historíca y o gubernamental, revistas, entre otros; relacionados con la temática y se tuvo en cuenta el año de publicación, la relevancia en el texto, las palabras claves que enmarcan el contexto y la profundización del tema a desarrollar. | spa |
dc.description.degreelevel | Pregrado | spa |
dc.description.degreename | Licenciado(a) en Informática | spa |
dc.description.modality | Monografía | spa |
dc.description.tableofcontents | CAPITULO i. INTRODUCCIÓN. 7 | spa |
dc.description.tableofcontents | CAPÍTULO II. DESARROLLO 9 | spa |
dc.description.tableofcontents | 2.1. Concepto Del Learning Analitycs 10 | spa |
dc.description.tableofcontents | 2.2. Modelos 13 | spa |
dc.description.tableofcontents | 2.2.1. Modelo Chatti. 14 | spa |
dc.description.tableofcontents | 2.2.2. Modelo Martin & Sherin. 18 | spa |
dc.description.tableofcontents | 2.2.3. Modelo Picciano 24 | spa |
dc.description.tableofcontents | 2.2.4. Modelo Siemens 25 | spa |
dc.description.tableofcontents | 2.3. Categorización del Learning Analytics. 28 | spa |
dc.description.tableofcontents | 2.3.1. Analítica Descriptiva de Aprendizaje 29 | spa |
dc.description.tableofcontents | 2.3.2. Analítica Diagnóstica de Aprendizaje 31 | spa |
dc.description.tableofcontents | 2.3.3. Analítica Predictiva de Aprendizaje 32 | spa |
dc.description.tableofcontents | 2.3.4. Analítica Prescriptiva de Aprendizaje 33 | spa |
dc.format.mimetype | application/pdf | spa |
dc.identifier.uri | https://repositorio.unicordoba.edu.co/handle/ucordoba/4645 | |
dc.language.iso | spa | spa |
dc.publisher.faculty | Facultad de Educación y Ciencias Humanas | spa |
dc.publisher.place | Montería, Córdoba, Colombia | spa |
dc.publisher.program | Licenciatura en Informática y Medios Audiovisuales | spa |
dc.rights | Copyright Universidad de Córdoba, 2021 | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | spa |
dc.subject.keywords | Learning analytics | eng |
dc.subject.keywords | Learning analytics categories | eng |
dc.subject.keywords | Evaluation with learning analytics in education | eng |
dc.subject.keywords | Formative assessment analytical models of learning | eng |
dc.subject.keywords | Learning analytics experiences in higher education | eng |
dc.subject.keywords | Inclusion and learning analytics in education | eng |
dc.subject.proposal | Analítica del aprendizaje | spa |
dc.subject.proposal | Categorías de analíticas de aprendizaje | spa |
dc.subject.proposal | Evaluación con analítica del aprendizaje en educación | spa |
dc.subject.proposal | Evaluación formativa modelos de analítica del aprendizaje | spa |
dc.subject.proposal | Experiencias de analíticas del aprendizaje en educación superior | spa |
dc.subject.proposal | Inclusión y analítica del aprendizaje en la educación | spa |
dc.title | Learning analitycs y sus aportes a la evaluación y la inclusión en educación superior | spa |
dc.type | Trabajo de grado - Pregrado | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | spa |
dc.type.redcol | https://purl.org/redcol/resource_type/TP | spa |
dc.type.version | info:eu-repo/semantics/submittedVersion | spa |
dcterms.references | Andrade, A., Delandshere, G., & Danish, J. A. (2016). Using Multimodal Learning Analytics to Model Student Behavior: A Systematic Analysis of Epistemological Framing. Journal of Learning Analytics, 3(2), 282–306. https://doi.org/10.18608/jla.2016.32.14 | spa |
dcterms.references | Avila, C., Baldiris, S., Fabregat, R., & Graf, S. (2020). Evaluation of a learning analytics tool for supporting teachers in the creation and evaluation of accessible and quality open educational resources. British Journal of Educational Technology, 51(4), 1019–1038. https://doi.org/10.1111/bjet.12940 | spa |
dcterms.references | Banihashem, S. K., Aliabadi, K., Pourroostaei Ardakani, S., Delaver, A., & Nili Ahmadabadi, M. (2018). Learning Analytics: A Systematic Literature Review. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 9(2). https://doi.org/10.5812/ijvlms.63024 | spa |
dcterms.references | BIPRAGMA. (2021). Analítica Diagnóstica Business intelligence. https://www.bipragma.com/products-and-services/business-intelligence/diagnostic-analytics/#:~:text=La analítica diagnóstica también es,presentó en el análisis descriptivo.&text=La mayor ventaja de las,serie de modelos de datos. | spa |
dcterms.references | Boulton, C. A., Kent, C., & Williams, H. T. P. (2018). Virtual learning environment engagement and learning outcomes at a ‘bricks-and-mortar’ university. Computers and Education, 126(September 2017), 129–142. https://doi.org/10.1016/j.compedu.2018.06.031 | spa |
dcterms.references | Buenaño-Fernández, D., & Luján-Mora, S. (2018). Propuesta de aplicación de minería de procesos para evaluar las rutas de aprendizaje de estudiantes con discapacidad visual en cursos en línea. Revista Ibérica de Sistemas e Tecnologias de Informação Iberian Journal of Information Systems and Technologies. | spa |
dcterms.references | Canul, F. A. F. (2018). La evaluación y su importancia en la educación. https://educacion.nexos.com.mx/?p=713 | spa |
dcterms.references | Cárdenas-Robledo, L. A., & Peña-Ayala, A. (2018). Ubiquitous learning: A systematic review. Telematics and Informatics, 35(5), 1097–1132. https://doi.org/10.1016/j.tele.2018.01.009 | spa |
dcterms.references | Celdrán, A. H., Ruipérez-Valiente, J. A., Clemente, F. J. G., Rodríguez-Triana, M. J., Shankar, S. K., & Pérez, G. M. (2020). A scalable architecture for the dynamic deployment of multimodal learning analytics applications in smart classrooms. Sensors (Switzerland), 20(10). https://doi.org/10.3390/s20102923 | spa |
dcterms.references | Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2018). A reference model for learning analytics. International Journal of Technology Enhanced Learning, 4(5–6), 318–331. https://doi.org/10.1504/IJTEL.2012.051815 | spa |
dcterms.references | Chick, R. C., Clifton, G. T., Peace, K. M., Propper, B. W., Hale, D. F., Alseidi, A. A., & Vreeland, T. J. (2020). Using Technology to Maintain the Education of Residents During the COVID-19 Pandemic. Journal of Surgical Education. https://doi.org/10.1016/j.jsurg.2020.03.018 | spa |
dcterms.references | Chiappe, A., Rodríguez, L. P., Chiappe, A., & Rodríguez, L. P. (2017). Learning Analytics in 21st century education: a review. Ensaio: Avaliação e Políticas Públicas Em Educação, 25(97), 971–991. https://doi.org/10.1590/s0104-40362017002501211 | spa |
dcterms.references | Dawson, S., Joksimovic, S., Poquet, O., & Siemens, G. (2019). Increasing the impact of learning analytics. ACM International Conference Proceeding Series, March, 446–455. https://doi.org/10.1145/3303772.3303784 | spa |
dcterms.references | De Freitas, S., Gibson, D., Du Plessis, C., Halloran, P., Williams, E., Ambrose, M., Dunwell, I., & Arnab, S. (2015). Foundations of dynamic learning analytics: Using university student data to increase retention. British Journal of Educational Technology, 46(6), 1175–1188. https://doi.org/10.1111/bjet.12212 | spa |
dcterms.references | Doleck, T., Lemay, D. J., Basnet, R. B., & Bazelais, P. (2020). Predictive analytics in education: a comparison of deep learning frameworks. Education and Information Technologies, 25(3), 1951–1963. https://doi.org/10.1007/s10639-019-10068-4 | spa |
dcterms.references | Ekowo, M., & Palmer, I. (2017). Predictive Analytics in Higher Education: Five Guiding Practices for Ethical Use. New America, March(March). https://na-production.s3.amazonaws.com/documents/Predictive-Analytics-GuidingPractices.pdf | spa |
dcterms.references | Essa, A. (2016). A possible future for next generation adaptive learning systems. Smart Learning Environments, 3(1). https://doi.org/10.1186/s40561-016-0038-y | spa |
dcterms.references | Ferguson, R., & Shum, S. B. (2012). Social learning analytics: Five approaches. ACM International Conference Proceeding Series, May, 23–33. https://doi.org/10.1145/2330601.2330616 | spa |
dcterms.references | Filva, D. A. (2021). Analítica del Aprendizaje, 30 experiencias con datos en el aula. https://eduliticas.com/analitica-aprendizaje-30-experiencias-datos-aula/ | spa |
dcterms.references | Filvà, D. A., Forment, M. A., García-Peñalvo, F. J., Escudero, D. F., & Casañ, M. J. (2019). Learning analytics to assess students’ behavior with Scratch. Future Generation Computer Systems, 93, 673–686. https://doi.org/10.1016/j.future.2018.10.057 | spa |
dcterms.references | Fitipaldo, A. L. G., & Alvarez, M. P. (2017). Inclusión digital. Educación con Nuevos Horizontes. El paisaje como mediador de nuevas pedagogías y tecnologias. December, 120–124. https://doi.org/10.5151/sigradi2017-019 | spa |
dcterms.references | Froissard, J.-C., Liu, D., Richards, D., & Atif, A. (2017). A learning analytics pilot in Moodle and its impact on developing organisational capacity in a university. In ASCILITE 2017 (Vol. 53, Issue 9, pp. 73–77). | spa |
dcterms.references | Garay, E. E. C., & Arrúa, M. A. (2021). Impact of COVID-19 on university dropouts from business careers. UNE, 40–50. | spa |
dcterms.references | González, L., & Lugo, C. (2020). Fortalecimiento de la práctica docente con Learning Analytics: estudio de caso. Praxis & Saber, 11(25), 229–256. https://doi.org/10.19053/22160159.v11.n25.2020.9075 | spa |
dcterms.references | Gordon, S. P., & McGhee, M. W. (2019). The Power of Formative Evaluation of Teaching. 15–35. https://doi.org/10.1007/978-3-030-16454-6_2 | spa |
dcterms.references | Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y. S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A., & Pérez-Sanagustín, M. (2020). Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach. Internet and Higher Education, 45(December 2019), 100726. https://doi.org/10.1016/j.iheduc.2020.100726 | spa |
dcterms.references | IBM. (2020). Analítica predictiva. https://www.ibm.com/co-es/analytics/predictive-analytics | spa |
dcterms.references | Kovanović, V., Joksimović, S., Mirriahi, N., Blaine, E., Gašević, D., Siemens, G., & Dawson, S. (2018). Understand students’ self-Reflections through learning analytics. ACM International Conference Proceeding Series, 389–398. https://doi.org/10.1145/3170358.3170374 | spa |
dcterms.references | Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020). Prescriptive analytics: Literature review and research challenges. International Journal of Information Management, 50(April 2019), 57–70. https://doi.org/10.1016/j.ijinfomgt.2019.04.003 | spa |
dcterms.references | Liu, Y., Mao, G., Leiva, V., Liu, S., & Tapia, A. (2020). Diagnostic analytics for an autoregressive model under the skew-normal distribution. Mathematics, 8(5), 1–19. https://doi.org/10.3390/MATH8050693 | spa |
dcterms.references | Long, P., & Siemens, G. (2011). Penetrating the Fog: Analytics Learning in Education. Educause, 29(3), 237–240. https://doi.org/10.1177/0894318416647779 | spa |
dcterms.references | Luo, Z., Hsieh, J.-T., Balachandar, N., Yeung, S., Pusiol, G., Luxenberg, J., Li, G., Li, L.-J., Downing, N. L., Milstein, A., & Fei-Fei, L. (2018). Computer Vision-Based Descriptive Analytics of Seniors’ Daily Activities for Long-Term Health Monitoring. Proceedings of Machine Learning Research, 85(August), 1–18. | spa |
dcterms.references | Mangaroska, K., Giannakos, M., & Member, S. (2018). Learning analytics for learning design : A systematic literature review of analytics-driven design to enhance learning. September. https://doi.org/10.1109/TLT.2018.2868673 | spa |
dcterms.references | Mangaroska, K., Vesin, B., & Giannakos, M. (2019). Cross-platform analytics: A step towards personalization and adaptation in education. ACM International Conference Proceeding Series, 71–75. https://doi.org/10.1145/3303772.3303825 | spa |
dcterms.references | Martin, T., & Sherin, B. (2013). Learning Analytics and Computational Techniques for Detecting and Evaluating Patterns in Learning: An Introduction to the Special Issue. Journal of the Learning Sciences, 22(4), 511–520. https://doi.org/10.1080/10508406.2013.840466 | spa |
dcterms.references | Martínez, N. N. (2020). MATERIALES EDUCATIVOS DIGITALES PARA FORTALECER LA ENSEÑANZA DE LOS ESTUDIANTES CON DISCAPACIDAD COGNITIVA. Journal of Chemical Information and Modeling, 21(1). https://repositorio.unicordoba.edu.co/bitstream/handle/ucordoba/3916/narvaezmartineznellysmaria.pdf?sequence=1&isAllowed=y | spa |
dcterms.references | Mishra, L., Gupta, T., & Shree, A. (2020). Online Teaching-Learning in Higher Education during Lockdown Period of COVID-19 Pandemic. International Journal of Educational Research Open, 100012. https://doi.org/10.1016/j.ijedro.2020.100012 | spa |
dcterms.references | Moodle. (2019). Analítica. 2019. https://docs.moodle.org/all/es/Analítica | spa |
dcterms.references | Niño, M., & Ariza, J. (2015). HERRAMIENTA DE LEARNING ANALYTICS PARE EL PROCESO DE APRENDIZAJE EN UN AULA VIRTUAL (Vol. 13). | spa |
dcterms.references | ONU Habitat. (2020). Tecnologías digitales y la pandemia de COVID-19. Ciudades y Gobiernos Unidos, 17. https://www.uclg.org/sites/default/files/eng_briefing_technology_es.pdf | spa |
dcterms.references | Otero-Saborido, F. M., Sánchez-Oliver, A. J., Grimaldi-Puyana, M., & Álvarez-García, J. (2018). Flipped learning and formative evaluation in higher education. Education + Training, 60(5), 421–430. https://doi.org/10.1108/ET-12-2017-0208 | spa |
dcterms.references | Papamitsiou, Z., Giannakos, M. N., & Ochoa, X. (2020). From childhood to maturity: Are we there yet? Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, 559–568. | spa |
dcterms.references | Picciano, A. G. (2012). The evolution of big data and learning analytics in american higher education. Journal of Asynchronous Learning Network, 16(3), 9–20. https://doi.org/10.24059/olj.v16i3.267 | spa |
dcterms.references | Quesada Castillo, R. (2019). Evaluación del aprendizaje en la educación a distancia “en línea” Learning evaluation in on-line distance education. RED. Revista de Educación a Distancia, 15. http://www.um.es/ead/red/M6 | spa |
dcterms.references | Quintero, J. B., Luis, F., Montaya, G., & Villanueva, D. M. (2018). ANALÍTICA DE DATOS PARA SISTEMAS DE COSTOS Basados En Actividades En La Era De Big Data. Revista Del Instituto Internacional de Costos, 64–82. https://dialnet.unirioja.es/servlet/articulo?codigo=7457929 | spa |
dcterms.references | Rajni, J., & Malaya, D. B. (2015). Predictive Analytics in a Higher Education Context in a Higher Education Context. August. | spa |
dcterms.references | Rojas Castro, P., & Rojas-Castro, P. (2017). Learning Analytics. Una Revisión de la Literatura. Educación y Educadores, 20(1), 106–128. https://doi.org/10.5294/edu.2017.20.1.6 | spa |
dcterms.references | Roldán, C. (2020). Predicción de la Deserción Estudiantil y Aplicación de Learning Analytics en la Escuela Ing. Cassaffousth Ing. 21(1), 1–9. https://rdu.unc.edu.ar/handle/11086/18019 | spa |
dcterms.references | Sabulsky, G. (2019). Analíticas de Aprendizaje para mejorar el aprendizaje y la comunicación a través de entornos virtuales. Revista Iberoamericana de Educación, 80(1), 13–30. https://doi.org/10.35362/rie8013340 | spa |
dcterms.references | Şahin, M., & Yurdugül, H. (2019). An intervention engine design and development based on learning analytics: the intelligent intervention system (In2S). Smart Learning Environments, 6(1). https://doi.org/10.1186/s40561-019-0100-7 | spa |
dcterms.references | Salazar Cardona, J. A., & Triviño Arbelaez, J. I. (2019). Aplicación de Learning Analytics y Educational Data Mining en una institución de educación superior en Colombia. Revista Ingenierías Universidad de Medellín, 19(36), 71–89. https://doi.org/10.22395/rium.v19n36a4 | spa |
dcterms.references | Salgado Reyes, N., Beltrán Morales, J., Guaña Moya, J., Escobar Teran, C., Nicolalde Rodriguez, D., & Chafla Altamirano, G. (2018). Modelo para predecir el rendimiento académico basado en redes neuronales y analítica de aprendizaje. Iberian Journal of Information Systems and Technologies, 258–266. https://uvirtual.uce.edu.ec/ | spa |
dcterms.references | Samuelsen, J., Chen, W., & Wasson, B. (2019). Integrating multiple data sources for learning analytics—review of literature. Research and Practice in Technology Enhanced Learning, 14(1). https://doi.org/10.1186/s41039-019-0105-4 | spa |
dcterms.references | Sandoval Pineda, L. A., & Quevedo Reyes, J. E. (2015). Evaluación formativa para entornos virtuales en áreas de bases de datos [Formative evaluation for virtual environments in the areas of databases]. Ventana Informatica, 32, 47–59. https://doi.org/10.30554/ventanainform.32.1096.2015 | spa |
dcterms.references | Schumacher, C., & Ifenthaler, D. (2016). Features Students Really Expect From. Celda, 67–76. | spa |
dcterms.references | Sharma, K., Giannakos, M., & Dillenbourg, P. (2020). Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learning Environments, 7(1). https://doi.org/10.1186/s40561-020-00122-x | spa |
dcterms.references | Shibani, A., Knight, S., & Shum, S. B. (2019). Contextualizable learning analytics design: A generic model and writing analytics evaluations. ACM International Conference Proceeding Series, Ld, 210–219. https://doi.org/10.1145/3303772.3303785 | spa |
dcterms.references | Siemens, G. (2013). Learning Analytics: The Emergence of a Discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177/0002764213498851 | spa |
dcterms.references | Simanca, F. (2018). Sistema De Mejora Del Rendimiento Académico Mediante Learning Analytics. 272. | spa |
dcterms.references | Song, D. (2018). Learning Analytics as an Educational Research Approach. International Journal of Multiple Research Approaches, 10(1), 102–111. https://doi.org/10.29034/ijmra.v10n1a6 | spa |
dcterms.references | Torre, M. V., Tan, E., & Hauff, C. (2020). edX log data analysis made easy. 502–511. https://doi.org/10.1145/3375462.3375510 | spa |
dcterms.references | Verbert, K., Ochoa, X., De Croon, R., Dourado, R. A., & De Laet, T. (2020). Learning analytics dashboards: The past, the present and the future. ACM International Conference Proceeding Series, 35–40. https://doi.org/10.1145/3375462.3375504 | spa |
dcterms.references | Vesin, B., Mangaroska, K., & Giannakos, M. (2018). Learning in smart environments: user-centered design and analytics of an adaptive learning system. Smart Learning Environments, 5(1). https://doi.org/10.1186/s40561-018-0071-0 | spa |
dcterms.references | Vuorikari, R., Muñoz, J. C., Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., Rienties, B., & Ullmann, T. (2017). Las Analíticas de Aprendizaje: evidencias e investigación sobre su uso Implicaciones para la política y la práctica. Joint Research Centre Science for Policy Report, 2016, 0–32. https://doi.org/10.2791/955210. | spa |
dcterms.references | Yamada, K., TamuraMin, Konomi, L., Hatano, K., Inaba, M., OiTsuyoshi, M., Fumiya, O., Atsushi, O., Jingyun, S., Masanori, W., & Yuki, Y. (2019). Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 11577 LNCS. https://doi.org/10.1007/978-3-030-22580-3_26 | spa |
dcterms.references | Zhang, X., Tlili, A., Nascimbeni, F., Burgos, D., Huang, R., Chang, T. W., Jemni, M., & Khribi, M. K. (2020). Accessibility within open educational resources and practices for disabled learners: a systematic literature review. Smart Learning Environments, 7(1), 1–19. https://doi.org/10.1186/s40561-019-0113-2 | spa |
dspace.entity.type | Publication | |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
Archivos
Bloque original
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 14.48 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción: