Society, History and Education: dialogues from a disciplinary perspective
We are pleased to present to the entire academic community and the general public the following work, which contains recent research results of a group of teachers from the Faculty of Educational Sciences in areas such as pedagogy, communication, technology and history. This publication is the resul...
- Autores:
-
Guilleumas García, Rosa María
Gil Ramírez, Hernan
Gutiérrez Giraldo, Martha Cecilia
Franco Ossa, Carolina
Guarín Medina, Johana
Agudelo Vergara, Andrés Camilo
Martínez Botero, Sebastian
Betancourt Mendieta, Alexander
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Pereira
- Repositorio:
- Repositorio Institucional UTP
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utp.edu.co:11059/14700
- Acceso en línea:
- https://hdl.handle.net/11059/14700
https://repositorio.utp.edu.co/home
- Palabra clave:
- 370 - Educación
Sociología de la educación
Antropología cultural
Politica educativa
Politica social
Educación comparada
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Society, History and Education: dialogues from a disciplinary perspective |
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Society, History and Education: dialogues from a disciplinary perspective |
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Society, History and Education: dialogues from a disciplinary perspective 370 - Educación Sociología de la educación Antropología cultural Politica educativa Politica social Educación comparada |
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Society, History and Education: dialogues from a disciplinary perspective |
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Society, History and Education: dialogues from a disciplinary perspective |
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Society, History and Education: dialogues from a disciplinary perspective |
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Society, History and Education: dialogues from a disciplinary perspective |
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Guilleumas García, Rosa María Gil Ramírez, Hernan Gutiérrez Giraldo, Martha Cecilia Franco Ossa, Carolina Guarín Medina, Johana Agudelo Vergara, Andrés Camilo Martínez Botero, Sebastian Betancourt Mendieta, Alexander |
| dc.contributor.author.none.fl_str_mv |
Guilleumas García, Rosa María Gil Ramírez, Hernan Gutiérrez Giraldo, Martha Cecilia Franco Ossa, Carolina Guarín Medina, Johana Agudelo Vergara, Andrés Camilo Martínez Botero, Sebastian Betancourt Mendieta, Alexander |
| dc.subject.ddc.none.fl_str_mv |
370 - Educación |
| topic |
370 - Educación Sociología de la educación Antropología cultural Politica educativa Politica social Educación comparada |
| dc.subject.lemb.none.fl_str_mv |
Sociología de la educación Antropología cultural Politica educativa Politica social Educación comparada |
| description |
We are pleased to present to the entire academic community and the general public the following work, which contains recent research results of a group of teachers from the Faculty of Educational Sciences in areas such as pedagogy, communication, technology and history. This publication is the result of the work coordinated by the Vice Rector's Office for Research, Innovation and Extension of the UTP, with the support of the Faculty of Education Sciences, through the realization of the First Conference on Social Appropriation of Knowledge held in 2022, in order to reach a wider field of dissemination of local research. In the first chapter "Sentiment analysis on Twitter about mobile learning" by professors Rosa María Guilleumas García and Hernán Gil Ramírez, a study of tweets about mobile learning is presented. To do so, the authors combined several techniques of social network analysis, text mining and sentiment analysis, using NodeXL software, specialized in network examination and visualization. Among their results, they highlight the great predominance of positive tweets over negative ones in this field of study, and at the same time point out that, in the analyzed tweets, the most used words were learning, mobile, app, machine, mlearning and education. In second place, there is the chapter "The institutional educational project. An opportunity for reflection and transformation of the Colombian university" by teachers Martha Cecilia Gutiérrez Giraldo and Carolina Franco Ossa, which arises from the reflection on university autonomy and its internal exercise in the construction of its Institutional Educational Projects (PEI). Thus, the main purpose of this work is to identify the relevant facts that have marked the academic life of the UTP since its creation in 1958 until 2015, in which the different strata of the university community (teachers, students, administrators, managers, graduates and the social sector) participated through a participatory action research process. The results show that since its creation, the University has updated its academic and management policies in accordance with the regulations in force in each period, and that, at the same time, as mentioned by the authors, the institutional processes of self-reflection and projection of the academic life of the UTP should be strengthened through the culture of academic and democratic participation, supported by the collaborative work of the university community |
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2022 |
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2023-06-09T20:06:56Z |
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eng |
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Trabajos de investigación |
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Barabási, A. L. (2016). Degree Distributions. En A. L. Barabási, Network Science (pp. 65-80). http://networksciencebook.com/chapter/4 Budiono D.F., Nugroho A.S., Doewes A. (2017, October 23rd to 26th ). Twitter sentiment analysis of DKI Jakarta's gubernatorial election 2017 with predictive and descriptive approaches [Conference]. International Conference on Computer, Control, Informatics and Its Applications (IC3INA), Jakarta, Indonesia. http://dx.doi.org/10.1109/IC3INA.2017.8251746 Buzzelli, A., Holdan, E. G., Rota, D., & McCarthy, J. (2016). Utilizing Twitter for concept learning. International Journal of Information and Communication Technology Education, 12(1), 88-100. http://dx.doi.org/10.4018/IJICTE.2016010106 Cerchiello, P., & Giudici, P. (2016). How to measure the quality of financial tweets. Quality & Quantity, 50(2), 1695–1713. http://dx.doi.org/10.1007/s11135-015-0229-6 Ceron, A., Curini, L., & Iacus, S. M. (2015). Using Sentiment Analysis to Monitor Electoral Campaigns: Method Matters—Evidence From the United States and Italy. Social Science Computer Review, 33(1), 3–20. https://doi.org/10.1177/0894439314521983 Cerón-Guzmán, J. A., & León-Guzmán, E. (2016, October 8th to 10th). A sentiment analysis system of Spanish tweets and its application in Colombia 2014 presidential election [Conference]. 2016 IEEE International Conference on Big Data, Cloud Computing, and Social Computing (BDCloud-SocialCom-SustainCom), Atlanta, GA, EE. UU. https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.47 Chong, M. (2016). Sentiment analysis and topic extraction of the Twitter network of #prayforparis. Practicing Anthropology, 53(4), 1-4. https://doi.org/10.1002/pra2.2016.14505301133 Criado, J. I., y Villodre, J. (2018). Comunicando datos masivos del sector público local en redes sociales. Análisis de sentimiento en Twitter. Profesional De La información, 27(3), 624– 632. https://doi.org/10.3145/epi.2018.may.14 Dudas, P. M., Weirman, S., & Griffin, C. (2017, november 1st to 3rd). Little data, big stories: Taking the pulse of large-scaled events on Twitter [Conference]. IEEE Conference on Computational Intelligence in Communication Networks (CICN), Dallas, TX, USA. http://dx.doi.org/10.1109/CIC.2016.071 Eliacik, A. B., & Erdogan, N. (2015, november 1st to 3rd). User-weighted sentiment analysis for financial community on Twitter [Conference]. Innovations in Intelligent Systems and Applications Conference, Barcelona, Spain. http://dx.doi.org/10.1109/INNOVATIONS.2015.7381513 Gil, H., y Guilleumas, R.M. (2017). Redes de comunicación de profesores en Twitter. Editorial UTP Gul S., Shah T.A., Ahad M., Mubashir M., Ahmad S., Gul M., Sheikh S. (2018). Twitter sentiments related to natural calamities Analysing tweets related to the Jammu and Kashmir floods of 2014, The Electronic Library, 36(1), 38–54. http://dx.doi.org/10.1108/EL-12-2015-0244 anneman, R. A., & Riddle, M. (2005). Centrality and power. In Introduction to social network methods (pp. 49-56). University of California. http://faculty.ucr.edu/~hanneman/nettext/C10_Centrality.html Hornikx, J., & Hendriks, B. (2015). Consumer Tweets about Brands: A Content Analysis of Sentiment Tweets about Goods and Services. Journal of Creative Communications, 10(2), 176–185. https://doi.org/10.1177/0973258615597406 IBM. (2012). About Text Mining. https://www.ibm.com/support/knowledgecenter/es/SS3RA7_16.0.0/com.ibm.spss.ta.help/t extmining/shared_entities/tm_intro_tm_defined.htm Itelligent. (2017). Análisis de sentimiento, ¿qué es, cómo funciona y para qué sirve? http://www.itelligent.es/es/analisis-de-sentimiento/ Ji, X., Chun, S.A., Wei, Z., & Geller, J. (2015). Twitter sentiment classification for measuring public health concerns. Social Network Analysis and Mining, 5 (13), 1-25. https://doi.org/10.1007/s13278-015-0253-5 Kim, E. H.-J., Jeong, Y. K., Kim, Y., Kang, K. Y., & Song, M. (2016). Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news. Journal of Information Science, 42(6), 763–781. https://doi.org/10.1177/0165551515608733 Lijo, VP & Seetha, H. (2017). Text-based sentiment analysis: review. International Journal of Knowledge and Learning, 12(1), 1-26. http://dx.doi.org/10.1504/IJKL.2017.10009108 Liu, B., & Hu, M. (2004). Opinion mining, sentiment analysis, and opinion spam detection. Opinion Mining, Sentiment Analysis, Opinion Extraction (uic.edu) Meneses, M., Martín-del-Campo, A., y Rueda-Zárate, H. (2018). #TrumpenMexico. Transnational connective action on Twitter and the border wall dispute. [#TrumpenMéxico. Acción conectiva transnacional en Twitter y la disputa por el muro fronterizo]. Comunicar, 55, 39- 48. https://doi.org/10.3916/C55-2018-04 Mishra, P., Rajnish, R., & Kumar, P. N. (2016, October 6th to 7th). Sentiment analysis of Twitter data: Case study on digital India [Conference]. 2016 International Conference on Information Technology (INCITE), Noida, India. https://doi.org/10.1109/INCITE.2016.7857607 Öztürk, N., & Ayvaz, S. (2018). Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis. Telematics and Informatics, 35(1), 136-147. https://doi.org/10.1016/j.tele.2017.10.006. Paltoglou, G. (2016). Sentiment-based event detection in Twitter. Journal of the Association for Information Science and Technology, 67(7), 1576-1587. https://doi.org/10.1002/asi.23465 Peng, Y., Moh, M., & Moh, T.-S. (2016, august 18th to 21st ). Efficient adverse drug event extraction using Twitter sentiment analysis [Conference]. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, USA. https://doi.org/10.1109/ASONAM.2016.7752365 Shen, C.- wen, Kuo, C.-J., & Minh Ly, P. T. (2017). Analysis of Social Media Influencers and Trends on Online and Mobile Learning. The International Review of Research in Open and Distributed Learning, 18(1). https://doi.org/10.19173/irrodl.v18i1.264 Suresh, K., & Ramakrishnan, C. (2015). Twittering Public Sentiments: A Predictive Analysis of Pre-Poll Twitter Popularity of Prime Ministerial Candidates for the Indian Elections 2014. Media Watch, 6(2), 238-254. https://doi.org/10.15655/mw/2015/v6i2/65670 UNESCO (2012). Activando el aprendizaje móvil en américa latina. Iniciativas ilustrativas e implicaciones políticas. http://unesdoc.unesco.org/images/0021/002160/216080s.pdf Velázquez, A. y Aguilar, N. (2005). Manual introductorio al análisis de redes sociales. http://revista-redes.rediris.es/webredes/talleres/Manual_ARS.pdf |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)Manifiesto (Manifestamos) en este documento la voluntad de autorizar a la Biblioteca Jorge Roa Martínez de la Universidad Tecnológica de Pereira la publicación en el Repositorio institucional (http://biblioteca.utp.edu.co), la versión electrónica de la OBRA titulada: ________________________________________________________________________________________________ ________________________________________________________________________________________________ ________________________________________________________________________________________________ La Universidad Tecnológica de Pereira, entidad académica sin ánimo de lucro, queda por lo tanto facultada para ejercer plenamente la autorización anteriormente descrita en su actividad ordinaria de investigación, docencia y publicación. La autorización otorgada se ajusta a lo que establece la Ley 23 de 1982. Con todo, en mi (nuestra) condición de autor (es) me (nos) reservo (reservamos) los derechos morales de la OBRA antes citada con arreglo al artículo 30 dehttps://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessGuilleumas García, Rosa MaríaGil Ramírez, HernanGutiérrez Giraldo, Martha CeciliaFranco Ossa, CarolinaGuarín Medina, JohanaAgudelo Vergara, Andrés CamiloMartínez Botero, SebastianBetancourt Mendieta, Alexander2023-06-09T20:06:56Z2023-06-09T20:06:56Z2022https://hdl.handle.net/11059/14700978-958-722-827-4Universidad Tecnológica de PereiraRepositorio Institucional Universidad Tecnológica de Pereirahttps://repositorio.utp.edu.co/homeWe are pleased to present to the entire academic community and the general public the following work, which contains recent research results of a group of teachers from the Faculty of Educational Sciences in areas such as pedagogy, communication, technology and history. This publication is the result of the work coordinated by the Vice Rector's Office for Research, Innovation and Extension of the UTP, with the support of the Faculty of Education Sciences, through the realization of the First Conference on Social Appropriation of Knowledge held in 2022, in order to reach a wider field of dissemination of local research. In the first chapter "Sentiment analysis on Twitter about mobile learning" by professors Rosa María Guilleumas García and Hernán Gil Ramírez, a study of tweets about mobile learning is presented. To do so, the authors combined several techniques of social network analysis, text mining and sentiment analysis, using NodeXL software, specialized in network examination and visualization. Among their results, they highlight the great predominance of positive tweets over negative ones in this field of study, and at the same time point out that, in the analyzed tweets, the most used words were learning, mobile, app, machine, mlearning and education. In second place, there is the chapter "The institutional educational project. An opportunity for reflection and transformation of the Colombian university" by teachers Martha Cecilia Gutiérrez Giraldo and Carolina Franco Ossa, which arises from the reflection on university autonomy and its internal exercise in the construction of its Institutional Educational Projects (PEI). Thus, the main purpose of this work is to identify the relevant facts that have marked the academic life of the UTP since its creation in 1958 until 2015, in which the different strata of the university community (teachers, students, administrators, managers, graduates and the social sector) participated through a participatory action research process. The results show that since its creation, the University has updated its academic and management policies in accordance with the regulations in force in each period, and that, at the same time, as mentioned by the authors, the institutional processes of self-reflection and projection of the academic life of the UTP should be strengthened through the culture of academic and democratic participation, supported by the collaborative work of the university communityCONTENT Presentation...................................................................................................................5 CHAPTER ONE Twitter sentiment analysis on mobile learning ...............................................................9 Rosa María Guilleumas García y Hernán Gil Ramírez CHAPTER TWO The institutional educational project. an opportunity for reflection and transformation of the Colombian university.................................................................37 Martha Cecilia Gutiérrez Giraldo y Carolina Franco Ossa CHAPTER THREE The Ridway´s photographies: typologies of portraiture in Pereira, Colombia .............59 Johana Guarín Medina CHAPTER FOUR Information society. Political disputes and disciplinary openings................................91 Andrés Camilo Agudelo Vergara CHAPTER FIVE State and internal borders in the 19th century: the Quindío mountain in central western Colombia .......................................................................12161 Páginasapplication/pdfengUniversidad Tecnológica de PereiraPereiraTrabajos de investigaciónBarabási, A. L. (2016). Degree Distributions. En A. L. Barabási, Network Science (pp. 65-80). http://networksciencebook.com/chapter/4Budiono D.F., Nugroho A.S., Doewes A. (2017, October 23rd to 26th ). Twitter sentiment analysis of DKI Jakarta's gubernatorial election 2017 with predictive and descriptive approaches [Conference]. International Conference on Computer, Control, Informatics and Its Applications (IC3INA), Jakarta, Indonesia. http://dx.doi.org/10.1109/IC3INA.2017.8251746Buzzelli, A., Holdan, E. G., Rota, D., & McCarthy, J. (2016). Utilizing Twitter for concept learning. International Journal of Information and Communication Technology Education, 12(1), 88-100. http://dx.doi.org/10.4018/IJICTE.2016010106Cerchiello, P., & Giudici, P. (2016). How to measure the quality of financial tweets. Quality & Quantity, 50(2), 1695–1713. http://dx.doi.org/10.1007/s11135-015-0229-6Ceron, A., Curini, L., & Iacus, S. M. (2015). Using Sentiment Analysis to Monitor Electoral Campaigns: Method Matters—Evidence From the United States and Italy. Social Science Computer Review, 33(1), 3–20. https://doi.org/10.1177/0894439314521983Cerón-Guzmán, J. A., & León-Guzmán, E. (2016, October 8th to 10th). A sentiment analysis system of Spanish tweets and its application in Colombia 2014 presidential election [Conference]. 2016 IEEE International Conference on Big Data, Cloud Computing, and Social Computing (BDCloud-SocialCom-SustainCom), Atlanta, GA, EE. UU. https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.47Chong, M. (2016). Sentiment analysis and topic extraction of the Twitter network of #prayforparis. Practicing Anthropology, 53(4), 1-4. https://doi.org/10.1002/pra2.2016.14505301133Criado, J. I., y Villodre, J. (2018). Comunicando datos masivos del sector público local en redes sociales. Análisis de sentimiento en Twitter. Profesional De La información, 27(3), 624– 632. https://doi.org/10.3145/epi.2018.may.14Dudas, P. M., Weirman, S., & Griffin, C. (2017, november 1st to 3rd). Little data, big stories: Taking the pulse of large-scaled events on Twitter [Conference]. IEEE Conference on Computational Intelligence in Communication Networks (CICN), Dallas, TX, USA. http://dx.doi.org/10.1109/CIC.2016.071Eliacik, A. B., & Erdogan, N. (2015, november 1st to 3rd). User-weighted sentiment analysis for financial community on Twitter [Conference]. Innovations in Intelligent Systems and Applications Conference, Barcelona, Spain. http://dx.doi.org/10.1109/INNOVATIONS.2015.7381513Gil, H., y Guilleumas, R.M. (2017). Redes de comunicación de profesores en Twitter. Editorial UTPGul S., Shah T.A., Ahad M., Mubashir M., Ahmad S., Gul M., Sheikh S. (2018). Twitter sentiments related to natural calamities Analysing tweets related to the Jammu and Kashmir floods of 2014, The Electronic Library, 36(1), 38–54. http://dx.doi.org/10.1108/EL-12-2015-0244anneman, R. A., & Riddle, M. (2005). Centrality and power. In Introduction to social network methods (pp. 49-56). University of California. http://faculty.ucr.edu/~hanneman/nettext/C10_Centrality.htmlHornikx, J., & Hendriks, B. (2015). Consumer Tweets about Brands: A Content Analysis of Sentiment Tweets about Goods and Services. Journal of Creative Communications, 10(2), 176–185. https://doi.org/10.1177/0973258615597406IBM. (2012). About Text Mining. https://www.ibm.com/support/knowledgecenter/es/SS3RA7_16.0.0/com.ibm.spss.ta.help/t extmining/shared_entities/tm_intro_tm_defined.htmItelligent. (2017). Análisis de sentimiento, ¿qué es, cómo funciona y para qué sirve? http://www.itelligent.es/es/analisis-de-sentimiento/Ji, X., Chun, S.A., Wei, Z., & Geller, J. (2015). Twitter sentiment classification for measuring public health concerns. Social Network Analysis and Mining, 5 (13), 1-25. https://doi.org/10.1007/s13278-015-0253-5Kim, E. H.-J., Jeong, Y. K., Kim, Y., Kang, K. Y., & Song, M. (2016). Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news. Journal of Information Science, 42(6), 763–781. https://doi.org/10.1177/0165551515608733Lijo, VP & Seetha, H. (2017). Text-based sentiment analysis: review. International Journal of Knowledge and Learning, 12(1), 1-26. http://dx.doi.org/10.1504/IJKL.2017.10009108Liu, B., & Hu, M. (2004). Opinion mining, sentiment analysis, and opinion spam detection. Opinion Mining, Sentiment Analysis, Opinion Extraction (uic.edu)Meneses, M., Martín-del-Campo, A., y Rueda-Zárate, H. (2018). #TrumpenMexico. Transnational connective action on Twitter and the border wall dispute. [#TrumpenMéxico. Acción conectiva transnacional en Twitter y la disputa por el muro fronterizo]. Comunicar, 55, 39- 48. https://doi.org/10.3916/C55-2018-04Mishra, P., Rajnish, R., & Kumar, P. N. (2016, October 6th to 7th). Sentiment analysis of Twitter data: Case study on digital India [Conference]. 2016 International Conference on Information Technology (INCITE), Noida, India. https://doi.org/10.1109/INCITE.2016.7857607Öztürk, N., & Ayvaz, S. (2018). Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis. Telematics and Informatics, 35(1), 136-147. https://doi.org/10.1016/j.tele.2017.10.006.Paltoglou, G. (2016). Sentiment-based event detection in Twitter. Journal of the Association for Information Science and Technology, 67(7), 1576-1587. https://doi.org/10.1002/asi.23465Peng, Y., Moh, M., & Moh, T.-S. (2016, august 18th to 21st ). Efficient adverse drug event extraction using Twitter sentiment analysis [Conference]. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, USA. https://doi.org/10.1109/ASONAM.2016.7752365Shen, C.- wen, Kuo, C.-J., & Minh Ly, P. T. (2017). Analysis of Social Media Influencers and Trends on Online and Mobile Learning. The International Review of Research in Open and Distributed Learning, 18(1). https://doi.org/10.19173/irrodl.v18i1.264Suresh, K., & Ramakrishnan, C. (2015). Twittering Public Sentiments: A Predictive Analysis of Pre-Poll Twitter Popularity of Prime Ministerial Candidates for the Indian Elections 2014. Media Watch, 6(2), 238-254. https://doi.org/10.15655/mw/2015/v6i2/65670UNESCO (2012). Activando el aprendizaje móvil en américa latina. Iniciativas ilustrativas e implicaciones políticas. http://unesdoc.unesco.org/images/0021/002160/216080s.pdfVelázquez, A. y Aguilar, N. (2005). Manual introductorio al análisis de redes sociales. http://revista-redes.rediris.es/webredes/talleres/Manual_ARS.pdf370 - EducaciónSociología de la educaciónAntropología culturalPolitica educativaPolitica socialEducación comparadaSociety, History and Education: dialogues from a disciplinary perspectiveLibroinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_2f33Textinfo:eu-repo/semantics/bookPublicationORIGINALSociety, History and Education.pdfSociety, History and Education.pdfapplication/pdf7338835https://dspace7-utp.metabuscador.org/bitstreams/a7d9b4ac-a389-4e6f-87c7-142a7501c55c/downloadfa99a5463481e69e8e3c94b9a4b08e64MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://dspace7-utp.metabuscador.org/bitstreams/814c0ed6-5354-49ad-9512-5ac34ab476d8/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTSociety, History and Education.pdf.txtSociety, History and Education.pdf.txtExtracted texttext/plain307241https://dspace7-utp.metabuscador.org/bitstreams/44923a78-0e0e-4d47-b6c6-960599547c52/download5bb740a9f0ede58c44f9934601851b04MD53THUMBNAILSociety, History and Education.pdf.jpgSociety, History and Education.pdf.jpgGenerated Thumbnailimage/jpeg6944https://dspace7-utp.metabuscador.org/bitstreams/13715aac-20c7-4705-b08f-46c99371205a/download71167d4edbbafdebed870069df9aa6c6MD5411059/14700oai:dspace7-utp.metabuscador.org:11059/147002024-09-05 16:46:01.356https://creativecommons.org/licenses/by-nc-nd/4.0/Manifiesto (Manifestamos) en este documento la voluntad de autorizar a la Biblioteca Jorge Roa Martínez de la Universidad Tecnológica de Pereira la publicación en el Repositorio institucional (http://biblioteca.utp.edu.co), la versión electrónica de la OBRA titulada: ________________________________________________________________________________________________ ________________________________________________________________________________________________ ________________________________________________________________________________________________ La Universidad Tecnológica de Pereira, entidad académica sin ánimo de lucro, queda por lo tanto facultada para ejercer plenamente la autorización anteriormente descrita en su actividad ordinaria de investigación, docencia y publicación. 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Con todo, en mi (nuestra) condición de autor (es) me (nos) reservo (reservamos) los derechos morales de la OBRA antes citada con arreglo al artículo 30 deopen.accesshttps://dspace7-utp.metabuscador.orgRepositorio de la Universidad Tecnológica de 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