Information Management and Exponencial Learning in Society 5.0: Foundations For an Integrated System
DOI:
https://doi.org/10.34630/bobcatsss.vi.4973Keywords:
education data meaning, integrated system, know thyself, machine learning for education, Society 5.0Abstract
Individuals use information to reduce discomfort, effort and errors. Thinking about it, headphones were invented, so that the music could be heard without disturbing others; household appliances, to reduce the effort in washing dishes or clothes; and calculating machines, so that human distraction would not cause an accident in calculating the weight that a bridge could bear. But the information has hardly changed the certainties and doubts about which is the most suitable college course to attend; what are the best practices that could contribute to the individual's daily life, during the academic career, which includes when and what to study, what to eat and what to do in their free time. It is undeniable that there is greater access to information, but many times, instead of browsing this information, the individual sinks into it. In addition, teachers and students remain stuck in curriculum, with the same menu being provided for carnivores, vegetarians or lactose intolerants. If before students were beaten with rules in their hands and were attacked psychologically, having to learn the same as everyone else, nowadays only rules have ceased to exist, at least in theory. Reducing errors in choosing a higher education course and the entire life that governs the academic path can be a dream for many individuals and an integrative system that collects information about the individual and guides him in his academic path could be an extremely useful compass. Know which college course to take; knowing which discipline, among the electives, to choose; know the right time to get up and sleep; what to do throughout the day; what and when to eat; they are all informational outputs that the utopian system could provide, in order to contribute to the individual's success. This paper will attempt to discuss these issues, investigating part of the enabling technologies in today's Society 5.0. The objective is to initiate a debate on the delegation to an integrative system of data, information and knowledge management, the success of individuals and society.
References
Abdalla, A. (2012). Latyourlife: a geo-temporal task planning application. In Gartner G. & F. Ortag (Eds.), Advances in Location-Based Services (pp. 305-325). Springer. https://doi.org/10.1007/978- 3-642-24198-7_20
Anderson, A., Maystre, L., Mehrotra, R., Anderson, I., & Lalmas, M. (2020). Algorithmic Effects on the Diversity of Consumption on Spotify. In Y. Huang, I. King, T. Liu & M. van Steen (Eds.), WWW'20: Proceedings of The Web Conference 2020 (pp. 2155- 2165). Association for Computing Machinery. https://doi.org/10.1145/3366423.3380281
Ashford, S. J., & Cummings, L. L. (1983). Feedback as an individual resource: Personal strategies of creating information. In Organizational behavior and human performance, Vol. 32, (pp. 370-398). Elsevier. https://doi.org/10.1016/0030-5073(83)90156-3
Apple. (2020). Apple Store. Retrieved from https://www.apple.com/app-store/
Archer, S. N., & Oster, H. (2015). How sleep and wakefulness influence circadian rhythmicity: effects of insufficient and mistimed sleep on the animal and human transcriptome. In D. Dijk (Ed.), Journal of Sleep Research, 24, 476-493. https://doi.org/10.1111/jsr.12307
Au-Yong-Oliveira, M., Sousa, A., Silva, E., Lin, F., & Ferreira, I. (2020). Instagram, Facebook e YouTube: quem é mais eficaz na sua publicidade?. Revista Ibérica De Sistemas e Tecnologias De Informação, 34, 1-12.
Barati, M., Rana, O., Petri, I., & Theodorakopoulos, G. (2020). GDPR Compliance Verification in Internet of Things. In D. Abbott, IEEE Access. Vol. 8 (pp. 119697-119709). https://doi.org/10.1109/ACCESS.2020.3005509
Barreau, D. K. (1995). Context as a Factor in Personal Information Management Systems. In J. Mostafa (Ed.), Journal of the American Society for Information Science. Vol. 46 (pp. 327-339). Wiley. https://doi.org/10.1002/(SICI)1097-4571(199506)46:5<327::AID-ASI4>3.0.CO;2-C
Bledow, R., Carette, B., Kühnel, J., & Bister, D. (2017). Learning From Others’ Failures: The Effectiveness of Failure Stories for Managerial Learning. In W. M. Foster (Ed.), Academy of Management Learning & Education, Vol. 16 (pp. 39-53). https://doi.org/10.5465/amle.2014.0169
Bolson, J. B., Rodrigues, K., & Revello de Lima, M. R. (2020). O conhecimento para o mundo exponencial: As metodologias ativas na prática pedagógica. SCIAS - Educação, Comunicação e Tecnologia, 2(1), 6-22. https://doi.org/10.36704/sciaseducomtec.v2i1.4345
Brito, D. M., Almeida Júnior, I. A., Queiroga, E. V., & Rêgo, T. G. (2014). Predição de desempenho de alunos do primeiro período baseado nas notas de ingresso utilizando métodos de aprendizagem de máquina. 25º Simpósio Brasileiro de Informática na Educação [Symposium] (pp. 882-890). https://doi.org/10.5753/cbie.sbie.2014.882
Carmi, E. (2017). Regulating behaviours on the European Union internet, the case of spam versus cookies. In International Review of Law, Computers & Technology, Vol. 32 (pp. 289-307). https://doi.org/10.1080/13600869.2017.1304616
Castro, F., & Tedesco, P. (2020). Promovendo a Reflexão sobre o Erro em Disciplinas Introdutórias de Programação no Ensino Superior. Revista Brasileira de Informática na Educação, 28, 150-165. https://doi.org/10.5753/rbie.2020.28.0.150
Cíngulo. (2020). Cíngulo. Retrieved from https://www.cingulo.com/
Classen, C. (1999). Other Ways to Wisdom: Learning Through the Senses Across Cultures. In D. Atchoarena, S. A. Agbor, D. Baril, P. Bélanger, A. Benavot, & A. Tuijnman (Eds.), International Review of Education, Vol. 45 (pp. 269–280). Springer. https://doi.org/10.1023/A:1003894610869
Coo, I. F., van Oosterhout, W. P. J., Wilbrink, L. A., van Zwet, E. W., Ferrari, M. D., & Fronczek, R. (2019). Chronobiology and Sleep in Cluster Headache. In T. N. Ward (Ed.), Headache: The Journal of Head and Face Pain, Vol. 59 (pp. 1032-1041). https://doi.org/10.1111/head.13567
Cooper, P. (2017). Data, information, knowledge and wisdom. In N. Pace & M. Serpell (Eds.), Anaesthesia & Intensive Care Medicine, Vol. 18 (pp. 55-56). https://doi.org/10.1016/j.mpaic.2016.10.006
Coursera. (2020). Coursera. Retrieved from https://www.coursera.org/
Daylio. (2020). Daylio. Retrieved from https://daylio.net/
Decreto-Lei nº 74/2006 do Diário da República (2006). Diário da República: I-A série, n.º 60. Retrieved from https://dre.pt/web/guest/legislacao-consolidada/-/lc/122033591/202012051617/exportPdf/normal/1/cacheLevelPage?_LegislacaoConsolidada_WAR
_drefrontofficeportlet_rp=indice
Decreto-Lei nº 369/2007 do Ministério da Ciência, Tecnologia e Ensino Superior (2007). Diário da República: I série, n.º 212. Retrieved from https://dre.pt/application/file/a/629341
Doering, T. A. & Carmo, A. F. C. (2020). Inteligência Artificial e Internet das Coisas aplicada a Automação Residencial. ETIC - Encontro de Iniciação Científica, 16(16).
Doist (2020). Todoist. Retrieved from https://todoist.com/
Dong, X. L. (2005). A Platform for Personal Information Management and Integration. In Proceedings of VLDB 2005 PhD Workshop (pp. 26-30).
Evernote (2020). Evernote. Retrieved from https://evernote.com/intl/en/
Faria, C. M. (2020). Orientação Profissional no Contexto Escolar. BIUS-Boletim Informativo Unimotrisaúde em Sociogerontologia, 21(15), 1-14.
Farsen, T. C., Fiorini, M. C., & Bardagi, M. P. (2017). Análises psicométricas de instrumentos validados em diversos contextos: o caso da escala de adaptabilidade de carreira. Gerais: Revista Interinstitucional de Psicologia, 10(2), 162–175.
Fazekas, J., Jessop, A., Pine, J. & Rowland, C. (2020). Do children learn from their prediction mistakes? A registered report evaluating error-based theories of language acquisition. In J. Sanders (Ed.), Royal Society Open Science, (Vol. 7). Royal Society. https://doi.org/10.1098/rsos.180877
Froehlich, T. J. (2017). A Not-So Brief Account of Current Information Ethics: The Ethics of Ignorance, Missing Information, Misinformation, Disinformation and Other Forms of Deception or Incompetence. BiD: textos universitaris de biblioteconomia i documentació, (39). https://doi.org/10.1344/BiD2017.39.8
Fukuyama, M. (2018). Society 5.0: Aiming for a New Human-Centered Society. Japan SPOTLIGHT, 47-50.
Gomez-Uribe, C. A., & Hunt, N. (2015). The Netflix Recommender System: Algorithms, Business Value, and Innovation. ACM Transactions on Management Information Systems, 6(4), 1-19. https://doi.org/10.1145/2843948
Google. (2020a). Google Play Store. Retrieved from https://play.google.com/store
Google. (2020b). Google Calendar. Retrieved from https://calendar.google.com/calendar
Google (2020c). Questions Diary: One self-reflection question. Retrieved from https://play.google.com/store/apps/details?id=com.pione.questiondiary&hl=en_ US&gl=US
HabitBull (2014). HabitBull. Retrieved from http://www.habitbull.com/
Headspace. (2020). Headspace. Retrieved from https://www.headspace.com/
Hsu, F. M., Lin, Y. T., & Ho, T. K. (2012). Design and implementation of an inteligente recommendation system for tourist attractions: The integration of EBM model, Bayesian network and Google Maps. In B. Lin (Ed.), Expert Systems with Applications, Vol. 39 (pp. 3257-3264). Elsevier. https://doi.org/10.1016/j.eswa.2011.09.013
Intuit Mint. (2020). Mint. Retrieved from https://mint.intuit.com/
Kaur, B. (2012). Equity and social justice in teaching and teacher education. In H. Guðjónsdóttir & R. Kleinsasser (Co-Ed.) Teaching and Teacher Education, Vol. 28 (pp. 485-492). Elsevier. https://doi.org/10.1016/j.tate.2012.01.012
Kaushik, G., & Prakash, R. (2018). Collection of data through cookies and smart devices – A case study. International Journal of Advance Research, Ideas and Innovations in Technology, 4(5), 458- 461.
Koop, M., Tews, E., & Katzenbeisser, S. (2020). In-Depth Evaluation of Redirect Tracking and Link Usage. In R. Greenstadt, D. McCoy & C. Troncoso (Eds.), Proceedings on Privacy Enhancing Technologies, Vol. 2020 (pp. 394-413). https://doi.org/10.2478/popets-2020-0079
Lehmann, W. (2007). "I just didn't feel like I fit in": The role of habitus in university dropout decisions. Canadian Journal of Higher Education, 37(2), 89-110.
Lei nº 38/2007 da Assembleia da República (2007). Diário da República: I série, n.º 157. Retrieved from https://dre.pt/application/file/a/637086
Lei nº 38/1994 da Assembleia da República (1994). Diário da República: I série, n.º 269. Retrieved from https://dre.pt/application/file/a/550772
Marshall, L. (2014). O hiper-infinito. Rizoma, 2(2), 8-17.
Microsoft. (2020). Microsoft 365. Retrieved from https://www.microsoft.com/en-us/microsoft-365/products-apps- services
Mohamad, S. K., & Tasir, Z. (2013). Educational data mining: A review. In C. S. Teh, & H. Chae (Eds.), Procedia Social and Behavioral Sciences, Vol. 97 (pp. 320-324). Elsevier. https://doi.org/10.1016/j.sbspro.2013.10.240
MyFitnessPal. (2020). MyFitnessPal. Retrieved from https://www.myfitnesspal.com/
Nafea, I. T. (2018). Machine Learning in Educational Technology. In H. Farhadi (Ed.), Machine Learning-Advanced Techniques and Emerging Applications (pp. 175-183). IntechOpen. https://doi.org/10.5772/intechopen.72906
National Center for O*NET Development (2020). My Next Move. Retrieved from https://www.mynextmove.org/
Oladiran, A. (2012). Disciplining of student’s vis-à-vis the duties/responsibilities of vice principals in secondary institutions in Oyo State: Yesterday and today. Educational Research and Reviews, 7(8), 192-195.
Organizze (2020). Organizze. Retrieved from https://www.organizze.com.br/
Pacheco, J. & Pacheco, M. F. (2015). Escola da Ponte: uma escola pública em debate. Cortez Editora.
Pereira, C. A., Araújo, J. F. F. E., & Machado-Taylor, M. L. (2015). Acreditação do ensino superior nos países lusófonos: reflexões e práticas em Portugal e Brasil. Conhecimento & Diversidade, 7(13), 28-39.
Pereira, P. J. A., Pedrosa, I. M. M. & Bernardino, J. (2015). A Escolha de um Curso Superior: Um ranking pessoal. In A. P. Costa, L. P. G. Reis, P. V. L. Cravo, A. C. B. Delbem & C. J. Coelho (Eds.), Fronteiras: Journal of Social, Technological and Environmental Science, 4(3), 64-80. https://doi.org/10.21664/2238-8869.2015v4i3.p64-80
Praveena, M., & Jaiganesh, V. (2017). A Literature Review on Supervised Machine Learning Algorithms and Boosting Process. International Journal of Computer Applications, 169(8), 32-35. https://doi.org/10.5120/ijca2017914816
Razmerita, L., Kirchner, K., & Sudzina, F. (2009). Personal knowledge management: The role of Web2.0 tools for managing knowledge at individual and organisational levels. Online Information Review, 33(6), 1021-1039. https://doi.org/10.1108/14684520911010981
Ríos Flórez, J. A., López Gutiérrez, C. R., & Escudero Corrales, C. (2019). Cronobiología del sueño y su influencia en la función cerebral. Cuadernos de Neuropsicolo gía / Panamerican Journal of Neuropsychology, 13(1), 12-33.
Rocha, T., Souto, E., & El-Khatib, K. (2020). Functionality based mobile application recommendation system with security and privacy awareness. In E. H. Spafford (Ed.), Computers & Security, Vol. 97. Elsevier. https://doi.org/10.1016/j.cose.2020.101972
Rolim, V. B., Mello, R. F. L., & Costa, E. B. (2017). Utilização de Técnicas de Aprendizado de Máquina para Acompanhamento de Fóruns Educacionais. Revista Brasileira de Informática na Educação, 25(3), 112-130. https://doi.org/10.5753/rbie.2017.25.03.112
Saborido, R., Khomh, F., Hindle, A., & Alba, E. (2018). An app performance optimization advisor for mobile device app marketplaces. In B. Shirazi (Ed.), Sustainable Computing: Informatics and Systems, Vol. 19 (pp.29–42). Elsevier. https://doi.org/10.1016/j.suscom.2018.05.008
Santos, M. C. F., & Monteiro, S. D. (2016). Interfaces como metacomunicação: contribuição da engenharia semiótica na representação no ciberespaço. Informação & Informação, 21(1), 80-102. https://doi.org/10.5433/1981-8920.2016v21n1p80
Saunders, L., Kurbanoglu, S., Boustany, J., Dogan, G., Becker, P., ... & Todorova, T. (2015). Information behaviors and information literacy skills of LIS students: an international perspective. In Journal of Education for Library and Information Science, Vol. 56 (pp. 80-99). Association for Library and Information Science Education (ALISE).
Senders, J. W., & Moray, N. P. (2020). Human error: Cause, prediction, and reduction. CRC Press.
Serrano, P. H. S. M., & Baldanza, R. F. (2017). Tecnologias disruptivas: o caso do Uber. Revista Pensamento Contemporâneo em Administração, 11(5), 37-48. https://www.redalyc.org/articulo.oa?id=441753779011.
Shallenberger, D. (2015). Learning from Our Mistakes: International Educators Reflect. Frontiers: The Interdisciplinary Journal of Study Abroad, 26(1), 248-263. https://doi.org/10.36366/frontiers.v26i1.369
Sharma, D., & Kumar, N. (2017). A Review on Machine Learning Algorithms, Tasks and Applications. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 6(10), 1548-1552.
Sigiliano, D., & Faustino, E. (2016). NETFLIX: Sistemas de Recomendação Inteligentes. Revista Tecer, 9(16), 13-26.
Silva, C. M., & Ribeiro, C. P. (2018). A apropriação do espaço escolar pelo projeto pedagógico: o caso da Escola da Ponte (Portugal). In Educação e Pesquisa (Vol. 44). https://doi.org/10.1590/s1678-4634201844183443
Singh, S., Srivastav, U., Labroo, R., & Jain, Y. (2020). UNSCHOOLED.COM-Education for all. Journal of Xi'an University of Architecture & Technology, 12(4), 3887-3892.
Smith, B., & Linden, G. (2017). Two decades of recommender systems at Amazon.com. In G. Pallis (Ed.), IEEE Internet Computing, Vol. 21 (pp. 12-18). IEEE. https://doi.org/10.1109/MIC.2017.72
Souza, D., Schubert-Backes, V. M., & Delacanal-Lazzari, D. (2017). Posibilidades en la educación en enfermería: errar, crear y arriesgar. In Enfermería universitaria, Vol. 14 (no. 2, pp. 79-87). ENED. https://doi.org/10.1016/j.reu.2017.02.005
Strava. (2020). Strava. Retrieved from https://www.strava.com/
Swann, W. B., & Read, S. J. (1981). Acquiring self-knowledge: The search for feedback that fits. Journal of Personality and Social Psychology, 41(6), 1119–1128. https://doi.org/10.1037/0022- 3514.41.6.1119
The Myers-Briggs Company (2020). MBTI. Retrieved from https://www.mbtionline.com/en-US
Tubbs, N. (2016). Epistemology as education: Know thyself. In A. Stables, Education Sciences, Vol. 6. https://doi.org/10.3390/educsci6040041
Uline, C. L (1996). Knowledge in the information age: Effortless communication and the effort of reflective thought. In Educational Technology, Vol. 36 (no. 5, pp. 29-32).
Valtonen, T., Tedre, M., Mäkitalo, K., & Vartiainen, H. (2019). Media Literacy Education in the Age of Machine Learning. In M. Ranieri & E. Friesem, Journal of Media Literacy Education, Vol. 11 (pp. 20-36). Association for Library and Information Science Education (ALISE). https://doi.org/10.23860/JMLE-2019-11-2-2
Wajcman, J. (2019). The Digital Architecture of Time Management. Science, Technology, & Human Values, 44(2), 315-337. https://doi.org/10.1177/0162243918795041
Wiig, K. M. (1997). Knowledge management: an introduction and perspective. In Journal of Knowledge Management, Vol. 1 (no. 1, pp. 6-14). Emerald Group Publishing Limited.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.