Preventing Mega-Machines: Cultivating Hope in Education
- DOI
- 10.2991/978-2-494069-35-0_93How to use a DOI?
- Keywords
- Hope; Optimism; Positive Psychology; Educational Psychology
- Abstract
Telltales of a heavily industrialized, modern education system had been forecasted a century ago, as we are slowly approaching the Mega-Machines fabled in Lewis Mumford’s The Myth of the Machine from 1976. As we presently challenged with urgency on how to transform education from task-based to human-based one, ideas of education centralized on mankind’s positive values began flourishing since the end of 1900s. Recent paradigm from Psychology called Positive Psychology, promotes one answer: Hope. This paper would seek to investigate these answers and find their theoretical and practical basis through literature review. It is found that a human-based education should let its learner pursue meaningful learning through implementation of education centered on hope. By assimilating hopeful practices (learning, teaching, and social interaction), hope proves to not only become the theoretical basis of future education, but also educating humans to remember the importance of being a hopeful and optimistic human being.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rizqy Cahyo Utomo AU - A’yunin Akrimni Darojat PY - 2023 DA - 2023/01/17 TI - Preventing Mega-Machines: Cultivating Hope in Education BT - Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022) PB - Atlantis Press SP - 758 EP - 765 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-35-0_93 DO - 10.2991/978-2-494069-35-0_93 ID - Utomo2023 ER -