Logic in Tamil Didactic Literature

Author(s):  
Thanga Jayaraman
Keyword(s):  
Author(s):  
Galina P. Dondukova ◽  
◽  
Erdeni P. Dmitriev

The aim of this article is to analyze one of the most outstanding works of Buryat didactic literature – The Mirror of Wisdom by Erdeni Khaibzun Galshiev (1855 – 26 June (9 July) 1915) and to identify the Buddhist ecological values in it. We argue that in the modern context of global environmental awareness as well as local ecological problems in the Baikal region, Russia, The Mirror of Wisdom, and its described practices for laymen have become extremely significant and can serve as the guideline for sustainable living. We start with the overview of the historical background of Buddhism on the territory of the republic of Buryatia, Russia, go on with the general structure of The Mirror of Wisdom by Erdeni Galshiev, and proceed to the analysis of ecological values, such as non-harming to other creatures, the law of karma, non-attachment, and so on. The analysis shows that although written a century ago and not aimed initially to bring together the inter-related issues of population, consumption and the environment, The Mirror of Wisdom suggests certain conclusions concerning these issues and can contribute to ecological sustainability as well as economic and social justice.


Author(s):  
Seied Mohammad Bagher Kamaladdini

Masnavi Khold-e-Barin is one of letters that educate people moral courses in different ways. Vahshi Bafghi by using his special technique, compose a word full of advice and using the different metaphor sings helps to understanding of good and bad issues in life. He expresses ethical messages in two ways, the theme of novel and direct expression. This paper tries to evaluate the Place of the educational literature in Vahshi Bafghi's Khold-e-Barin; the author shows aspects and features of didactic literature using content analysis in Khold-e-Barin. Issues such as the avoidance of envy, greed, worldly and other worldly courses, advice and the moral results of tales, praised of the knowledge and awareness, chastity word of poet, give didactic Ethics and Spirituality atmosphere to this letter. In this research, didactic poems in two sections of “sermon – ethical” and “Education – Spiritual” have been studied.


2021 ◽  
Vol 122 ◽  
pp. 04002
Author(s):  
Irina Alexandrovna Povarenkina ◽  
Natalia Hidarovna Frolova ◽  
Yulia Vladimirovna Chicherina

The transition to an individually-oriented educational paradigm and the freedom to choose individual learning trajectories leads to the underestimation of students’ teamwork and group dynamics. The study addresses current issues in the implementation of team-building methods and technologies that have not been adequately addressed in the scientific didactic literature. Since at the present stage of its development society faces the need for specialists who able to positively and effectively adapt and interact in a work team, propose constructive ideas, and work in teams, more broad and diverse use of group forms of learning in the higher education system is needed. The article discloses the specifics of the group approach to education. Teamwork contributes to the development of personal and social and group growth and self-realization and strengthens value orientations in the formation of a humanistic worldview which, in turn, is aimed at the sustainable development of society. Such competencies include team competencies that involve the ability to solve interdisciplinary problems. The formation and development of such competencies take place in the context of teamwork. In the context of group dynamics, a student is responsible for reaching their own goals and shares the responsibility for achieving the goals of the team. A student team, in turn, is an environment where each of its members grows professionally and develops personally according to their individual trajectory of success. Theoretical analysis of group development and experimental education prove the effectiveness of group work. Group dynamics provide students with the opportunity not only to be creative but also to create a positive atmosphere and team spirit in the group.


Author(s):  
Jacqueline I. Stone

Behind the idealized imagery of purple clouds, divine music, and the Buddha’s welcoming descent lurked the fears that one’s last moments might not go as hoped. Deathbed ritual manuals and didactic literature warn that correct mental focus at the end might be threatened by excruciating pain, loss of consciousness, or demonic attack. Tales of failed ascetic suicide stress the danger of worldly attachment at the time of death. Bad deaths also had social consequences, whether for surviving relatives who worried about their loved ones’ postmortem fate or disciples whose teacher’s inelegant death might compromise the reputation of their lineage. Evidence suggest that people dealt with anxiety about their own manner of death by adopting advance measures to enhance the likelihood of meeting their last moments in a proper state of mind. These included prayer, prognostication, death rehearsals, and massive, quantifiable acts of merit accumulation, such as chanting a million nenbutsu.


2021 ◽  
pp. 1-12
Author(s):  
Anita Ramalingam ◽  
Subalalitha Chinnaudayar Navaneethakrishnan

Thirukkural, a Tamil classic literature, which was written in 300 BCE is a didactic literature. Though Thirukkural comprises 1330 couplets which are organized into three sections and 133 chapters, in order to retrieve meaningful Thirukkural for a given query in search systems, a better organization of the Thirukkural is needed. This paper lays such a foundation by classifying the Thirukkural into ten new categories called superclasses that is helpful for building a better Information Retrieval (IR) system. The classifier is trained using Multinomial Naïve Bayes algorithm. Each superclass is further classified into two subcategories based on the didactic information. The proposed classification framework is evaluated using precision, recall and F-score metrics and achieved an overall F-score of 82.33% and a comparison analysis has been done with the Support Vector Machine, Logistic Regression and Random Forest algorithms. An IR system is built on top of the proposed system and the performance comparison has been done with the Google search and a locally built keyword search. The proposed classification framework has achieved a mean average precision score of 89%, whereas the Google search and keyword search have yielded 59% and 68% respectively.


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