Philosophy in Indigenous Igbo Proverbs: Cross-Cultural Media for Education in the Era of Globalization

ISSN Print: 2163-9434
ISSN Online: 2163-9442
www.scirp.net/journal/ojpp
E-mail: [email protected]

Citations

"Philosophy in Indigenous Igbo Proverbs: Cross-Cultural Media for Education in the Era of Globalization"
written by Okorie Onwuchekwa,
published by Open Journal of Philosophy, Vol.3 No.1A, 2013

has been cited by the following article(s):

[1]	Contextualising social cohesion I: An overview of concepts in Africa
	2023

[2]	Two Books on Caribbean Proverbs and a Short Addendum to the Topic of Caribbean and African Proverbs
	Proverbium: Yearbook of International Proverb …, 2023

[3]	Cameroon Proverbs Translation: Investigation on the Obstacles and the Translation Strategies
	Cameroon Proverbs Translation: Investigation on the …, 2021

[4]	Indigenous Training and Learning Among the Agbaelu People of Central Igboland, Nigeria
	2021

[5]	AA GANIYU, GE ODETOMI and EO MOFOLUWAWO
	2020

[6]	TRANSCENDING THE METHOD OF “IGBAJI CHALK”: Moving from the Old to the New in the Nigerian Educational System
	2019

[7]	COPYRIGHT ISSUES WITHIN INDIGENOUS PROVERBS: SOME BAKOSSI PROVERBS OF CAMEROON
	2018

[8]	INDIGENOUS PROVERBS OF THE BAKOSSI TRIBE OF CAMEROON VIS-à-VIS POTENTIAL FAILURE TO ADHERE TO SECRET TRADITIONAL INITIATION NORMS
	2018

[9]	Towards environmental sustainability in the Niger Delta region of Nigeria: a theological framework for broader involvement of the Presbyterian Church of Nigeria
	2017

[10]	International Proverb Scholarship: An Updated Bibliography
	Proverbium: Yearbook of International Proverb …, 2017

[11]	SOCIO-RELIGIOUS DISCOURSE OF THE CONUNDRUMS OF TRADITIONAL EDUCATION IN CONTEMPORARY IGBO SOCIETY, NIGERIA
	2017

[12]	The Philosophical Foundation of Kom Proverbs
	2014

[1]	Theorizing Nigerian Indigenous Knowledge Systems 2025 DOI:10.1007/978-3-031-97581-3_13

[2]	When the occasion comes, the proverb comes: value alignment via proverbial bank and synthetic rules Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, 2024 DOI:10.1117/12.3014236