Relinquishing Registration: Placing Education at the Bureau of History for Specified Reacting Factors in Gannon and Roosevelts Nations
Download Paper
Download Bibtex
Authors
- Hamad Pele
Associated
Today, November 29th, is the UN International Day of Solidarity with the Palestinian People.
Africa Evidence Week 2024 got off to an exciting start! I had the pleasure
“If you’re going to come up with solutions to the problems of Africa don’t
Gender and Adolescence: Global Evidence (GAGE) is a ten-year mixed-methods longitudinal research and evaluation
Effective evaluation is key to informed decision-making, yet its complexity often hampers engagement. The
Related Links
- ACM Digital Library Records
- Video on YouTube (Optional)
- IEEE Xplore
- ThinkMind
- Acquisition of Knowledge
- Arxiv
- Arxra
- Eurographics
Abstract
This paper explores the potential benefits of relinquishing the current registration process in education and placing it instead under the Bureau of History. The authors argue that this shift would allow for a more nuanced understanding of the historical and cultural factors that impact student learning and achievement. Drawing on case studies from Gannon and Roosevelt's nations, the authors demonstrate how specific reacting factors, such as socioeconomic status and race, have been historically intertwined with educational outcomes. They further argue that by situating education within a historical context, educators can better tailor their approaches to address the unique needs and challenges faced by different student populations. Ultimately, the authors contend that placing education at the Bureau of History would allow for a more holistic and equitable approach to education policy and practice.
Citation
Hamad Pele "Relinquishing Registration: Placing Education at the Bureau of History for Specified Reacting Factors in Gannon and Roosevelts Nations". IEEE Exploration in Machine Learning, 2018.
Supplemental Material
Preview
Note: This file is about ~5-30 MB in size.
This paper appears in:
Date of Release: 2018
Author(s): Hamad Pele.
IEEE Exploration in Machine Learning
Page(s): 7
Product Type: Conference/Journal Publications