The challenges of massification in higher education in Africa
- URL: http://arxiv.org/abs/2403.05563v1
- Date: Tue, 20 Feb 2024 10:42:19 GMT
- Title: The challenges of massification in higher education in Africa
- Authors: Kossi Tepe, Yann Verchier, Yetongnon Kokou,
- Abstract summary: The number of students in large groups (over 3,000 in some courses) raises issues of training quality and equity.
Access to this type of training requires special training conditions and infrastructures that are not always available in developing countries.
This work can be transposed to other African countries with similar needs and will open the way to a solution analogous to intelligent classrooms for face-to-face courses.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Like many developing countries, Togo faces the challenge of massification in higher education resulting from a large increase in the number of students enrolled in its public universities. Encouraged by the public authorities, with the support of the United Nations and Unesco, the number of students to be trained continues to grow to provide the country with qualified professionals and meet its socioeconomic needs. The number of students in large groups (over 3,000 in some courses) raises issues of training quality and equity (availability of resources, reproducibility of content, study conditions, access to digital solutions, etc.). Access to this type of training requires special training conditions and infrastructures that are not always available in developing countries. This article presents a qualitative study carried out with undergraduate students and teachers at the University of Lom{\'e} concerning teaching and learning conditions in large groups and a critical analysis of the solutions implemented by the university. This work can be transposed to other African countries with similar needs and will open the way to a solution analogous to intelligent classrooms for face-to-face courses.
Related papers
- Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students [53.20318273452059]
Large language models (LLMs) like OpenAI's ChatGPT have opened up new avenues in education.
Despite school restrictions, our survey of over 300 middle and high school students revealed that a remarkable 70% of students have utilized LLMs.
We propose a few ideas to address such issues, including subject-specific models, personalized learning, and AI classrooms.
arXiv Detail & Related papers (2024-11-27T19:19:34Z) - From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents [78.15899922698631]
MAIC (Massive AI-empowered Course) is a new form of online education that leverages LLM-driven multi-agent systems to construct an AI-augmented classroom.
We conduct preliminary experiments at Tsinghua University, one of China's leading universities.
arXiv Detail & Related papers (2024-09-05T13:22:51Z) - Inequalities in Computational Thinking Among Incoming Students in an STEM Chilean University [1.2549535267918006]
This article characterizes the computational thinking abilities of incoming students at a Chilean university with a strong emphasis on STEM disciplines.
Based on more than 500 responses, this study provides evidence of significant inequalities in computational thinking across gender, type of school (private or no), and prior programming knowledge.
The findings can enlighten upcoming research endeavors and formulate strategies to create a more equitable field for students entering STEM degrees in nations facing similar circumstances.
arXiv Detail & Related papers (2024-07-22T17:51:15Z) - Teaching Digital Accessibility in Computing Education: Views of Educators in India [1.2723791935987938]
The computer science (CS) courses that ought to prepare future professionals to develop such accessible software hardly cover topics related to accessibility.
There is growing literature on incorporating accessibility topics in computing education in the West, but little work on this in the Global South.
Our study corroborates the findings of earlier surveys: very few CS faculty teach accessibility, and the top barriers they perceive are the same.
arXiv Detail & Related papers (2024-06-16T17:39:38Z) - Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges [60.62904929065257]
Large language models (LLMs) offer possibility for resolving this issue by comprehending individual requests.
This paper reviews the recently emerged LLM research related to educational capabilities, including mathematics, writing, programming, reasoning, and knowledge-based question answering.
arXiv Detail & Related papers (2023-12-27T14:37:32Z) - Academic competitions [61.592427413342975]
This chapter provides a survey of academic challenges in the context of machine learning and related fields.
We review the most influential competitions in the last few years and analyze challenges per area of knowledge.
The aims of scientific challenges, their goals, major achievements and expectations for the next few years are reviewed.
arXiv Detail & Related papers (2023-12-01T01:01:04Z) - Disparities in access to US quantum information education [0.0]
Quantum information science (QIS) coursework and degree programs are rapidly spreading across US institutions.
Yet access to quantum workforce education is unequally distributed, disproportionately benefiting students at private research-focused institutions.
We use regression analysis to analyze the distribution of QIS coursework across 456 institutions of higher learning as of fall 2022.
arXiv Detail & Related papers (2023-09-12T21:41:09Z) - ChatGPT is all you need to decolonize sub-Saharan Vocational Education [0.6999740786886537]
This position paper makes the case for an educational policy framework that would succeed in this transformation.
We highlight substantial applications of Large Language Models, tailor-made to their respective cultural background.
We provide specific historical examples of diverse states successfully implementing such policies in the elementary steps of their socioeconomic transformation.
arXiv Detail & Related papers (2023-04-11T23:50:37Z) - The Challenges of Assessing and Evaluating the Students at Distance [77.34726150561087]
The COVID-19 pandemic has caused a strong effect on higher education institutions with the closure of classroom teaching activities.
This short essay aims to explore the challenges posed to Portuguese higher education institutions and to analyze the challenges posed to evaluation models.
arXiv Detail & Related papers (2021-01-30T13:13:45Z) - Personalized Education in the AI Era: What to Expect Next? [76.37000521334585]
The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to meet her desired goal.
In recent years, the boost of artificial intelligence (AI) and machine learning (ML) has unfolded novel perspectives to enhance personalized education.
arXiv Detail & Related papers (2021-01-19T12:23:32Z) - Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)
Curriculum [58.86139968005518]
The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education.
A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum.
The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
arXiv Detail & Related papers (2021-01-19T11:26:19Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.