Expérience et attente du personnel enseignant sur l’applicabilité du système Licence-Maitrise-Doctorat à l’Institut Supérieur des Techniques Médicales d’Ipamu, Province du Kwilu, RD Congo

Since the early 2000s, many African countries, including the Democratic Republic of Congo (DRC), have initiated reforms in their higher education systems by adopting the Bachelor's-Master's-Doctorate (LMD) model, with the aim of aligning with international standards. In this context, the implementation of the LMD system in Congolese institutions raises numerous challenges, both pedagogical and institutional. Its effective application largely depends on the involvement and commitment of the teaching staff, whose role is central to the design and delivery of academic programs. This study explores the experiences and expectations of instructors at the Institut Supérieur des Techniques Médicales (ISTM) of Ipamu regarding the applicability of the LMD system. Based on interviews conducted with 17 faculty members, the analysis reveals a generally positive yet critical perception. The LMD model is seen as ambitious but poorly adapted to local realities. Barriers such as lack of training, excessive workload, and limited understanding of the system hinder its full adoption. The teachers call for greater support, contextual adaptation of the LMD framework, and the establishment of support mechanisms such as pedagogical units and mentoring programs.

Authors

Publication Details

Journal
Revue Congolaise des Sciences & Technologies
Published
2025-06-16
DOI
https://doi.org/10.59228/rcst.025.v4.i2.151
Primary Topic
Health, Medicine and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expérience et attente du personnel enseignant sur l’applicabilité du système Licence-Maitrise-Doctorat à l’Institut Supérieur des Techniques Médicales d’Ipamu, Province du Kwilu, RD Congo

Richard Kipuku Ondel
Revue Congolaise des Sciences & Technologies
Health, Medicine and Society
article

Expérience et attente du personnel enseignant sur l’applicabilité du système Licence-Maitrise-Doctorat à l’Institut Supérieur des Techniques Médicales d’Ipamu, Province du Kwilu, RD Congo

Richard Kipuku Ondel
article en

Abstract

Since the early 2000s, many African countries, including the Democratic Republic of Congo (DRC), have initiated reforms in their higher education systems by adopting the Bachelor's-Master's-Doctorate (LMD) model, with the aim of aligning with international standards. In this context, the implementation of the LMD system in Congolese institutions raises numerous challenges, both pedagogical and institutional. Its effective application largely depends on the involvement and commitment of the teaching staff, whose role is central to the design and delivery of academic programs. This study explores the experiences and expectations of instructors at the Institut Supérieur des Techniques Médicales (ISTM) of Ipamu regarding the applicability of the LMD system. Based on interviews conducted with 17 faculty members, the analysis reveals a generally positive yet critical perception. The LMD model is seen as ambitious but poorly adapted to local realities. Barriers such as lack of training, excessive workload, and limited understanding of the system hinder its full adoption. The teachers call for greater support, contextual adaptation of the LMD framework, and the establishment of support mechanisms such as pedagogical units and mentoring programs.

Revue Congolaise des Sciences & TechnologiesVol. 4(2)
Openalex Percentile: Top 77%
Health, Medicine and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.