Evaluating an e-learning program to strengthen the capacity of humanitarian workers in the MENA region: the Humanitarian Leadership Diploma
Notice bibliographique
Résumé
BACKGROUND: The Middle East and North Africa (MENA) region is consistently plagued with humanitarian crises while having little response capacity. Despite their obvious growing need, there exist limited educational opportunities for humanitarian workers to develop their capacity in humanitarian topics. The present study evaluates an online training program, the Humanitarian Leadership Diploma (HLD), which targeted humanitarian workers across the MENA region. METHODS: A mixed-methods design was used, comprising short and long-term quantitative and qualitative data, targeting individual and organizational-level outcomes. A total of 28 humanitarian workers across the MENA region enrolled in the program starting September 2019 until October 2020, 18 of which completed the full diploma. Short-term quantitative data such as knowledge assessments, course evaluations, and reflective commentaries were collected from all learners, whereas long-term qualitative data was collected only from those who completed the full diploma and from peers at their organizations, 6 months after completion. Data was triangulated, analyzed using qualitative content analysis, and reported as themes. RESULTS: The program was overall successful given multiple factors reported by participants such as enhanced knowledge, high satisfaction, and improved practice, with some important challenges being identified. Themes under the strengths category related to (1) online learning, (2) significance of diploma, (3) course content, (4) instructors, (5) transfer of learning into practice, and (6) personal development. Themes under the challenges category related to (1) barriers to applying changes in behavior and performance, (2) engagement and interaction, and (3) pedagogical approach. CONCLUSION: This is one of very few evaluations of locally developed and delivered online learning programs for humanitarian actors in the MENA region. The findings are especially important as they may inform researchers and humanitarian actors looking to design and deliver similar programs in the MENA region or other fragile settings. Key recommendations are discussed in the manuscript, and include to combine synchronous and asynchronous approaches, design concise course materials, limit theoretical pedagogical approaches, ensure topics are contextualized to the region, and consider continuous engagement strategies for learners.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,009 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».