- Organization: UNV – United Nations Volunteers
- Location: Accra
- Grade: Level not specified – Level not specified
- Occupational Groups:
- Education, Learning and Training
- Closing Date: 2023-10-20
Morobe Development Foundation Inc. is a leading Internationally recognised NGO based in Lae Morobe Province, Papua New Guinea who has the vision to help young people reach their full potential by utilizing their hidden talents in community development initiatives so they can realize their potential and become a role model in the community. MDF was established to address a broader and more diverse range of objectives and work through the use of dance, music and drama, MDF’s primary aim is to ensure that women participate equally in decision making in any project undertaken, including projects related to Ending Violence against Women, and promoting Human Rights with a aim to support the Government and UN their Development Goals. MDF, in collaboration with Online Volunteers engaged through the UNV’s Unified Volunteer Platform (UVP), has also undertaken various scientific research studies related to the environment – forest cover loss, land use land cover change, the influence of various parameters on surface waters, and coastal shoreline turtle habitat loss. These projects included the participation of various experts and researchers from diverse fields across various countries across the globe – ranging from marine biology, biodiversity conservation, PNG community management, remote sensing, and land use policy among various others. MDF is managed by a management committee, which is made up of the Chairman, the Deputy Chairman, Secretary, the Treasurer, the Project Coordinator, Community Development Officer, and a male and female member of the foundation, and ensures that women participate equally in decision making. We at MDF assert that we have the required skill sets, knowledge, established international network, and the necessary foundational work to undertake projects successfully.
We are seeking to engage three dedicated Online Volunteers to join our team and assist in data analysis and literature review for a project on “EARLY LEARNING TEACHER ASSESSMENT IN GHANA.” As an Online Volunteer, you will play a crucial role in transforming raw data into meaningful insights and visual representations. Based on their skills and interests. Each Online Volunteer will be assigned a specific area of focus, such as education indicators, economic factors, or visual representation. However, teamwork and communication will be essential throughout the process to ensure consistency and coherence in the final research output. If you have experience in data analysis, research compilation, or visual representation, and are passionate about making a positive impact through education, we invite you to join our team as Online Volunteer. Together, we can contribute to the understanding of the role of teachers in early years learning in Ghana.
We are seeking to engage three dedicated Online Volunteers to join our team and assist in data analysis and literature review for a project on “EARLY LEARNING TEACHER ASSESSMENT IN GHANA.” As an Online Volunteer, you will play a crucial role in transforming raw data into meaningful insights and visual representations. Specifically, your tasks will include one of the following: 1. Data Analysis-1 Volunteer: Analyzing and interpreting data related to early learning indicators, socioeconomic factors, and other relevant variables. This will involve using statistical tools and software such as SPSS to uncover patterns, trends, and correlations within the data. 2. Research Compilation-1 Volunteer: Organizing literature review on pre-determined topics. Gathering information from reliable sources such as government reports, academic research, and statistical databases. You will be responsible for organizing and synthesizing the collected data into a comprehensive research document. 3. Visual Representation-1 Volunteer: Creating visually appealing graphs, charts, and infographics to effectively communicate the research findings. This will involve selecting appropriate visualization techniques and presenting the data in a clear and concise manner.