CALL FOR APPLICATIONS: RECRUITMENT OF ENUMERATORS DIGITAL EDUCATION TRACER SURVEY

The Research Team implementing the research project “From Emergency Online Learning to Resilient Digital Education Ecosystems: Evaluating Blended Learning and Learner Analytics in Rwandan Higher Learning Institutions” invites applications from qualified, committed, and motivated individuals to serve as Enumerators for the data collection exercise.

1. About the Study

The study aims to produce rigorous and policy-relevant evidence on the quality, equity, and effectiveness of blended learning and learner analytics at the University of Rwanda. It will also contribute to the co-production of a validated Digital Resilience Framework and Policy Toolkit to support Rwandan and East African public universities in transitioning from emergency online learning to resilient, inclusive, and sustainable digital education systems.

The tracer survey will generate evidence on students’ and/or graduates’ experiences with online and blended learning, including access to digital learning resources, quality and effectiveness of digital learning, participation and engagement, digital competencies, learner support, barriers and inequalities in accessing digital education, and experiences with digital learning platforms and learner analytics.

The information collected will contribute to understanding what works, for whom, and under what conditions in blended and digitally supported learning and will inform recommendations for strengthening digital education resilience in higher learning institutions.

Key Responsibilities

Selected enumerators will:

• Administer the approved digital education tracer survey to selected respondents using KoboCollect;
• Explain the purpose of the study and obtain informed consent before each interview;
• Accurately and completely record respondents’ responses;
• Follow questionnaire instructions, skip patterns, and fieldwork protocols;
• Ensure that respondents understand questions without influencing their responses;
• Maintain strict confidentiality and protect all respondent information;
• Conduct follow-up with selected respondents where required;
• Identify and report fieldwork challenges, respondent concerns, and data-quality issues to the field supervisor;
• Participate in field testing and provide feedback on the questionnaire and data-collection process; and
• Comply fully with research ethics, data-protection requirements, and quality-control procedures.

2. Required Experience and Skills

Applicants should:

• Have proven experience in quantitative data collection and field research;
• Have practical experience using KoboCollect/KoboToolbox for electronic data collection proven by signed certificate;
• Submit at least two certificates or other verifiable evidence of participation in data-collection activities using KoboCollect/KoboToolbox;
• Be fluent in Kinyarwanda and English, both orally and in writing;
• Have strong communication, interpersonal, and interviewing skills;
• Demonstrate integrity, reliability, accuracy, and attention to detail;
• Be able to work effectively with students, graduates, academic staff, and other members of higher learning institutions;
• Demonstrate an understanding of confidentiality, informed consent, and ethical research practices; and
• Be available throughout the designated training, field-testing, and data-collection period.

Previous experience in education research, student or graduate tracer surveys, digital/online learning, blended learning, learner analytics, or research involving higher learning institutions will be an added advantage.

3. Training

Selected enumerators will participate in mandatory training and field-testing before the main data collection exercise.

The training will cover:

• Study objectives and research protocols;
• The concept of blended learning and digital education resilience;
• The digital education tracer survey questionnaire;
• Use of KoboCollect/KoboToolbox;
• Interviewing techniques and respondent engagement;
• Informed consent and research ethics;
• Confidentiality and data protection;
• Questionnaire skip patterns and data-quality assurance;
• Procedures for collecting reliable information on respondents’ experiences with digital and blended learning; and
• Fieldwork coordination, supervision, and reporting.

4. Application Requirements

Interested applicants should submit:

1. An updated CV highlighting relevant research and data-collection experience;
2. A brief application letter;
3. At least two certificates or other verifiable proof of participation in data collection using KoboCollect/KoboToolbox; and
4. Contact details of two referees.

5. Application Procedure

Applications should be submitted electronically to:

Email: l.mukamana@ur.ac.rwwith a copy to academicdocument1@gmail.com

Subject: Application – Enumerator, Digital Education Tracer Survey Application Deadline: 8 September 2026

Only shortlisted candidates will be contacted for interviews and/or further assessment. Done at Huye on 31 August 2026

Assoc. Prof. Liberata Mukamana Principal Investigator