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Research Fellow (1 year contract)

5-8 Years
SGD 4,800 - 7,000 per month
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Job Description

Project Summary

The research team in the Teaching and Learning Centreat the Singapore University of Social Sciences (SUSS) is seeking a qualified Research Fellow to participate in a study titled A Pilot Study on an Adaptive Learning System (ALS)-Enabled Community Academic Support Programme for Low-SES Students.

This project examines the implementation and impact of an adaptive learning system-enabled community academic support programme for students from low socioeconomic backgrounds. The study adopts a mixed-methods approach, involving instrument development, surveys, field observations, interviews, learning analytics, data mining and analysis of system-generated data, alongside programme documentation and reports. The complexity of learning pathways and learner engagement will be systematically examined in relation to academic and non-academic outcomes.

The intent of the project is to better understand how adaptive learning technologies can be leveraged to support equitable learning and to inform scalable, practice-oriented interventions in community-based contexts. The project is scheduled to run for 2.5 years.

The Research Fellow will be expected to:
1. Design and conduct quantitative and qualitative data collection and research activities aligned with the project objectives
2. Perform advanced quantitative and qualitative data analyses
3. Prepare high-quality research reports, academic manuscripts, presentations, and dissemination materials
4. Support project management, including coordination with stakeholders, community partners, timelines, and deliverables
5. Assist with research ethics applications, documentation, and reporting requirements
6. Contribute to a range of research and project-related activities, providing opportunities for broader professional learning and exposure to the full research lifecycle and related initiatives beyond the core study

Requirements

  • PhD in Education or a related field candidates with relevant industry experience are strongly encouraged to apply
  • Strong expertise in advanced quantitative and qualitative research methods
  • Demonstrated ability to work independently and manage research and project-related tasks
  • Excellent academic and professional writing skills
  • Highly motivated, driven, and able to meet deadlines in a dynamic research environment
  • A strong and relevant publication record in reputable peer-reviewed journals will be an advantage.
  • Prior experience in education or related fields, including educational psychology, educational technology, adaptive learning systems, learning analytics, community-based programmes, or research involving Low-SES populations, will be an advantage.

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Job ID: 146502095

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