Research Associate (Learning Sciences & Assessment Department) [NIE]

Responsibilities

• Research Planning & Literature Work
• Conduct literature reviews and summarize relevant findings.
• Prepare research instruments, protocols, and interview/fieldwork schedules.
• Data Collection & Fieldwork
• Recruit research participants and manage outreach.
• Conduct interviews (in person or online) and arrange related logistics.
• Travel to field sites to collect data or samples when required.
• Data Management & Analysis
• Record, clean, verify, and maintain research data while ensuring confidentiality.
• Enter, code, and organize data in accordance with research protocols.
• Provide accessible and up-to-date data for the PI or research team.
• Perform data analyses to discuss with PI or research team members.
• Update data management plan.
• Technology & Systems Development
• Develop or support the development of AI agents/chatbots relevant to the project.
• Manage and update the research shared drive and documentation systems.
• Project Administration & Coordination
• Handle project-related enquiries and issues.
• Request and manage equipment, supplies, and other logistical needs.
• Monitor the project budget and support administrative processes.
• Assist with arranging visits by external consultants.
• Meetings & Communication
• Attend project meetings, seminars, and related events; take minutes as needed.
• Summarize project results and prepare progress updates.
• Writing & Dissemination
• Draft reports, presentations, articles, and publication materials.
• Team Support & Leadership
• Provide guidance to student assistants when needed.
• Perform any other duties assigned by the Principal Investigator.
• Application
• Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.
• Workday Job Requisition ID: R00025032
• (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Learning-Sciences---Assessment-Department---NIE-_R00025032)
• Closing Date
• Closing date for advertisements will be set to 14 calendar days from date of posting.

Requirements

• Essential
• Master's degree in Education or a related field.
• Knowledge of research methods, including quantitative and qualitative analyses.
• Prior relevant work experience in research roles (e.g., Research Assistant, Research Associate or similar).
• Experience in academic publications.
• Experience in applying for ethics clearance.
• Excellent administrative skills.
• Ability to manage multiple tasks and work in a fast-paced environment.
• Good time management and organisational skills.
• Preferred
• Strong technical skills in development related to AI.
• Work experience in Singapore school settings.

Additional Information

The National Institute of Education invites suitable applications for the position of Research Associate on a 20-month contract at the Learning Sciences & Assessment Department. Project Title: Enhancing students' self-regulated learning with generative AI-powered chatbots Project Introduction: This research project aims to investigate how a generative AI-powered chatbot (called ReguLearn) can enhance students' self-regulated learning and socially shared self-regulated learning at the Secondary and JC levels. The main objectives are: (1) To design and develop chatbots using generative AI (Large Language Model, LLM) that support students' self-regulated learning based on self-regulated learning and socially shared self-regulated learning theories and principles; (2) To investigate the effects of intervention using AI-powered chatbots on (a) students' self-regulated learning in individual settings and (b) socially shared self-regulated learning in group learning contexts; (3) To investigate moderating factors (e.g., motivation, self-efficacy) that could affect the intended outcomes.

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