Research Assistant - Singapore - SINGAPORE UNIVERSITY OF SOCIAL SCIENCES

SINGAPORE UNIVERSITY OF SOCIAL SCIENCES Singapore

4 days ago

Singapore University of Social Sciences background

Description

Roles & Responsibilities

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit

Job Description

The Teaching and Learning Centre at Singapore University of Social Sciences is inviting applications for a full-time research assistant position for one or two years. The research assistant will work closely with the project leaders on a MOE TRF project. The project examines how university instructors perceive and use feedback dashboards and how they may impact their teaching practices and students' learning experiences.

The research assistant will take the following responsibilities by working with the project leaders:

Oversee the general management and administration of the project (e.g., organizing meetings and recording meeting minutes)
Assist in the literature review, data collection, data analysis, and paper writing
Assist in preparing both the progress and final reports of the project
Work on other tasks assigned by the project leaders.

Job Requirements

Have a bachelor's degree or hold a Master's degree in a relevant discipline (e.g., Educational Technology, Learning Sciences, Educational Psychology, Psychology)
Have experience in educational research
Familiarity with qualitative and/or quantitative research methods is essential, and experience with factor analysis is a valuable bonus.
Be able to work independently with minimal supervision
Be able to work collaboratively in a team
Have good oral and written communication skills
Only shortlisted candidates will be notified. Successful candidates are expected to commence their roles on July 1st, 2024. Please submit your applications to: Dr. Lin Feng ).

Tell employers what skills you have

Machine Learning
Psychology
Lifelong Learning
Quantitative Research
Data Analysis
Teaching
Administration
Social Sciences
Python
Advocate
Writing
Molecular Biology
Educational Technology
Able To Work Independently

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