Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 8 days ago

Research Assistant (NIE-OfR)

MyCareersFuture94,028 open roles

Pay
SGD 3,000 – SGD 5,300 a month
Where
West, Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowResearch Assistant (NIE-OfR)MyCareersFuture · West, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 8 days ago

The posting

The National Institute of Education invites suitable applications for the position of a Research Assistant on a 12-month contract (renewable) at the Office for Research.

Project Title:

Data and Theory Driven Artificial Intelligence to Boost the Science of Learning (AI4SoL)

Project Introduction:

The use of educational technologies is increasingly becoming more ubiquitous in mathematics education. While artificial intelligence (AI) has been integrated into the development of educational technologies, for example Intelligent Tutoring Systems (ITSs), the recent advancements in generative AI (gen AI) promise personalized learning in a more natural way. In particular, leveraging the natural language capabilities of large language models (LLMs) - a type of gen AI – to enable dialogic practice is a promising nascent field of study.

While mathematics learning requires both conceptual and procedural knowledge, students learn mathematics through sense-making of these types of knowledge through problem-solving. This requires students to access and/or construct their own relevant mathematics knowledge, create representations of said knowledge, and map their representations to the knowledge. Besides using these steps to problem-solve, mathematics learning also requires students to communicate their problem-solving strategies and solutions. From a socio-constructivist perspective, co-constructing knowledge requires a dialogic exchange between teacher and students, and feedback from teachers is essential in mathematics discourse. Based on Thurlings et al.’s models of feedback processes, most feedback in computer systems is cognitivist in nature. The advancements in LLMs appear promising in bridging this dialogic gap in feedback and learning via computer systems.

This study aims to test the efficacy of LLMs in teaching mathematics word problem solving through dialogue in structured inquiry with/without adaptive learning tasks compared to self-directed problem-solving in improving mathematical problem-solving accuracy, metacognition and self-regulation, and long-term transfer of problem-solving strategies. Findings could contribute to the growing literature on gen AI in education within the field of Artificial Intelligence in Education (AIED) and implications of design and development of LLM-applications and prompt engineering. Furthermore, the use of process data as a study instrument could contribute to both methodology (introduce system process data to support findings from research on technology-education interactions) and design (system designs that leverage gen AI to enact educational practices that work, i.e., dialogic practice).

Education Study 2 aims to test the efficacy of AI-Supported Adaptive Structured Inquiry in mathematics word problem solving. Specifically, this study investigates the extent to which an AI-Supported Adaptive Structured Inquiry can:

  • Improve problem-solving accuracy and conceptual understanding.
  • Foster independent learning through scaffolded inquiry.
  • Facilitate transfer of problem-solving strategies to new problems.

Findings could contribute to the growing literature on LLMs in education within the field of AIED and implications of design and development of LLM-based learning applications (e.g., through prompt engineering). Furthermore, the use of process data as a study instrument could contribute to both methodology (introduce system process data to support findings from research on technology-education interactions) and design (system designs that leverage LLM to enact educational practices (e.g., dialogic practice) that work.

Requirements:

Qualifications:

  • Bachelor's degree in Education, Psychology, Learning Sciences, Mathematics Education, or a related field.
  • Prior experience teaching Primary Mathematics, preferably in local school context, is advantageous.

Desirable interests, skills, and attributes:

  • Strong proficiency in quantitative research and data analysis tools (e.g., SPSS, R, Excel). Knowledge of qualitative software like NVivo is a plus.
  • Experience or foundational knowledge in educational assessment, test design, and measurement validity (e.g., content/construct validity, reliability analysis).
  • Experience in data cleaning, dataset management, and handling quantitative survey or test data.
  • Solid foundation in basic statistical concepts and data visualization.
  • Familiarity with primary Mathematics curriculum content, and general classroom environments.
  • Exposure to or interest in AI applications, educational technology, learning analytics, or prompt engineering will be an advantage.
  • Strong written, verbal, and interpersonal communication skills.
  • High attention to detail, strong organizational skills, and dependability.
  • Able to work both independently and collaboratively within a multidisciplinary team.

Key Responsibilities:

  • Perform quantitative data management tasks, including data entry, cleaning, dataset preparation, and statistical analysis.
  • Support measurement and assessment validation processes, including instrument pilot testing, item response tracking, and validity/reliability data entry.
  • Support the formatting, proofreading, and organization of primary mathematics learning materials, assessments, and research tools.
  • Conduct initial literature searches, locate academic sources, and maintain organized citation databases.
  • Support on-site data collection efforts in schools or other research settings (e.g., distributing survey materials, test administration, and equipment setup).
  • Assist with research administration, project documentation, and stakeholder communication.
  • Carry out other research-related administrative and support duties as assigned by the Principal Investigators.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00025840 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-for-Research---NIE-_R00025840)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.