NTU Reg No: 200604393R. Copyright National Institute of Education, Nanyang Technological University (NIE/NTU), Singapore

COURSES

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Course synopsis

This two-day project-based learning professional development will be designed to introduce artificial intelligence (AI) fundamentals. Through this course, participants will engage in hands-on activities to gain a deeper understanding of AI and its applications in education

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Objective

Synopsis:


Artificial intelligence (AI) encompasses human-like problem-solving and decision-making abilities and is typically implemented through man-made systems, including computer programs. Its application spans diverse domains such as education, healthcare, law enforcement, and the arts. Given the influence and recent democratization of AI systems, it is imperative to equip individuals with the essential conceptual knowledge and competencies required for success as professionals, innovators, consumers, and responsible citizens. This two-day project-based learning PD will be designed to introduce AI fundamentals and its applications in education. Through this course, students will engage in hands-on activities to gain a deeper understanding of human-AI collaboration.


Objectives:




  1. Develop conceptual knowledge about what is artificial intelligence (AI) and how it’s used in the real-world.

  2. Understand various components of machine learning that powers AI systems, including data, algorithm, model and prediction.

  3. Critique the benefits and risks of AI usage in everyday lives, with particular relevance to educational contexts.

  4. Gain experience with developing and deploying an AI application for education (AIED).

Outline

Day one:



Interactive lessons to understand AI fundamentals




  • Defining AI and identifying real-world problems that it can solve.

  •  Reasoning about how data might be used by AI applications in ways that cause bias and fairness issues.

  • Understanding how AI systems can support teachers and navigating the fascinating space of human-AI collaboration in education.



 Day two:



No-code hackathon to build, test, and refine an AI-powered recommendation system to solve an educational problem




  •  Developing a problem statement that can be addressed using AI.

  •  Implementing and iterating on a data collection plan.

  • Deploying an interactive, publicly hosted AIED application to share.

Course fee
MOE Participants*International ParticipantsS'poreans & PRs

(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1

(S'poreans aged 40 and above)

Enhanced Training Support for SMEs
Full course feeS$130.00S$715.00S$715.00S$715.00S$715.00
Cat-A SSG Funding - - (S$500.50)(S$500.50)(S$500.50)
Nett course feeS$130.00S$715.00S$214.50S$214.50S$214.50
9% GST on nett course feeS$11.70S$64.35S$19.31S$19.31S$19.31
Copyright feeS$1.09S$1.09S$1.09S$1.09S$1.09
Total nett course fee payable, including GST and copyright feeS$142.79S$780.44S$234.90S$234.90S$234.90
Less additional funding if eligible under various schemes - - - (S$143.00)(S$143.00)
Total nett course fee payable, including GST, copyright fee and after additional funding from various funding schemesS$142.79S$780.44S$234.90S$91.90S$91.90

*MOE Participants include: MOE Participants & Direct Hires Staff from independent schools, Specialised Independent and Specialised Schools

Pre-requisite

  • Course Schedule and Mode of Delivery. (Duration: 13 hours):​ 12 hours: 9 am – 4 pm (each day includes an hour for lunch break) & 1 hours: Self-directed sessions

  • Basic Fluency in working with computers

  • Participants would need to bring in their personal devices (laptops)


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Upcoming Course Intakes:


Intake 1: 2 and 3 September 2024
Intake 2: 18 and 19 November 2024

Venue: NIE campus

Who should attend
All educators

Overview

Duration:

13 hours

Course date(s):

-

Subject:
Learning Sciences

Who should attend:

All educators

Instructor(s):

-

Enquiries:

-

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