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Enhance Teaching Effectiveness with Learning Analytics and Data Visualisation (II) - Hands-on Training for Educationists and Teachers

  • Analytics & Tech
  • Innovation & Business Improvement
  • Basic
  • SkillsFuture
  • Short Courses

This module is conducted in-person.

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Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 Full Days (Weekdays)

Level
Basic

Who Should Attend

Educationists and teachers who are keen to learn how to use statistical analytics techniques and tools for improved teaching and learning.


PREREQUISITES

There are no prerequisites for this programme. Prior knowledge on any of the topics is not required.

Overview

In recent years, educators and school leaders have caught on and realised the importance of personalised attention. Everyone’s brain processes information differently and with the help of learning analytics, the model of education is gradually moving away from the unrealistic institution and towards every individual student.

This course is a follow-on from the 1-day learning analytics bootcamp Enhance Teaching Effectiveness with Learning Analytics and Data Visualisation (I) - Bootcamp for Educationists, Teachers and School Leaders. It is specifically designed for educators and school leaders to equip them with a deeper practical knowledge and more hands-on skills of different learning analytics and visualisation tools. They will gain experience working with educational data sets, building their competence and confidence in using these tools to help their students achieve their personalised learning goals and objectives.

Learning Objectives

  • Be familiarised with statistical analytics techniques using MS Excel and Tableau to interpret a wide range of data produced by and gathered on behalf of students in order to assess academic progress, predict future performance, and spot potential learning issues
  • Use scientific methods that enable critical rationalisation between choices for equitable, well-balanced and informed pedagogy approach 
  • Use analytics tools to transform data into visual analytics for performance tracking
  • Learn how to use descriptive, predictive and predictive analytics to facilitate decision making

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit

Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).

Workfare Skills Support Scheme

From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

  • Organisation must be registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million
  • Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  • Trainees must be Singapore Citizens or Singapore Permanent Residents
  • Trainees must not be a full-time national serviceman
  • Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here. 

Please click here for more information on ETSS.

Absentee Payroll

Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

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Trainers

Dr Nina Tan
Adjunct Faculty
Lee Kong Chian School of Business, SMU
Dr Nina Tan
Adjunct Faculty
Lee Kong Chian School of Business, SMU

Dr Nina is Adjunct Faculty of SMU's Lee Kong Chian School of Business (LKCSB) and Managing Director of Business Intelligence and 8nalytics Pte Ltd. A serial entrepreneur, Nina has successfully groomed start-ups, which included her own stint in construction chemicals business. Previously, Nina held CFO positions for 12 years cumulatively at Maritime Jurong Port, Asia Renal Healthcare SEA and ICS Inc., helping their expansion in Asia. Additionally, she served as Regional Finance Director for 6 years at BASF Degussa Asia Pacific, and 7 years at Singapore Technology Telecommunications. Nina is also a Chartered Accountant with dual fellow membership in ACCA London and ISCA, holds an MBA from the University of Leicester and a PhD in General Management from SMU LKCSB.

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