Enhance Teaching Effectiveness with Learning Analytics and Data Visualization (II) - Hands-on Training for Educationists and Teachers
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 Visualization (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.
Date and Venue
At the end of the 2-day course, participants will be able to:
who should attend?
Educationists and teachers who are keen to learn how to use statistical analytics techniques and tools for improved teaching and learning.
* Includes 7% GST
** Singapore Citizens aged 25 and above may use their SkillsFuture Credit to offset respective course fees
(1) Up to 90% course fee funding for employees of SMEs under Enhanced Training Support for SMEs ("ETSS")
(2) Up to 90% course fee funding under SkillsFuture Mid-Career Enhanded Subsidy ("MCES")
(3) Up to 90% course fee funding under Workfare Training Support Scheme ("WTS")
1. SkillsFuture Series
Singapore Citizens or Singapore Permanent Residents are eligible for 70% course fee funding (excluding GST) for successful enrolment into approved courses under the Programme. This funding is applicable to both individual and company sponsored participants.
Singapore Citizens aged 40 and above will enjoy 90% course fee funding (excluding GST).
2. SkillsFuture Credit**
Singapore Citizens aged 25 and above may use their SkillsFuture Credits (up to S$500) 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. Applicants via MySkillsFuture.sg must be made within 60 days before course commencement. Please click here for the user guide o how to submit your claim.
3. Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect.
Dr Nina Tan is Adjunct Faculty of SMU’s Lee Kong Chian School of Business and Managing Director of Business Intelligence and 8nalytics Pte Ltd, a business advisory and corporate training organisation that focuses on helping businesses expand regionally. A serial entrepreneur, Nina has successfully groomed start-ups, which included her own stint in construction chemicals business that spans US and Asia Pacific that she subsequently sold off to formidable Global industry player Sika.
Prior to being an entrepreneur, Nina held CFO positions for 12 years cumulatively in Maritime Jurong Port, Asia Renal Healthcare SEA and ICS Inc., helping the respective entities in expanding their footprint in Asia. She was also the Regional Finance Director for 6 years in Multi-National Corporations BASF Degussa Asia Pacific with an additional 7 years in Singapore Technology Telecommunications. She championed the successful merger of trunk radio businesses between Singtel and Singapore Telecommunications Limited.
Nina is a Chartered Accountant holding dual fellow membership in both Chartered Association of Certified Accountants in London and Institute of Singapore Chartered Accountants. She holds an MBA from University of Leicester and holds a PhD in General Management, at the Lee Kong Chin School of Business in Singapore Management University.
Date and Venue
Date and Time:
2 April 2020, (9:00 AM - 5:00 PM)
3 April 2020, (9:00 AM - 5:00 PM)
81, Victoria Street
SMU, Singapore Management University