Presentation for Panel Discussion CHEONG Hee Kiat AAOU

  • Slides: 27
Download presentation
Presentation for Panel Discussion CHEONG Hee Kiat AAOU Conference Yogjakarta, September 2017

Presentation for Panel Discussion CHEONG Hee Kiat AAOU Conference Yogjakarta, September 2017

27 Sept 2017 | 2

27 Sept 2017 | 2

SUSS Today [From private to public] Founded in Programmes 2005 56 Alumni Student enrolment

SUSS Today [From private to public] Founded in Programmes 2005 56 Alumni Student enrolment >25, 000 ~14, 000 Non-academic staff 280 Full-time faculty 166 Alumni Associate faculty 1, 000 § Recognised as an institution of good standards; MOE fee subsidy for our PT students, funding for FT studies & Law School; Skills. Future accredited courses § Unique pedagogy for flexible applied learning § Pervasive system of technology-enhanced & mobile learning § Financially sustainable at present rate of operations INCLUSIVE : WIDE ENTRY – NARROW EXIT : STRONG CET, GROWTH IN PET 27 Sept 2017 | 3

OPERATIONS AS AN AU ON CLEMENTI CAMPUS SUSS Clementi Campus 27 Sept 2017 |

OPERATIONS AS AN AU ON CLEMENTI CAMPUS SUSS Clementi Campus 27 Sept 2017 | 4

Advancing the Social Sciences The large problems of tomorrow are social

Advancing the Social Sciences The large problems of tomorrow are social

Propagating social & community values & considerations … Bus Log Fin Mkt Acc Programmes

Propagating social & community values & considerations … Bus Log Fin Mkt Acc Programmes . . Swk Cou Ger Psy Soc Ece. . LLit HRM EE BPM Hsf ICT… Soc. Sci Core Curriculum Activities

Interdisciplinary learning Thinking & Reasoning Critical Readings Social Research Inter-Disciplinary & Multi-modal Learning Architectures

Interdisciplinary learning Thinking & Reasoning Critical Readings Social Research Inter-Disciplinary & Multi-modal Learning Architectures World Histories & Issues Sustainability & Technology Culture & Diversity 27 Sept 2017 | 7

Advancing Skills. Future (Lifelong Learning) The jobs of tomorrow require a different mindset of

Advancing Skills. Future (Lifelong Learning) The jobs of tomorrow require a different mindset of learning

Pathways ▪ Inclusive ▪ Wide entry-narrow exit ▪ Modular ▪ Multi-mode ▪ Applied ▪

Pathways ▪ Inclusive ▪ Wide entry-narrow exit ▪ Modular ▪ Multi-mode ▪ Applied ▪ Supported ▪ Learner Registered Programme of Studies Poly grad, 2 ‘A’ levels or degree holder Re-start Degree Industry & Partners SAT 1 or exam Courses/ Modules/ Modules K-bites Others SF workstudy Certificate(s) & Intermediate Qualifications Courses, Participation Employees 27 Sept 2017 | 10

Comprehensive & porous eco-system PT (Q) CET FT (Q) PT(Q) : Part-time studies for

Comprehensive & porous eco-system PT (Q) CET FT (Q) PT(Q) : Part-time studies for qualification FT(Q): Full-time studies for qualification CET: Continuing education & training

Initiatives § § § § Education & career guidance E-Portfolio development – college, career,

Initiatives § § § § Education & career guidance E-Portfolio development – college, career, community, personal journeys Work attachments – job-seeking skills, job skills (specialists as mentors) International exposure Earn & Learn programmes (ELP) Work-study programmes Certificates, mini-qualifications, knowledge bites Training for emerging areas of employment – Fin. Tech, IOT, cloud computing, analytics 27 Sept 2017 | 12

Earn & Learn programmes with polytechnics NYP • Retail Management • Spatial Design •

Earn & Learn programmes with polytechnics NYP • Retail Management • Spatial Design • Visual Communication • Human Capital Management • Electronic System Development NP • Sustainable Facilities Management • Accountancy RP • Hospitality Business Management • Supply Chain Management SP • Cyber Security • Port Management & Operations TP • Building & Service • Infocomm Technology • Wafer Fabrication • IC Assembly • Big Data & Analytics 27 Sept 2017 | 13

Skills. Future work-study degree programme § SUSS-Standard Chartered Bank § Since Jan 2017 §

Skills. Future work-study degree programme § SUSS-Standard Chartered Bank § Since Jan 2017 § § 6 Full-time Finance students 1 Full-time HRM student § Assigned roles: Assurance Analyst, Client Due Diligence Operations Analyst, Client Experience Analyst, Process Governance Analyst, Business Partner Executive. . § Application statistics 2016: Jan 2017: July 2017: 25 11 20 Upon graduation (2018/2019), permanent job 27 Sept 2017 | 14

Certificate leading to a Minor (40 cu) Public Sector Entrepreneurship Service Mgt Procurement Management

Certificate leading to a Minor (40 cu) Public Sector Entrepreneurship Service Mgt Procurement Management International Trade Organisation Management Data Analytics PSD/CSC Alibaba Cloud MOF/DSTA IE Singapore LTA ISCA Jan 2017 16 students July 2017 16 teams Jan 2018 27 Sept 2017 | 15

Initiatives § § § Education & career guidance E-Portfolio development – college, career, community,

Initiatives § § § Education & career guidance E-Portfolio development – college, career, community, personal journeys Work attachments – job-seeking skills, job skills (specialists as mentors) International exposure Earn & Learn programmes (ELP) Work-study programmes Certificates, mini-qualifications, knowledge bites Training for emerging areas of employment – Fin. Tech, IOT, cloud computing, analytics Executive programmes for business owners Training suite for SMEs – on demand; HR, Fin, Mkt, Governance, Bus Excellence, IT Job creation by our students/graduates 27 Sept 2017 | 16

Job creation at SUSS Startup Stage Funding SUSS Entrepreneurship Programmes 40 cu Alibaba Cloud

Job creation at SUSS Startup Stage Funding SUSS Entrepreneurship Programmes 40 cu Alibaba Cloud – SUSS Entrepreneurship Minor Mentorship by C-level Industry Experts Incubation Ideation Mindset 5 cu Entrepreneurship Bootcamp Talks, Seminars and Conference Visits Partners are: rai. SE, Impac. Tech, Unicorn Factory, e 27 27 Sept 2017 | 17

Serving the future economy IHLs Industry SUSS Graduate Educational provisions Degree Hor skills Vert

Serving the future economy IHLs Industry SUSS Graduate Educational provisions Degree Hor skills Vert skills Professional (PME) Acquired skills set Work Experience Acquired skills New jobs Augmented skills set New mindsets ……………. . New PME New skills (IHLs & Industry) Employers Employer validation & acceptance 27 Sept 2017 | 18

Advancing Analytics Data mining can provide new insights & capability for tomorrow’s needs

Advancing Analytics Data mining can provide new insights & capability for tomorrow’s needs

Analytics: Supporting learning & operations Institutional Research & Analytics Unit (IRAU) set up in

Analytics: Supporting learning & operations Institutional Research & Analytics Unit (IRAU) set up in August 2016 Purpose: a. Build up University’s analytics capability b. Support learning through analytics c. Develop a platform to facilitate information sharing, dashboards and decision making d. Build digitally “warehouse” of critical data University Level Decision Making & Planning Support Data Warehouse IRAU Reporting/ Analytics Institutional Analytics Support Data, Training, Consultancy, Collaboration & Others Support Decision Making & Planning in Different Units in SUSS 27 Sept 2017 | 20

Longitudinal study on learner performance Academic Application T&L Admission INPUTS Graduation Assessments THROUGHPUTS Alumni

Longitudinal study on learner performance Academic Application T&L Admission INPUTS Graduation Assessments THROUGHPUTS Alumni OUTPUTS OUTCOMES Professional Personal

Illust. Learning analytics projectsrative Students (e. g. , At-risk prediction, LMS & performance; Blended

Illust. Learning analytics projectsrative Students (e. g. , At-risk prediction, LMS & performance; Blended learning versus Face-to-Face delivery) Associates (e. g. , PT instructor profiles & perceptions); Others (e. g. , TLC & external) 1. Students: a) Early alert system: prediction of at-risk students; and b) LMS: antecedents/consequents of online engagement. 2. Associates: a) Segmentation & profiling of PT instructors; and b) Perceptions of associates. 3. Others: a) Comparison of blended and face-to-face courses; and b) Determinants of FT student performance: prior acad performance, selection scores & demographics.

Student Information System (SIS) Data Used for Prediction Enrolment Test Scores Demographics Pre-SUSS Academic

Student Information System (SIS) Data Used for Prediction Enrolment Test Scores Demographics Pre-SUSS Academic Student Data Milestones Learning Management System

Challenges in Analytics § § § Interest & adoption – leaders & staff Knowing

Challenges in Analytics § § § Interest & adoption – leaders & staff Knowing what data & analysis to ask for Training of staff Shortage of analytics professionals Data cleanliness & integrity 27 Sept 2017 | 24

Preparing to operate in an uncertain future Be the Disruptor… Not the Disrupted

Preparing to operate in an uncertain future Be the Disruptor… Not the Disrupted

Thank You

Thank You

Student Information System (SIS) Data Used for Prediction Enrolment Test Scores Demographics • •

Student Information System (SIS) Data Used for Prediction Enrolment Test Scores Demographics • • • Gender Age Race Residency Nationality Marital Status Age@intake Yrs of work experience Sponsored by Company Pre-SUSS • • • Individual & Group Interview scores Cognitive score Portfolio score Essay score Milestones Student Data Highest Education Title, Institution, Year & Grade ‘O’ and/or ‘A’ level grades • • School, Discipline, Programme completed Time to Completion CGPA@graduation Degree classification (For all active semesters: ) • Relevant (break down Relevant courses/CUs into Compulsory&Elective) & Irrelevant courses/CUs Completed, Failed or Withdrawn • UCORE Completed, Failed or Withdrawn Academic • • • Join intake School, Discipline, Programme enrolled to CUs exempted Minimum CU to graduate TOP (For all active semesters: ) • Academic Semester • SGPA, CGPA • Relevant (break down Relevant courses/CUs into Compulsory&Elective) & Irrelevant courses/CUs Taken • UCORE Taken Learning Management System (by course: ) • Course details (School, Discipline, Degree, Level & Code) • Course structure (weightage on TMA, GBA, DB, ECA/EQP) • Learning resources (Assessment components: ) • Quiz timestamp, no. of attempts & grades • Discussion timestamp, no. of attempts & grades • TMA/GBA timestamp, no. of attempts & grades • ECA/Exam grades