Introducing ALSET & SoC, Opportunities at NUS for Data and Intervention, Data Dictionary
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The document outlines the agenda and key components of the Workshop on Education and Social Science Technologies (WESST 2017), highlighting the contributions of the National University of Singapore's School of Computing (SOC) and the ALSET institute. It details SOC's establishment, faculty strength, student population, and research rankings, as well as ALSET's mission to enhance education through learning science and technology. The document also discusses the development of a 'data lake' for managing student data to support research and analytics for improving educational practices.
Introducing ALSET & SoC, Opportunities at NUS for Data and Intervention, Data Dictionary
- 1. Welcome to the Workshop on Education and Social Science Technologies (WESST 2017) &
- 3. Agenda Welcome Address by SoC – TAN Kian Lee Welcome Address by ALSET – Robert KAMEI ALSET’s Data Lake – Chris BOESCH ALSET Research – Min-Yen KAN
- 4. SoC - NUS School of Computing in Numbers Faculty Established 1 July 1998 Formerly known as Department of Information Systems and Computer Science (DISCS)
- 5. SoC - NUS School of Computing in Numbers Faculty Strength: 105 Academic Staff 137 Research Staff Student Population: 2,330 1,800 Undergraduate Students 530 Graduate Students
- 6. SoC - Recent Rankings QS World University Rankings by Subject (Computer Science & Information Systems) Times Higher Education (Computer Science) 1 Massachusetts Institute of Technology ETH Zurich 2 Stanford University California Institute of Technology 3 University of Oxford University of Oxford 4 Harvard University Massachusetts Institute of Technology 5 Carnegie Mellon University Georgia Institute of Technology 6 University of Cambridge Carnegie Mellon University 7 University of California, Berkeley Imperial College London 8 ETH Zurich École Polytechnique Fédérale de Lausanne 9 National University of Singapore Technical University of Munich 10 Princeton University National University of Singapore 11 University of Toronto Cornell University 12 Imperial College London University College London 13 The University of Melbourne University of Washington
- 7. SoC - Research Strengths
- 8. SoC - Missions & Aspirations
- 10. Thank you!
- 11. Agenda Welcome Address by SoC – TAN Kian Lee Welcome Address by ALSET – Robert KAMEI ALSET’s Data Lake – Chris BOESCH ALSET Research – Min-Yen KAN
- 12. ALSET - The NUS Institute for Application of Learning Science & Educational Technology ALSET’s mission is to apply learning science and educational technology to advance teaching and learning. Our vision is to be a global thought leader in education, with a niche in the translation of learning science to practice.
- 13. ALSET - Mission We help learners learn. Research We conduct original research on learning science, technology, and pedagogy. Innovation We promote novel and entrepreneurial projects that improve learning outcomes. Education We work to ensure the latest research and learning technologies have broad impact.
- 14. ALSET - The Challenge • More research needed on how learners learn • New technologies, pedagogies, and policies are changing how students and teachers approach education • Most research until now happened in the United States and Europe → understanding of Asian contexts still limited • Best practices don’t always make it to the classroom • Proven technologies and pedagogies are often overlooked • Students, teachers, and administrators lack data about their effectiveness and how to improve
- 15. ALSET - Approach ALSET uses the latest advances in data and technology to achieve impact. Data We manage a “data lake” for NUS that includes data on student behaviors, performance, and long-term outcomes. Technology Our team includes experts in machine learning, data analytics, learning science, and education technology. Impact We help translate the latest advances in learning science and technology into solutions for students and teachers.
- 16. Leadership Our executive team includes experts in education, research, and technology. Chris Boesch Deputy Director Robert Kamei Director Min-Yen Kan Deputy Director
- 17. Core Faculty Our core faculty hails from a diverse range of academic disciplines. Patricia Chen Core Faculty (Psychology) Joseph Jay Williams Core Faculty (Computer Science) Fun Man Fung Core Faculty (Chemistry) and others to be recruited...
- 18. Advisory Board Our advisory board includes leading figures in learning science and education technology. Ranga Krishnan Ranga Krishnan Trevor W. Robbins Andreas Schleicher Lori Breslow
- 19. Agenda Welcome Address by SoC – TAN Kian Lee Welcome Address by ALSET – Robert KAMEI ALSET’s Data Lake – Chris BOESCH ALSET Research – Min-Yen KAN
- 20. Data Lake Objectives To facilitate BI/Analytics and research activities involving University Data by: •Consolidating multiple datasets from multiple sources and system for analysis •Supporting “Big Data” •Enabling access to raw (or near-raw) data for Data Scientists/Analysts •Initial phase to support institutional research/analytics on student-related data
- 21. Dataset Load Timeline Apr 2017 Sep 2017 Datalake (Hadoop Platform) Jul/Aug 2017 SIS Phase 1: Student biodata, education, programme of study SIS Phase 2: Academic records and activity — class, milestones, enrolment SIS Phase 3: Financials — student financial info, financial aid IVLE Phase 1: Audit logs — info on IVLE services used or accessed Research Publications: Publication data from Elements Data Catalog/Business Glossary: to be built at the same time with respective datasets IVLE Phase 1 IVLE Phase 1 IVLE Phase 1 new IVLE Phase 1 Research Publications* SIS Phase 2 new new SIS Phase 3 Dec 2017 SIS Phase 2 SIS Phase 1 SIS Phase 3 SIS Phase 2 SIS Phase 1SIS Phase 1 SIS Phase 1
- 22. 2018 Envisioned Datasets 1. Graduate Employment Survey 2. WiFi Logs 3. LMS Transaction Logs (IVLE) 4. Email metadata 5. Student Feedback 6. Job Placement and salary data 7. Co-curricular Activities 8. Student Housing 9. Internship 10. Medical Excuse Logs
- 23. Qlik Dashboards Vision for BI/Analytics Data Lake Access Jupyter Notebooks Hadoop HDFS R Server Hive SparkHawq Firewall Knox Gateway (future authentication service end-point) HUE JDBC/O DBC Authentication, Audit (app end-point) Authentication, Authorization, Audit (data/service end-point) Ranger (futureauthorization service)Secured, user application/access gateways
- 24. Agenda Welcome Address by SoC – TAN Kian Lee Welcome Address by ALSET – Robert KAMEI ALSET’s Data Lake – Chris BOESCH ALSET Research – Min-Yen KAN
- 25. ALSET Research Office SoC FASS YLLSoMFoE FoS SDE NUS Faculties ...
- 26. Granting Agencies NRF ALSET Research Office NIE SoC FASS YLLSoMFoE FoS SDE MOE NUS Faculties ... IAL
- 27. Granting Agencies NRF ALSET Research Office NIE SoC FASS YLLSoMFoE FoS SDE MOE NUS Faculties Office of the Deputy President – Research and Technology (ODPRT)NUS wide ... IAL
- 28. Granting Agencies NRF ALSET Research Office NIE SoC FASS YLLSoMFoE FoS SDE MOE NUS Faculties Office of the Deputy President – Research and Technology (ODPRT)NUS wide NUS ALSET (under Provost) ... IAL
- 29. ALSET Faculty Core Faculty: whose research has a strong connection towards understanding and improving learners' ability to learn. Has impact beyond their particular discipline's expertise, longitudinally or across modules. Affiliated Faculty: whose research is enhanced by ALSET data lake.
- 30. Service to Faculty Preparation of grant proposals (e.g., literature review) Internal review board (IRB) application assistance Bridge funding for targeting external funding Core: Access to soft funds, privileged access to data lake Responsibilities: Attend (or organize) ALSET functions at least once (twice) per year
- 31. Related Research Grants Teaching Enhancement Grant (TEG) Learning Innovation Fund – Technology (LIF-T) – Ministry of Education Tertiary Research Fund (MOE TRF) – MOE-NIE eduLab – MOE Academies Fund (MAF) – Workforce Development Applied Research Fund (WDARF) - Presentation later – Social Science Research Council (SSRC) – National Research Foundation’s Science of Learning (NRF SoL) – NRF’s upcoming AI.SG initiative NUS Internal External Funding
- 32. Steady State Scheme 1. Faculty link with an ALSET programme: Data Lake, Learning to Learn course, University-wide Surveys or Learning Innovation Lab 2. Faculty win the grant 3. Provost provisions ALSET with additional percentage funding, similar to an indirect research cost overhead, but which comes from the Provost, not from faculty’s grant.
- 34. Archipelago Invite - For Discussion and Panel