ALSET News

Postdoc “Sleep and Learning Analytics”

The Chronobiology and Sleep Laboratory (CSL) at Duke-NUS Medical School, Singapore, is seeking a postdoctoral fellow to carry out research under the theme “Sleep and Learning Analytics”.

Distinguished Scholar Series with Professor Manu Kapur

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FRIDAY 19 FEBRUARY 2021

Prof Manu Kapur (ETH Zürich) explains his theory of Productive Failure and its benefits for Learning in the 21st Century.

NUS Education Grant Writing Course

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FEBRUARY-MARCH 2021
(EOI by 15 January 2021)

A joint ALSET-CDTL workshop to help NUS faculty to prepare a formal grant proposal for research into higher education.

Distinguished Scholar Series with Prof. George Siemens

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MONDAY 14 DECEMBER 2020

Prof George Siemens (UniSA) will present the state of the art research on Learning Sciences & Learning Analytics and key methodologies for scientifically sound interventions.

ALSET Data Lake webinar w/ B. Woo & W. Tam (NUS)

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WEDNESDAY 23 SEPTEMBER 2020

Brigitte Woo and Dr Wilson TAM will show we can use the ALSET Data Lake to predict academic performance among Master of Nursing students.

Webinar on ALSET Data Lake

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MONDAY 13 JULY 2020

Dr Tan Teck Kiang and Dr Alex Biotteau will give an overview of the Data Lake, present a few case studies, demonstrate the easy process to access the online platform, and suggest ways to carry out analysis using the ADL.

ALSET webinar w/ Feng Ben & Y.C. Tay (NUS)

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MONDAY 22 JUNE 2020

Feng Ben and Prof Y.C. Tay will discuss the generation of synthetic student data to test application without accessing confidential information.

ALSET webinar w/ Dr Desmond Ong (NUS-DISA)

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MONDAY 18 MAY 2020

Dr Ong will present two studies that measured and intervened on empathy among US college freshmen, who face numerous social and academic challenges during their transition to college.

ALSET webinar w/ A/P Joshua Gooley (Duke-NUS)

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MONDAY 20 APRIL 2020

A/P Gooley will present evidence that ‘evening type’ students may be at a learning disadvantage, and early class start times should be avoided.