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Subject:
From:
Joseph Jay Williams <[log in to unmask]>
Reply To:
Joseph Jay Williams <[log in to unmask]>
Date:
Sun, 20 Aug 2017 15:57:50 +0800
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Multiple postdoctoral positions are immediately available for HCI research
that designs interventions and experiments to dynamically enhance and
personalize real-world educational technologies, spanning K12, university
courses, MOOCs, and learning by crowd workers.

The postdoc will set the agenda for research questions in collaboration
with Joseph Jay Williams
<http://www.josephjaywilliams.com/research-overview> and Min Yen Kan
<https://www.comp.nus.edu.sg/~kanmy/>, who are particularly interested in
creating systems that combine rigorous randomized experiments with
crowdsourcing and human computation, applications of statistical machine
learning (e.g. bandits & reinforcement learning, NLP, recommender systems),
and theories from cognitive and social psychology (e.g. self-explanation,
analogical comparison, growth mindset).

The postdoc will be based at the National University of Singapore's
Institute for the Application of Learning Sciences and Educational
Technology (ALSET <http://nus.edu.sg/alset/>) and the School of Computing,
working with Joseph Jay Williams and Min Yen Kan. ALSET provides unique
access to data about university students, and opportunities to create
large-scale personalized interventions to help NUS's 30 000 undergraduate
students as well as the Singaporean workforce's demand for continuing
education. Based on the postdoc's interests, there will be opportunities to
work with and visit close collaborators at Carnegie Mellon, and there could
be similar options at other universities (like Harvard and KAIST). The
appointment is for one year, with the possibility of renewal based on
mutual interest.


The postdoc will play a key role in which projects are pursued, but
illustrative examples of potential research directions are:
> Developing new systems for crowdsourcing the design of online math
problems and lessons, using multi-stage workflows that incorporate input
from students, crowd workers, instructors, and learning scientists.

> Creating and evaluating tools that enable collaboration between
instructors and researchers, such as co-design of interventions and
personalized lessons, and coordinated analysis of data about learning
outcomes for students with different characteristics.

> Investigating why and when prompting students to explain text/video
lectures promotes learning, and understanding the effect of multi-modal
interfaces that incorporate writing, speaking, and video creation. Teaching
metacognitive skills and self-regulated learning of study behaviors, taking
a user-centered approach to designing social-psychological interventions
for enhancing motivation such as Growth Mindset and Wise Feedback.

> Interpretable and Interactive Machine Learning Systems for dynamically
enhancing and personalizing instruction, especially from the perspective of
combining human computation with techniques from multi-armed
bandits/reinforcement learning, Bayesian optimization, applications of deep
learning to natural language processing.

Application Instructions

To apply for the position, please email Joseph Jay Williams (
[log in to unmask]) and Min Yen Kan ([log in to unmask]) with the
subject line "Postdoc in Dynamically Enhancing & Personalizing Educational
Technology" and your name, with the following as attachments:

(1) Curriculum Vitae (Complete).

(2) Names and contact information of 3 references who are familiar with
your research. We will follow up with your references to secure their
recommendation letters on your behalf.

In your email application, please include a brief explanation of your
research interests and how they fit with this position (in lieu of a formal
cover letter).  Applications will be accepted on a rolling basis until the
position is filled, the first round of review will occur by August 28.




Joseph Jay Williams
www.josephjaywilliams.com
Assistant Professor
Department of Information Systems & Analytics, School of Computing
National University of Singapore

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