CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Classic View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Topic: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Joseph Jay Williams <[log in to unmask]>
Sun, 25 Nov 2018 17:16:14 -0500
text/plain (55 lines)
Students are invited to apply to the Computer Science PhD program at
University of Toronto, on topics at the intersection of Computer Science
and Education. This year, UofT Computer Science made a tenure-track hire
who is conducting research on education and learning (Joseph Jay Williams
<http://www.josephjaywilliams.com/research-overview>), expanding on U of
T's Computer Science Education research group <https://uoftcsed.github.io/>.
PhD candidates can investigate how people learn to program, and other
related topics in computing education (the kind of work published at
SIGCSE, ICER, etc).

They can also do research at the intersection of computer science and
education, applying computational techniques such as human-computer
interaction, crowdsourcing, and statistical machine learning to the study
of education within and beyond computer science (e.g. published at CHI, ACM
Learning Analytics & Knowledge, Learning @ Scale, EDM, AIED).

Students can apply for the Ph.D/Master's program
<http://web.cs.toronto.edu/Graduate/prospective_gradwhy.htm> in Computer
Science and list potential advisors as Joseph Jay Williams (see
www.josephjaywilliams.com/prospectivestudents) or Tovi Grossman
<http://www.tovigrossman.com/>. (Note that at Toronto, the Master's is a
research program that streams to the PhD. Students who want a professional
master's degree in preparation for industry should apply to the MScAC).

Students will be encouraged to collaborate with other members of the Computer
Science Education group <http://uoftcsed.github.io>, the HCI group in the
DGP <http://www.dgp.toronto.edu/home/people>, the machine learning group
<http://www.cs.toronto.edu:40292/> and Vector Institute
<https://vectorinstitute.ai/>, and faculty across the university in areas
like computational social science, psychology, education (OISE), public
health, and public policy.


Joseph


Joseph Jay Williams
www.josephjaywilliams.com
Assistant Professor
Department of Computer Science, University of Toronto

Calendar: tiny.cc/williamscalendar send invitations to
[log in to unmask]
Office: Bahen Centre 5222 (directions at tiny.cc/joffice)

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2