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Daniel Zingaro

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Daniel Zingaro
CitizenshipCanadian
Academic background
Alma materMcMaster University, University of Toronto
Academic work
DisciplineComputer Science, Scholarship of Teaching and Learning
InstitutionsUniversity of Toronto Mississauga
Websitewww.danielzingaro.com

Daniel Zingaro is an associate professor at the University of Toronto Mississauga. His main areas of research are in evaluating Computer science education and online learning. He has co-authored over 80 articles in peer-reviewed journals and conferences; and also authored a textbook, "Invariants: a Generative Approach to Programming.

Born visually impaired, Zingaro completed B.Sc. and M.Sc. in computer science from McMaster University. He then received a Ph.D. from Ontario Institute for Studies in Education (OISE) at the University of Toronto in Computer Science Education. His master's thesis was about formalizing and proving properties of parsers. His doctoral thesis was titled " Evaluating Peer Instruction in First-year University Computer Science Courses". Daniel Zingaro designed accessible computer games and published work in Computers & Education, International Computing Education Research (ICER) conference, Computer Science Education, British Journal of Educational Technology, and Transactions on Computing Education.

Selected publications

Awards

  • ICER Best Paper Award, 2014
  • SIGCSE 2016 best paper award
  • JOLT 2012 best paper award

References

  1. "Zingaro, Dr. Daniel | Mathematical & Computational Sciences". www.utm.utoronto.ca. Retrieved 2018-08-10.
  2. "The "Guardians of UTM" are coming | The Medium". The Medium. 2015-11-16. Retrieved 2018-08-10.
  3. "College Publications - Computing". www.collegepublications.co.uk. Retrieved 2018-08-10.
  4. "Usable Alternate Formats for Scientific Materials- Daniel Zingaro". NEADS Inc.
  5. "CS1 in Python Peer Instruction Materials | Peer Instruction for Computer Science". www.peerinstruction4cs.org. Retrieved 2018-08-10.
  6. Daniel, Zingaro (2014). Evaluating Peer Instruction in First-year University Computer Science Courses (Thesis).
  7. Guzdial, Mark. "Anyone Can Learn Programming: Teaching > Genetics | blog@CACM | Communications of the ACM". cacm.acm.org. Retrieved 2018-08-10.
  8. "Faculty Awards | Mathematical & Computational Sciences". www.utm.utoronto.ca. Retrieved 2018-08-10.
  9. "MERLOT Journal of Online Learning and Teaching, Volume 8, No. 3". jolt.merlot.org. Retrieved 2018-08-10.

External links

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