Dastyni Loksa

Doctoral Candidate
University of Washington
The Information School

I'm a doctoral candidate at the University of Washington's Information School. I am being advised by Andrew J. Ko and am a member of the Code and Cognition Lab and the DUB Group. I received my bachelor of science in Informatics at University of California Irvine and my master's in Information Science at University of Washington.

Research

My primary interests include computer science education, human-computer interaction (HCI), design, and psychology.

I'm currently investigating the how to improve the teaching of programming by providing explicit instruction on programming problem solving. I seak to demystify programming while making programming education more equitable for students of all backgrounds and cognitive styles. I believe this can be done by teaching not only what programmers use (the languages and tools assiociated with programming) but also the cognitive problem solving skills that programmers rely upon while solving programming problems.

I'm currently exploring the following questions:

  • How might we incorporate explicit metacognitive and self-regulation instruction into classroom curricula?
  • How does explicit problem solving instruction benefit programming students?
  • Given our best knowledge of programming process, what barriers do instructors encounter when creating instructional content to teach programming process?
  • How can we explicitly describe programming strategies?
  • How do explicit programming strategies help and hinder developers of varying expertise?

Publications

2018

Achievement Goals in CS1: Replication and Extension (2018)
Daniel Zingaro, Michelle Craig, Leo Porter, Brett A Becker, Yingjun Cao, Phill Conrad, Diana Cukierman, Arto Hellas, Dastyni Loksa, Neena Thota
Proceedings of the 49th ACM Technical Symposium on Computer Science Education
ACCEPTANCE RATE 35% REFEREED CONFERENCE PAPER

2016

Programming, Problem Solving, and Self-Awareness: Effects of Explicit Guidance (2016)
Dastyni Loksa, Andrew J. Ko, Will Jernigan, Alannah Oleson, Christopher J Mendez, and Margaret M Burnett
CHI Conference on Human Factors in Computing Systems
ACCEPTANCE RATE 23% REFEREED CONFERENCE PAPER

The Role of Self-Regulation in Programming Problem Solving Process and Success (2016)
Dastyni Loksa and Andrew J. Ko
Proceedings of the Twelfth Annual International Conference on International Computing Education Research

2014

Challenging stereotypes and changing attitudes: the effect of a brief programming encounter on adults' attitudes toward programming (2014)
Polina Charters, Michael J. Lee, Andrew J. Ko, Dastyni Loksa
ACM Symposium on Computer Science Education (p. 653-658)
ACCEPTANCE RATE 39% REFEREED CONFERENCE PAPER

2013

Enabling a Classroom Design Studio with a Collaborative Sketch Design Tool (2013)
Dastyni Loksa, Nicolas Mangano, Thomas D. LaToza, André van der Hoek
Thirty-fifth International Conference on Software Engineering Education Track (p. 1073–1082)