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ORCIDICER 2011: Providence, RI, USA
- Kate Sanders, Michael E. Caspersen, Alison Clear:
Proceedings of the Seventh International Workshop on Computing Education Research, ICER 2011, Providence, RI, USA, August 8-9, 2011. ACM 2011, ISBN 978-1-4503-0829-8
Keynote address
- Eric Mazur:
The scientific approach to teaching: research as a basis for course design. 1-2
Choosing computing
- Colleen M. Lewis, Ken Yasuhara, Ruth E. Anderson:
Deciding to major in computer science: a grounded theory of students' self-assessment of ability. 3-10 - Michael Hewner, Mark Guzdial
:
How CS majors select a specialization. 11-18 - Päivi Kinnunen, Beth Simon:
CS majors' self-efficacy perceptions in CS1: results in light of social cognitive theory. 19-26
Food for discussion
- Sally Fincher, Josh Tenenberg, Anthony V. Robins:
Research design: necessary bricolage. 27-32 - Judy Sheard, Simon, Angela Carbone, Donald Chinn, Mikko-Jussi Laakso, Tony Clear, Michael de Raadt, Daryl J. D'Souza, James Harland, Raymond Lister, Anne Philpott, Geoff Warburton:
Exploring programming assessment instruments: a classification scheme for examination questions. 33-38 - Guillaume Marceau, Kathi Fisler, Shriram Krishnamurthi:
Do values grow on trees?: expression integrity in functional programming. 39-44
Collaborative learning
- Leo Porter, Cynthia Bailey Lee, Beth Simon, Daniel Zingaro:
Peer instruction: do students really learn from peer discussion in computing? 45-52 - Paul Denny, Brian Hanks, Beth Simon, Spencer Bagley:
PeerWise: exploring conflicting efficacy studies. 53-60
Informal learning
- Jonas Boustedt, Anna Eckerdal, Robert McCartney, Kate Sanders, Lynda Thomas, Carol Zander:
Students' perceptions of the differences between formal and informal learning. 61-68 - Brian Dorn:
ScriptABLE: supporting informal learning with cases. 69-76
CS1
- Peter Hubwieser, Andreas Mühling:
What students (should) know about object oriented programming. 77-84 - Emily S. Tabanao, Ma. Mercedes T. Rodrigo, Matthew C. Jadud:
Predicting at-risk novice Java programmers through the analysis of online protocols. 85-92 - Simon, Susan Snowdon:
Explaining program code: giving students the answer helps - but only just. 93-100
Tools and techniques
- Wei Jin, Albert T. Corbett:
CAL programming tutors that guide students in solving problems and help students building skills. 101-108 - Michael Jongseon Lee, Amy J. Ko:
Personifying programming tool feedback improves novice programmers' learning. 109-116 - Christopher D. Hundhausen, Dana Fairbrother, Marian Petre:
The "prototype walkthrough": a studio-based learning activity for human-computer interaction courses. 117-124
Before CS1
- Thomas H. Park, Susan Wiedenbeck:
Learning web development: challenges at an earlier stage of computing education. 125-132 - Quintin I. Cutts, Sarah Esper, Beth Simon:
Computing as the 4th "R": a general education approach to computing education. 133-138
Doctoral consortium: abstracts
- Colleen M. Lewis:
Integrating students' prior knowledge into pedagogy. 139-140 - Jan Erik Moström:
Student views on learning concurrency. 141-142 - Lijun Ni:
Building professional identity as computer science teachers: supporting secondary computer science teachers through reflection and community building. 143-144 - Mara Saeli:
Pedagogical content knowledge in programming education for secondary school. 145-146 - Leigh Ann Sudol-DeLyser:
Encouraging students to think of code as an algorithmic symphony: the effect of feedback regarding algorithmic abstraction during code production. 147-148
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