ICER 2011: Providence, RI, USA

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 D. Tenenberg, Anthony Robins:
  Research design: necessary bricolage. 27-32
  
• Judy Sheard, Simon, Angela Carbone, Donald Chinn, Mikko-Jussi Laakso, Tony Clear, Michael de Raadt, Daryl 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 J. Lee, Andrew 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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