Abstract is missing.
- Unlocking learners' evaluative skills: a peer review perspectiveDavid J. Nicol. 1-2 [doi]
- Eye tracking in computing educationTeresa Busjahn, Carsten Schulte, Bonita Sharif, Simon, Andrew Begel, Michael Hansen, Roman Bednarik, Paul Orlov, Petri Ihantola, Galina Shchekotova, Maria Antropova. 3-10 [doi]
- In-flow peer-review of tests in test-first programmingJoe Gibbs Politz, Shriram Krishnamurthi, Kathi Fisler. 11-18 [doi]
- A systematic review of approaches for teaching introductory programming and their influence on successArto Vihavainen, Jonne Airaksinen, Christopher Watson. 19-26 [doi]
- Theoretical underpinnings of computing education research: what is the evidence?Lauri Malmi, Judy Sheard, Simon, Roman Bednarik, Juha Helminen, Päivi Kinnunen, Ari Korhonen, Niko Myller, Juha Sorva, Ahmad Taherkhani. 27-34 [doi]
- The recurring rainfall problemKathi Fisler. 35-42 [doi]
- Investigating novice programming mistakes: educator beliefs vs. student dataNeil C. C. Brown, Amjad AlTadmri. 43-50 [doi]
- Predicting student success using fine grain clicker dataLeo Porter, Daniel Zingaro, Raymond Lister. 51-58 [doi]
- A structured approach to teaching recursion using cargo-botElynn Lee, Victoria Shan, Bradley Beth, Calvin Lin. 59-66 [doi]
- Exploring variation in students' correct traces of linear recursionColleen M. Lewis. 67-74 [doi]
- Diversifying high school students' views about computing with electronic textilesKristin A. Searle, Deborah A. Fields, Debora A. Lui, Yasmin B. Kafai. 75-82 [doi]
- New enactments of mentoring and activism: U.S. women of color in computing education and careersApriel K. Hodari, Maria Ong, Lily T. Ko, Rachel R. Kachchaf. 83-90 [doi]
- Graduating students' designs: through a phenomenographic lensLynda Thomas, Anna Eckerdal, Robert McCartney, Jan Erik Moström, Kate Sanders, Carol Zander. 91-98 [doi]
- Computer programs, dialogicality, and intentionalityJosh Tenenberg, Yifat Ben-David Kolikant. 99-106 [doi]
- Academic integrity perceptions regarding computing assessments and essaysSimon, Beth Cook, Judy Sheard, Angela Carbone, Chris Johnson. 107-114 [doi]
- How CS undergraduates make course choicesMichael Hewner. 115-122 [doi]
- Measuring enrichment: the assembly and validation of an instrument to assess student self-beliefs in CS1Michael James Scott, Gheorghita Ghinea. 123-130 [doi]
- Measuring cognitive load in introductory CS: adaptation of an instrumentBriana B. Morrison, Brian Dorn, Mark Guzdial. 131-138 [doi]
- Self-explaining from video recordings as a methodology for learning programmingViviane Cristina Oliveira Aureliano. 139-140 [doi]
- Identification and measurement of computer science competencies in the area of software development, software engineering and programmingKathrin Bröker. 141-142 [doi]
- CS outreach to high school enrollment: bridging the gapVeronica Catete. 143-144 [doi]
- Adaptive parsons problems with discourse rulesBarbara J. Ericson. 145-146 [doi]
- Big data and data management: a topic for secondary computing educationAndreas Grillenberger. 147-148 [doi]
- Allegories for learning abstract programming conceptsJeisson Hidalgo-Céspedes. 149-150 [doi]
- Computational thinking curriculum development for upper elementary school classesCharlotte Hill. 151-152 [doi]
- The effect of robotics activities on students' learning and attitudesFatima Kaloti-Hallak. 153-154 [doi]
- Cartographies of practiceDaniel Knox. 155-156 [doi]
- Using case-based reasoning to improve the quality of feedback generated by automated grading systemsAngelo Kyrilov. 157-158 [doi]
- Promoting constructive mindsets for overcoming failure in computer science educationEmily Lovell. 159-160 [doi]
- What pedagogical content knowledge competencies do computer science pre-service teachers have?Melanie Margaritis. 161-162 [doi]
- Developing students' problem-posing skillsShitanshu Mishra. 163-164 [doi]
- User groups: community collaborative learningDaniel deOliveira, Ian Utting. 165-166 [doi]
- Evaluating diversity initiatives in computer science: do they have unintended side-effects?Elizabeth Patitsas. 167-168 [doi]
- Physical computing in computer science educationMareen Przybylla. 169-170 [doi]
- User models of reasoning and understanding in app inventorMark Sherman. 171-172 [doi]
- How can we improve notational expertise?Alistair Stead. 173-174 [doi]