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ICER 2016: Melbourne, VIC, Australia
- Judy Sheard, Josh Tenenberg, Donald Chinn, Brian Dorn:

Proceedings of the 2016 ACM Conference on International Computing Education Research, ICER 2016, Melbourne, VIC, Australia, September 8-12, 2016. ACM 2016, ISBN 978-1-4503-4449-4
Keynote Address
- Richard Buckland:

Affective and Cognitive - Designing Educational Experiences that Transform. 1
Papers: Perceptions of CS Study and Careers
- Michael Hewner, Shitanshu Mishra

:
When Everyone Knows CS is the Best Major: Decisions about CS in an Indian context. 3-11 - Markeya S. Peteranetz

, Abraham E. Flanigan, Duane F. Shell
, Leen-Kiat Soh:
Perceived Instrumentality and Career Aspirations in CS1 Courses: Change and Relationships with Achievement. 13-21 - Colleen M. Lewis, Ruth E. Anderson, Ken Yasuhara:

"I Don't Code All Day": Fitting in Computer Science When the Stereotypes Don't Fit. 23-32
Papers: Programming Tools and IDEs
- Thomas W. Price

, Neil C. C. Brown, Dragan Lipovac, Tiffany Barnes
, Michael Kölling
:
Evaluation of a Frame-based Programming Editor. 33-42 - Raina Mason

, Simon, Graham Cooper, Barry Wilks:
Flipping the Assessment of Cognitive Load: Why and How. 43-52 - Efthimia Aivaloglou

, Felienne Hermans:
How Kids Code and How We Know: An Exploratory Study on the Scratch Repository. 53-61
Papers: Understanding How Students Code
- David Hovemeyer

, Arto Hellas, Andrew Petersen
, Jaime Spacco
:
Control-Flow-Only Abstract Syntax Trees for Analyzing Students' Programming Progress. 63-72 - Maria Knobelsdorf, Christiane Frede:

Analyzing Student Practices in Theory of Computation in Light of Distributed Cognition Theory. 73-81 - Dastyni Loksa, Amy J. Ko:

The Role of Self-Regulation in Programming Problem Solving Process and Success. 83-91
Papers: Assessment
- Miranda C. Parker

, Mark Guzdial
, Shelly Engelman
:
Replication, Validation, and Use of a Language Independent CS1 Knowledge Assessment. 93-101 - Simon, Judy Sheard, Daryl J. D'Souza, Peter F. Klemperer, Leo Porter

, Juha Sorva, Martijn Stegeman, Daniel Zingaro:
Benchmarking Introductory Programming Exams: Some Preliminary Results. 103-111 - Elizabeth Patitsas

, Jesse Berlin, Michelle Craig, Steve M. Easterbrook
:
Evidence That Computer Science Grades Are Not Bimodal. 113-121
Papers: Errors and At Risk Students
- Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, William G. Griswold

, Leo Porter
:
Lightweight, Early Identification of At-Risk CS1 Students. 123-131 - Craig S. Miller, Amber Settle:

Some Trouble with Transparency: An Analysis of Student Errors with Object-oriented Python. 133-141 - Kelly Rivers, Erik Harpstead

, Kenneth R. Koedinger:
Learning Curve Analysis for Programming: Which Concepts do Students Struggle With? 143-151
Papers: Situating Computing Education Research
- Simon:

A Picture of the Growing ICER Community. 153-159 - Alex Lishinski, Jon Good, Phil Sands

, Aman Yadav
:
Methodological Rigor and Theoretical Foundations of CS Education Research. 161-169
Papers: Learning Experiences, Curriculum and Resources
- Kara Alexandra Behnke, Brittany Ann Kos, John K. Bennett:

Computer Science Principles: Impacting Student Motivation & Learning Within and Beyond the Classroom. 171-180 - Sebastian Dziallas, Sally Fincher:

Aspects of Graduateness in Computing Students' Narratives. 181-190 - Barbara J. Ericson

, Kantwon Rogers, Miranda C. Parker
, Briana B. Morrison
, Mark Guzdial
:
Identifying Design Principles for CS Teacher Ebooks through Design-Based Research. 191-200
Papers: Influences on Student Performance
- Adam S. Carter, Christopher D. Hundhausen:

With a Little Help From My Friends: An Empirical Study of the Interplay of Students' Social Activities, Programming Activities, and Course Success. 201-209 - Alex Lishinski, Aman Yadav

, Jon Good, Richard J. Enbody:
Learning to Program: Gender Differences and Interactive Effects of Students' Motivation, Goals, and Self-Efficacy on Performance. 211-220 - Briana B. Morrison

, Adrienne Decker, Lauren E. Margulieux
:
Learning Loops: A Replication Study Illuminates Impact of HS Courses. 221-230
Papers: Tools, Techniques and Learning
- Yingjun Cao, Leo Porter

, Daniel Zingaro:
Examining the Value of Analogies in Introductory Computing. 231-239 - Kyle James Harms, Jason Chen, Caitlin L. Kelleher:

Distractors in Parsons Problems Decrease Learning Efficiency for Young Novice Programmers. 241-250 - Cruz Izu

, Amali Weerasinghe, Cheryl Pope:
A Study of Code Design Skills in Novice Programmers using the SOLO taxonomy. 251-259
Doctoral Consortium
- Alex Lishinski:

Cognitive, Affective, and Dispositional Components of Learning Programming. 261-262 - Alireza Ahadi

:
Early Identification of Novice Programmers' Challenges in Coding Using Machine Learning Techniques. 263-264 - Amber Solomon:

The Role of Spatial Reasoning in Learning Computer Science. 265-266 - Andreas Grillenberger

:
Bringing the Innovations in Data Management to Secondary CS Education. 267-268 - Barbara J. Ericson

:
Dynamically Adaptive Parsons Problems. 269-270 - Elizabeth Patitsas:

Accounting for the Role of Policy in the Underrepresentation of Women in Computer Science. 271-272 - Francisco Enrique Vicente G. Castro

:
Pedagogy and Measurement of Program Planning Skills. 273-274 - Heather Bort:

Geospatial Analysis of Computer Science Course Offerings in Wisconsin Public High Schools. 275-276 - Jon Good:

Computational Thinking as a Computer Science Education Framework and the Related Effects on Gender Equity. 277-278 - Joshua Levi Weese

:
Mixed Methods for the Assessment and Incorporation of Computational Thinking in K-12 and Higher Education. 279-280 - Kavya Alse:

Teaching: Learning of Troubleshooting Skills for Computer Science Undergraduates. 281-282 - Kayla DesPortes:

Learning and Collaboration in Physical Computing. 283-284 - Pakapan Limtrairut, Stuart Marshall, Peter Andreae:

Mobile Learning Application for Computer Science Students: A Transactional Distance Perspective. 285-286 - Mareen Przybylla

:
Situating Physical Computing in Secondary CS Education. 287-288 - Sandra Schulz

:
Improving Scientific Inquiry through Physical Computing. 289-290 - Sebastian Dziallas:

Examining Graduateness through Narratives. 291-292 - Shitanshu Mishra:

Improving Students' Knowledge Integration in Data Structures. 293-294 - Soohyun Nam Liao:

Identify and Help At-Risk Students Before It Is Late. 295-296

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