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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
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
Evaluation of a Frame-based Programming Editor. 33-42 - Raina Mason
Flipping the Assessment of Cognitive Load: Why and How. 43-52 - Efthimia Aivaloglou
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
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
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
Benchmarking Introductory Programming Exams: Some Preliminary Results. 103-111 - Elizabeth Patitsas
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
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
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
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
Learning to Program: Gender Differences and Interactive Effects of Students' Motivation, Goals, and Self-Efficacy on Performance. 211-220 - Briana B. Morrison
Learning Loops: A Replication Study Illuminates Impact of HS Courses. 221-230
Papers: Tools, Techniques and Learning
- Yingjun Cao, Leo Porter
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
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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