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ICER 2019: Toronto, ON, Canada
- Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal:
Proceedings of the 2019 ACM Conference on International Computing Education Research, ICER 2019, Toronto, ON, Canada, August 12-14, 2019. ACM 2019, ISBN 978-1-4503-6185-9
Session 1: What the Students Think
- Sebastian Dziallas, Sally Fincher:
Accountable Disciplinary Knowledge in Computing Education: A Case-Comparative Approach. 1-9 - Colleen M. Lewis, Paul Bruno
, Jonathan Raygoza, Julia Wang:
Alignment of Goals and Perceptions of Computing Predicts Students' Sense of Belonging in Computing. 11-19 - Jamie Gorson
How Do Students Talk About Intelligence?: An Investigation of Motivation, Self-efficacy, and Mindsets in Computer Science. 21-29
Session 2: Teaching Assistants
- Diba Mirza
Undergraduate Teaching Assistants in Computer Science: A Systematic Literature Review. 31-40 - Yanyan Ren
What Help Do Students Seek in TA Office Hours? 41-49
Session 3: Evaluating Tools and Interventions
- Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price
Evaluating the Effectiveness of Parsons Problems for Block-based Programming. 51-59 - Samiha Marwan, Joseph Jay Williams, Thomas W. Price
An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. 61-70 - Iman YeckehZaare
A Spaced, Interleaved Retrieval Practice Tool that is Motivating and Effective. 71-79
Session 4: Theory and Cognition
- Lauren E. Margulieux
Spatial Encoding Strategy Theory: The Relationship between Spatial Skill and STEM Achievement. 81-90 - Brian A. Danielak
Deprecating Misconceptions through Context-Dependent Accounts of Productive Knowledge. 91-100 - Yasmin B. Kafai, Chris Proctor, Debora Lui:
From Theory Bias to Theory Dialogue: Embracing Cognitive, Situated, and Critical Framings of Computational Thinking in K-12 CS Education. 101-109
Session 5: Concepts and Comprehension
- Leo Porter
BDSI: A Validated Concept Inventory for Basic Data Structures. 111-119 - Rodrigo Duran
Exploring the Value of Student Self-Evaluation in Introductory Programming. 121-130 - John Wrenn, Shriram Krishnamurthi
Executable Examples for Programming Problem Comprehension. 131-139
Special Session
- Robert McCartney, Anthony V. Robins:
Special Session: The Best Papers from the First Five ICERs. 141-146
Session 6: Primary and Secondary Education
- Rebecca Vivian
Identifying Teachers' Technological Pedagogical Content Knowledge for Computer Science in the Primary Years. 147-155 - Tom McKlin, Taneisha Lee, Dana Linnell Wanzer
Accounting for Pedagogical Content Knowledge in a Theory of Change Analysis. 157-165 - Robert Whyte
Designing for Integrated K-5 Computing and Literacy through Story-making Activities. 167-175
Session 7: Reflecting on the Literature
- Kate Sanders, Judy Sheard, Brett A. Becker
Inferential Statistics in Computing Education Research: A Methodological Review. 177-185 - Lauri Malmi
Computing Education Theories: What Are They and How Are They Used? 187-197 - Monica M. McGill
Defining What Empirically Works Best: Dynamic Generation of Meta-Analysis for Computer Science Education. 199-207
Session 8: Looking at Students in Particular Classes
- Adrienne Decker, Lauren E. Margulieux
Using the SOLO Taxonomy to Understand Subgoal Labels Effect in CS1. 209-217 - Kayla DesPortes, Betsy DiSalvo
Trials and Tribulations of Novices Working with the Arduino. 219-227 - Filip Strömbäck
A Student's View of Concurrency - A Study of Common Mistakes in Introductory Courses on Concurrency. 229-237
Session 9: Quantitative Analyses
- Timothy Rafalski, Phillip Merlin Uesbeck, Cristina Panks-Meloney, Patrick Daleiden, William Allee, Amelia McNamara
A Randomized Controlled Trial on the Wild Wild West of Scientific Computing with Student Learners. 239-247 - Kyle Reestman, Brian Dorn
Native Language's Effect on Java Compiler Errors. 249-257 - Paul Denny, Brett A. Becker
Research This! Questions that Computing Educators Most Want Computing Education Researchers to Answer. 259-267
Session 10: Looking at Students in Unusual Environments
- Christine Alvarado, Sergio Villazon, Burçin Tamer:
Evaluating a Scalable Program for Undergraduate CS Research. 269-277 - Juho Leinonen
Admitting Students through an Open Online Course in Programming: A Multi-year Analysis of Study Success. 279-287
Poster Abstracts
- Taeko Ariga:
Can We Use Swift as a First Language to Teach Programming to Non-majors? 289 - Camille Berry, Marlon Walcott:
Reducing Caribbean's Students' "Code-Phobia" with Programming in Scratch. 291 - Cassandra Broneak, Chery Lucarelli, Jennifer Rosato
Exploring the Use of Video Reflection as a Professional Development Tool. 293 - Francisco Enrique Vicente Castro
Balancing Act: A Theory on the Interactions Between High-Level Task-thinking and Low-Level Implementation-thinking of Novice Programmers. 295 - Leigh Ann DeLyser, Stephanie Wortel-London, Lauren Wright, Anisa Bora:
Understanding our Human Resources: District LeadershipEfforts at Understanding CS Education Implementationin Their Own Buildings. 297 - Mohsen Dorodchi, Aileen Benedict, Erfan Al-Hossami
CS1 Scaffolded Activities: The Rise of Students' Engagement. 299 - Steven Paul Floyd
Doors, Walls and Windows?: The Gender Gap in Ontario High School Computer Science. 301 - Michael Guerzhoy:
Introduction to Data Science as a Pathway to Further Study in Computing. 303 - Jung Won Hur:
Too Much Technology (?): Pre-service Teachers' Perceptions, Concerns, and Interest in CS Education. 305 - Joseph Maguire
Mentoring Mentors in Cooperative Software Engineering Education Programmes. 307 - Shari Metcalf, Amanda Dickes, Karen Brennan, Chris Dede:
Design of an Agent-Based Visual Programming Tool for Elementary Ecosystem Science Learning. 309 - Aaron Milgram, Shruti Jain, Michelle Ichinco:
Identifying Learning Trajectories in Self-Directed Programming. 311 - Bahare Naimipour, Mark Guzdial, Tamara Shreiner:
Helping Social Studies Teachers to Design Learning Experiences Around Data: Participatory Design for New Teacher-Centric Programming Languages. 313 - Yutaro Ohashi, Hidemi Yamachi, Yasuhiro Murokoshi, Fumihiro Kumeno, Yasuhiro Tsujimura:
Designing Programming Education Course for Senior Citizens: Lifelong Learning in the Age of the 100-Year Life. 315 - Miranda C. Parker, Mark Guzdial:
A Statewide Quantitative Analysis of Computer Science: What Predicts CS in Georgia Public High School? 317 - Florence R. Sullivan, Catherine Tulungen, Sneha Veeragoudar, Emrah Pektas:
Supporting Elementary Teacher's Reflections on Equity in CS Education: A Case Study Approach. 319-320
Doctoral Consortium Abstracts
- Saira Anwar:
Impact of Educational Technology-Based Learning Environment on Students' Achievement Goals, Motivational Constructs, and Engagement. 321-322 - Briana Bettin
Toward Understanding and Enhancing Novice Students' Mental Models in Computer Science. 323-324 - Timothy Boye
The Collaborative Classroom in Computing Higher Education. 325-326 - Elizabeth Cole:
K-6 Introductory Programming: Why Early Years Learning through Play Matters. 327-328 - Steven Paul Floyd
A Qualitative Content Analysis of K-8 Coding Curriculum. 329-330 - Jamie Gorson:
Investigating the Relationship of Novice Programmers' Views of Intelligence with their Motivation and Persistence. 331-332 - Philipp Kather:
On Understanding Algorithm Comprehension and Development. 333-334 - Ayaan M. Kazerouni
Toward Continuous Assessment of the Programming Process. 335-336 - Annie Kelly:
Code Against the Machine: Design-based Research Towards More Equitable Computational Tools for Performing Artists. 337-338 - Nicholas Lytle
Towards Data-Driven Programming Problem Generation for Mastery Learning. 339-340 - Michael Alexander Miljanovic:
Enhancing Computer Science Education with Adaptive Serious Games. 341-342 - Sukanya Kannan Moudgalya:
Educator Supports in Broadening Participation in Computing. 343-344 - Line Have Musaeus
Developing Student's Computational Thinking through Agent-Based Modeling in Secondary Education. 345-346 - Joslenne Pena:
Seeding the Computational Skills of Diverse Non-programmers through Non-formal Workshops. 347-348 - Tomás Prucha:
Computer Science Teacher Preparation in an International Context: A Comparative Study. 349-350 - Jean Salac:
Personalized Assessment Worksheets for Scratch (PAWS): Exploring a Bridge between Interviews, Written Assessments, and Artifact Analysis. 351-352 - Sangho Suh:
Using Concreteness Fading to Model & Design Learning Process. 353-354 - Ethel Tshukudu
Towards a Model of Conceptual Transfer for Students Learning New Programming Languages. 355-356 - Sander Valstar:
Closing the Academia-Industry Gap in Undergraduate CS. 357-358 - Abigail Zimmermann-Niefield:
Machine Learning Education for Young People without Programming Experience. 359-360
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