• Implementing EarSketch - Connecting Classroom Implementation to Student Outcomes (Tom McKlin, Dana Wanzer, Taneisha Lee, Brian Magerko, Doug Edwards, Sabrina Grossman, Jason Freeman) (2019)   
• Survey Results on Why CS Faculty Adopt New Teaching Practices (Christopher Lynnly Hovey, Lecia Barker, Vaughan Nagy) (2019)   
• Special Session - Process Skills in Computer Science (Helen H. Hu, Chris Mayfield, Clifton Kussmaul) (2019)   
• Pensieve - Feedback on Coding Process for Novices (Lisa Yan, Annie Hu, Chris Piech) (2019)   
• Achieving Gender Balance through Creative Expression (William H. Bares, Bill Z. Manaris, Renée McCauley, Christine Moore) (2019)   
• Program Wars - A Card Game for Learning Programming and Cybersecurity Concepts (John Anvik, Vincent Côté, Jace Riehl) (2019)   
• Teaching Android Mobile Security (Jean-François Lalande, Valérie Viet Triem Tong, Pierre Graux, Guillaume Hiet, Wojciech Mazurczyk, Habiba Chaoui, Pascal Berthomé) (2019)   
• Student Performance in Computing Courses in the face of Growing Enrollments (Daniel T. Fokum, Daniel N. Coore, Eyton Ferguson, Gunjan Mansingh, Carl Beckford) (2019)   
• ACM Task Force on Data Science Education - Draft Report and Opportunity for Feedback (Andrea Danyluk, Paul Leidig, Lillian N. Cassel, Christian Servin) (2019)   
• Negotiating Varied Research Goals in Computing Education Research (Mark Guzdial, Colleen M. Lewis, Lauren E. Margulieux, Greg L. Nelson, Leo Porter) (2019)   
• 50 Years of CS1 at SIGCSE - A Review of the Evolution of Introductory Programming Education Research (Brett A. Becker, Keith Quille) (2019)   
• Embracing the Liberal Arts in an Interdisciplinary Data Analytics Program (Jessen T. Havill) (2019)   
• Can Sending First and Second Year Computing Students to Technical Conferences Help Retention? (Heather M. Wright, N. Burçin Tamer) (2019)   
• Software Testing in Introductory Programming Courses - A Systematic Mapping Study (Lilian Passos Scatalon, Jeffrey C. Carver, Rogério Eduardo Garcia, Ellen Francine Barbosa) (2019)   
• The New NSF Requirement for Broadening Participation in Computing (BPC) Plans - Community Advice and Resources (Tracy Camp, Wendy M. DuBow, Diane Levitt, Linda J. Sax, Valerie Taylor, Colleen M. Lewis) (2019)   
• What to Expect and What to Focus on in SQL Query Teaching (Toni Taipalus, Piia M. H. Perälä) (2019)   
• Story Programming - Explaining Computer Science Before Coding (Jennifer Parham-Mocello, Shannon Ernst, Martin Erwig, Lily Shellhammer, Emily Dominguez) (2019)   
• A Module-based Approach to Teaching Big data and Cloud Computing Topics at CS Undergraduate Level (Debzani Deb, M. Muztaba Fuad, Keith Irwin) (2019)   
• (Re)Validating Cognitive Introductory Computing Instruments (Ryan Bockmon, Stephen Cooper, Jonathan Gratch, Mohsen Dorodchi) (2019)   
• Experiential Learning of Software Project Management and Software Development via Course Collaboration (Stefan C. Christov, Mark E. Hoffman) (2019)   
• Analyzing Gamification Impact on a Mastery Learning Introductory Programming Course (Rafael G. de Pontes, Dalton Dario Serey Guerrero, Jorge C. A. de Figueiredo) (2019)   
• Harnessing the Wisdom of the Classes - Classsourcing and Machine Learning for Assessment Instrument Generation (Sam Saarinen, Shriram Krishnamurthi, Kathi Fisler, Preston Tunnell Wilson) (2019)   
• A Middle-School Code Camp Emphasizing Digital Humanities (Yesheng Chen, Zhen Chen, Shyamala Gumidyala, Annabella Koures, Seoyeon Lee, James Msekela, Halle Remash, Nolan Schoenle, Sarah Dahlby Albright, Samuel A. Rebelsky) (2019)   
• Infusing Computational Thinking Across Disciplines - Reflections & Lessons Learned (Lori L. Pollock, Chrystalla Mouza, Kevin R. Guidry, Kathleen Pusecker) (2019)   
• Living-Learning Community for Women in Computer Science at Rutgers (Rebecca N. Wright, Sally J. Nadler, Thu D. Nguyen, Cynthia N. Sanchez Gomez, Heather M. Wright) (2019)   
• Investigating the Impact of Group Size on Non-Programming Exercises in CS Education Courses (Lee Dee Miller, Leen-Kiat Soh, Markeya S. Peteranetz) (2019)   
• Stochastic Tree-Based Generation of Program-Tracing Practice Questions (Anderson Thomas, Troy Stopera, Pablo Frank-Bolton, Rahul Simha) (2019)   
• Automating Systems Course Unit and Integration Testing - Experience Report (Dee A. B. Weikle, Michael O. Lam, Michael S. Kirkpatrick) (2019)   
• A Topical Review of Evaluation Instruments for Computing Education (Adrienne Decker, Monica M. McGill) (2019)   
• Civic Engagement Across the Computing Curriculum (Mark Goadrich, Michael Goldweber, Matthew C. Jadud, S. Monisha Pulimood, Samuel A. Rebelsky) (2019)   
• Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses (Soohyun Nam Liao, Daniel Zingaro, Christine Alvarado, William G. Griswold, Leo Porter) (2019)   
• A Top-Ten List for 50-50 (Gloria Childress Townsend) (2019)   
• Understanding Learning Curves and Trajectories in CSS Layout (Meen Chul Kim, Thomas H. Park, Ruixue Liu, Andrea Forte) (2019)   
• Effects of a Pathfinding Program Visualization on Algorithm Development (Nicholas Lytle, Mark Floryan, Tiffany Barnes) (2019)   
• Podcast Highlights - Targeted Educational Videos From Repurposed Lecture-capture Footage (Mia Minnes, Christine Alvarado, Max Geislinger, Joyce Fang) (2019)   
• Broadening Participation in Computing - Putting Our Work in Context (Jennifer M. Blaney, Linda J. Sax, David Feldon, Ann Gates) (2019)   
• On the Effects of Active Learning Environments in Computing Education (Tyler Greer, Qiang Hao, Mengguo Jing, Bradley Barnes) (2019)   
• The Zones of Proximal Flow Tutorial - Designing Computational Thinking Cliffhangers (Ashok R. Basawapatna, Alexander Repenning, Mark Savignano) (2019)   
• Teaching Explicit Programming Strategies to Adolescents (Andrew J. Ko, Thomas D. LaToza, Stephen Hull, Ellen A. Ko, William Kwok, Jane Quichocho, Harshitha Akkaraju, Rishin Pandit) (2019)   
• Developing Soft and Technical Skills Through Multi-Semester, Remotely Mentored, Community-Service Projects (Janet Davis, Samuel A. Rebelsky) (2019)   
• Does Social Sensitivity Impact Virtual Teams? (Lisa L. Lacher, Cydnee Biehl) (2019)   
• Facing Backwards While Stumbling Forwards - The Future of Teaching Web Development (Randy Connolly) (2019)   
• SIGCSE Reads 2019 - Discussion and Q & A (Rebecca Bates, Valerie Summet, Nanette Veilleux, Judy Goldsmith, Naomi Kritzer) (2019)   
• Frequency of Instructor- and Student-Centered Teaching Practices in Introductory CS Courses (Christopher Lynnly Hovey, Lecia Barker, Margaret Luebs) (2019)   
• Shaping Curricular Guidelines for Associate-Degree Cybersecurity Programs (Cara Tang, Cindy S. Tucker, Christian Servin, Markus Geissler, Melissa Stange) (2019)   
• Trial by Flyer - Building Quadcopters From Scratch in a Ten-Week Capstone Course (Steven Swanson) (2019)   
• Autograding Distributed Algorithms in Networked Containers (Evan Maicus, Matthew Peveler, Stacy Patterson, Barbara Cutler) (2019)   
• The Reality of Inclusion - The Role of Relationships, Identity, and Academic Culture in Inclusive and Equitable Practices for Broadening Participation in Computing Education (Jamie Payton, Jamika D. Burge, Jill Denner) (2019)   
• Gender-balanced TAs from an Unbalanced Student Body (Amir Kamil, James Juett, Andrew DeOrio) (2019)   
• Building Computational Creativity in an Online Course for Non-Majors (Markeya S. Peteranetz, Leen-Kiat Soh, Elizabeth Ingraham) (2019)   
• Supporting Guided Inquiry with Cooperative Learning in Computer Organization (Yeajin Ham, Brandon Myers) (2019)   
• Active Learning with LEGO for Software Requirements (Stan Kurkovsky, Stephanie Ludi, Linda Clark) (2019)   
• Assessing Incremental Testing Practices and Their Impact on Project Outcomes (Ayaan M. Kazerouni, Clifford A. Shaffer, Stephen H. Edwards, Francisco Servant) (2019)   
• Pursuing the Dream - A 50-Year Perspective on American Society, Technology, and Inclusion in Computing (Freeman A. Hrabowski) (2019)   
• The Error Landscape - Characterizing the Mistakes of Novice Programmers (Rebecca Smith, Scott Rixner) (2019)   
• Defining and Designing Computer Science Education in a K12 Public School District (Chris Proctor, Maxwell Bigman, Paulo Blikstein) (2019)   
• CS Education Then and Now - Recollections and Reflections (Melinda McDaniel, John Cigas, Briana B. Morrison, Henry Walker) (2019)   
• A Middle-School Camp Emphasizing Data Science and Computing for Social Good (Caelin Bryant, Yesheng Chen, Zhen Chen, Jonathan Gilmour, Shyamala Gumidyala, Beatriz Herce-Hagiwara, Annabella Koures, Seoyeon Lee, James Msekela, Anh Thu Pham, Halle Remash, Marli Remash, Nolan Schoenle, Jonah Zimmerman, Sarah Dahlby Albright, Samuel A. Rebelsky) (2019)   
• A Learning Platform for SQL Injection (Nada Basit, Abdeltawab M. Hendawi, Joseph Chen, Alexander Sun) (2019)   
• Understanding Who Enrolls in Introductory Computing Courses at Community Colleges (Beth A. Quinn, Wendy M. DuBow, David Sul) (2019)   
• Approaches for Coordinating eTextbooks, Online Programming Practice, Automated Grading, and More into One Course (Margaret Ellis, Clifford A. Shaffer, Stephen H. Edwards) (2019)   
• An Approach to Generate Virtual Tutors for Game Programming Classes (Alan de Oliveira Santana, Eduardo Aranha) (2019)   
• Student-Generated Videos for Promoting Better Attitudes towards Cryptography (Ana I. González-Tablas, Pablo Martín-González) (2019)   
• Teachers' Experiences of using PRIMM to Teach Programming in School (Sue Sentance, Jane Waite, Maria Kallia) (2019)   
• Exploring the Impact of Worked Examples in a Novice Programming Environment (Rui Zhi, Thomas W. Price, Samiha Marwan, Alexandra Milliken, Tiffany Barnes, Min Chi) (2019)   
• Developing Implementation Measures for K-12 Computer Science Curriculum Materials (Daisy W. Rutstein, Yuning Xu, Kevin McElhaney, Marie A. Bienkowski) (2019)   
• Gamifying a Software Testing Course with Code Defenders (Gordon Fraser, Alessio Gambi, Marvin Kreis, José Miguel Rojas) (2019)   
• Allowing and Fully Supporting Multiple Programming Languages in a Computer Graphics Course - An Experience (Amit Shesh) (2019)   
• Where Are We Now? - Results from a National Study of Computer Science Teachers and Teaching (Eric R. Banilower, Evelyn M. Gordon) (2019)   
• An Assessment of Oral Exams in Introductory CS (Peter Ohmann) (2019)   
• OneUp - Engaging Students in a Gamified Data Structures Course (Darina Dicheva, Keith Irwin, Christo Dichev) (2019)   
• Reducing Instructor Workload in an Introductory Robotics Course via Computational Design (Devon J. Merrill, Steven Swanson) (2019)   
• Special Session - AI for K-12 Guidelines Initiative (David S. Touretzky, Fred Martin, Deborah W. Seehorn, Cynthia Breazeal, Tess Posner) (2019)   
• What Have We Talked About? (Austin Cory Bart, Clifford A. Shaffer) (2019)   
• POGIL in Computer Science - Faculty Motivation and Challenges (Aman Yadav, Clif Kussmaul, Chris Mayfield, Helen H. Hu) (2019)   
• ');DROP TABLE textbooks;- - An Argument for SQL Injection Coverage in Database Textbooks (Cynthia Taylor, Saheel Sakharkar) (2019)   
• CS Principles Higher Education Pathways (Crystal Furman, Owen L. Astrachan, Daniel D. Garcia, David Musicant, Jennifer Rosato) (2019)   
• Cybersecurity Program Accreditation - Benefits and Challenges (Rajendra K. Raj, Vijay Anand, David S. Gibson, Siddharth Kaza, Andrew Phillips) (2019)   
• Experiences Using Heat Maps to Help Students Find Their Bugs - Problems and Solutions (Bob Edmison, Stephen H. Edwards) (2019)   
• Redesigning a Software Development Course as a Preparation for a Capstone - An Experience Report (Yekaterina Kharitonova, Yi Luo, Jeho Park) (2019)   
• PythonSneks - An Open-Source, Instructionally-Designed Introductory Curriculum with Action-Design Research (Austin Cory Bart, Allie Sarver, Michael Friend, Larry Cox II) (2019)   
• Measuring Unit Test Accuracy (Kevin Buffardi, Pedro Valdivia, Destiny Rogers) (2019)   
• How Many Abilities Can We Measure in Computational Thinking? - A Study on Bebras Challenge (Ana Liz Souto O. de Araujo, Wilkerson de L. Andrade, Dalton Dario Serey Guerrero, Monilly Ramos Araujo Melo) (2019)   
• Perceived Benefits and Challenges of Learning Startup Methodologies for Software Engineering Students (Jorge Melegati, Rafael Chanin, Xiaofeng Wang 0001, Afonso Sales, Rafael Prikladnicki) (2019)   
• uAssign - Scalable Interactive Activities for Teaching the Unix Terminal (Jacob Bailey, Craig B. Zilles) (2019)   
• Pragmatic Software Testing Education (Maurício Finavaro Aniche, Felienne Hermans, Arie van Deursen) (2019)   
• On the Effect of Question Ordering on Performance and Confidence in Computer Science Examinations (Brian Harrington 0001, Jingyiran Li, Mohamed Moustafa, Marzieh Ahmadzadeh, Nick Cheng) (2019)   
• Beauty and Joy of Computing - 2016-17 Findings from an AP CS Principles course (June Mark, Kelsey Klein) (2019)   
• Including Embedded Systems in CS - Why? When? and How? (Bill Siever, Roger D. Chamberlain, Elliott Forbes, Ingrid Russell) (2019)   
• First Things First - Providing Metacognitive Scaffolding for Interpreting Problem Prompts (James Prather, Raymond Pettit, Brett A. Becker, Paul Denny, Dastyni Loksa, Alani Peters, Zachary Albrecht, Krista Masci) (2019)   
• Facilitating Course Assessment with a Competitive Programming Platform (Daniel Coore, Daniel Fokum) (2019)   
• On the Fairness of Multiple-Variant Multiple-Choice Examinations (Paul Denny, Sathiamoorthy Manoharan, Ulrich Speidel, Giovanni Russello, Angela Chang) (2019)   
• Exploring the Applicability of Simple Syntax Writing Practice for Learning Programming (Antti Leinonen, Henrik Nygren, Nea Pirttinen, Arto Hellas, Juho Leinonen) (2019)   
• Exploring our Privilege - Activities and Discussions (Miranda C. Parker, Jason T. Black, Helen H. Hu, Colleen M. Lewis) (2019)   
• MYR - A Web-Based Platform for Teaching Coding Using VR (Christopher Berns, Grace Chin, Joel Savitz, Jason Kiesling, Fred Martin) (2019)   
• The PyramidSnapshot Challenge - Understanding Student Process from Visual Output of Programs (Lisa Yan, Nick McKeown, Chris Piech) (2019)   
• The Error Behind The Message - Finding the Cause of Error Messages in Python (Tobias Kohn) (2019)   
• Captioning Online Course Videos - An Investigation into Knowledge Retention and Student Perception (Michael Whitney, Bryan Dallas) (2019)   
• Stride in BlueJ - Computing for All in an Educational IDE (Michael Kölling, Neil C. C. Brown, Hamza Hamza, Davin McCall) (2019)   
• Motivating Students Beyond Course Requirements with a Serious Game (Stacey Watson, Heather Richter Lipford) (2019)   
• Food for Thought - Supporting African American Women's Computational Algorithmic Thinking in an Intro CS Course (Yolanda A. Rankin, Jakita O. Thomas, India Irish) (2019)   
• Development of a Lean Computational Thinking Abilities Assessment for Middle Grades Students (Eric N. Wiebe, Jennifer E. London, Osman Aksit, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester) (2019)   
• Rethinking Debugging as Productive Failure for CS Education (Yasmin B. Kafai, David DeLiema, Deborah A. Fields, Gary Lewandowski, Colleen Colleen) (2019)   
• An Analysis of Using Many Small Programs in CS1 (Joe Michael Allen, Frank Vahid, Alex D. Edgcomb, Kelly Downey, Kris Miller) (2019)   
• Computing Education as a Foundation for 21st Century Literacy (Mark Guzdial) (2019)   
• Coding Demonstration Videos for CS1 (Ben Stephenson) (2019)   
• A Novel Course in Data Systems with Minimal Prerequisites (Thomas C. Bressoud, Gavin Thomas) (2019)   
• Camp or College? (Quinn Burke, Cinamon Sunrise Bailey) (2019)   
• This is What Diversity Looks Like - Making CS Curriculum Culturally Relevant for Spanish-speaking Communities (Joseph Carroll-Miranda, Patricia Ordonez-Franco, Edusmildo Orozco, Milagros Bravo, Michelle Borrero, Luis Lopez, Gerriann Houser, Eliud Gerena, Dale Reed, Brenda Santiago, Agustin Corchado, Andreshka Santana) (2019)   
• Comparing Jailed Sandboxes vs Containers Within an Autograding System (Matthew Peveler, Evan Maicus, Barbara Cutler) (2019)   
• Propagating Educational Innovations (Heather Bort, David P. Bunde, Zack Butler, Christopher Lynnly Hovey, Cynthia Taylor) (2019)   
• Blocks4All - Making Blocks-Based Programming Languages Accessible for Children with Visual Impairments (Lauren R. Milne, Richard E. Ladner) (2019)
• Code Crafting Curriculum - A Textile Crafts Approach to Computer Science (Ursula Wolz, Seoyen (Stella) Lee, James Mulligan, Paulina Valdivieso) (2019)
• POGIL in Computer Science for Beginners and Experts (Debra Duke, Margarethe Posch) (2019)
• Incorporating Computing for Social Good in Computing Education (Gregory W. Hislop, Darci Burdge, Michael Goldweber, Samuel A. Rebelsky, Stewart Weiss) (2019)
• Encouraging Reflection in Support of Learning Data Structures (Cheryl Resch, Christina Gardner-McCune) (2019)
• Teaching RSA - What Happens When One of Your Primes Isn't? (Barry Fagin) (2019)
• Exploring the Mental Models of Undergraduate Programmers in the Context of Linked Lists (Harrison Chotzen, Alasdair J. Johnson, Parth M. Desai) (2019)
• SciGirls Code - Creative Robotics for Tween Girls in Out of School Time (Joan Freese, Heather Benedict, Sarah Carter, Katie Hessen, Rita Karl, Karen Peterson, Cassandra Scharber) (2019)
• Educational Experiences of Blind Programmers (Seite 759 - 765) (Catherine M. Baker, Cynthia L. Bennett, Richard E. Ladner) (2019)
• Perfect Match - Facilitating Study Partner Matching (Seite 1102 - 1108) (Tam Nguyen Thanh, Michael Morgan, Matthew Butler 0002, Kim Marriott) (2019)   
• A Teacher Workshop for Introducing Computational Thinking in Rural and Vulnerable Environments (Seite 1143 - 1149) (Jocelyn Simmonds, Francisco J. Gutierrez, Cecilia Casanova, Cecilia Sotomayor, Nancy Hitschfeld) (2019)
• A Cultural Computing Curriculum (Seite 1171 - 1175) (James Davis 0002, Michael Lachney, Zoe Zatz, William Babbitt, Ron Eglash) (2019)
• Using and Customizing Open-Source Runestone Ebooks for Computer Science Classes (Seite 1240 - 1240) (Barbara J. Ericson, Jaclyn Cohen, Bradley N. Miller) (2019)
• Architecting Serverless Microservices on the Cloud with AWS (Seite 1240 - 1240) (Ariel Ortiz) (2019)
• Booting Into AI - Startup Instructions for Teaching Artificial Intelligence (Seite 1242 - 1243) (Brian K. Hare, David Heise) (2019)
• Toward an Anti-Racist Theory of Computational Curricula (Seite 1244 - 1244) (Matt Jadud, Jamika Burge, Jeffrey Forbes, Celine Latulipe, Yolanda Rankin, Kristin A. Searle, Ben Shapiro) (2019)
• Building Bridges for Data Science Education (Seite 1249 - 1249) (Mine Çetinkaya-Rundel, Andrea Danyluk, Jeff Forbes, Michael Posner) (2019)
• Mobile App Development - Android or iOS? An Experience Report from Teaching Both Platforms (Seite 1265 - 1265) (Gina Sprint) (2019)
• Evaluating Student Engagement towards Integrating Parallel and Distributed Computing (PDC) Topics in Undergraduate Level Computer Science Curriculum (Seite 1269 - 1269) (Mary Smith, Srishti Srivastava) (2019)
• Building Computer Science K-12 PLCs in Rural Communities (Seite 1275 - 1275) (Allison Sauppé, Samantha S. Foley, Thomas Gendreau, Joshua T. Hertel, Mao Zheng) (2019)
• More than a Bootcamp, Less than a Degree - A One-Year Program to Retrain Industry Employees as Developers (Seite 1284 - 1284) (Gail Carmichael) (2019)
• Promoting Mastery Learning in an Introductory Programming Course (Seite 1285 - 1285) (Paul Salvador Inventado) (2019)
• 5 Lessons on Supporting CSforAll in K12 School Districts (Seite 1285 - 1285) (Rafi Santo) (2019)
• A Qualitative Analysis of Students' Understanding of Conditional Control Structures (Seite 1293 - 1293) (Shannon Collier, Mara Downing) (2019)
• Understanding the Usage and Familiarity of Home Network Terminology Using Open Card Sorting Analysis (Seite 1293 - 1293) (Jackie Chan, Kirby Mitchell) (2019)

• Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018. (Andreas Mühling, Quintin I. Cutts) (2018)
  • Infusing computational thinking into middle grade science classrooms - lessons learned (Veronica Cateté, Nicholas Lytle, Yihuan Dong, Danielle Boulden, Bita Akram, Jennifer Houchins, Tiffany Barnes, Eric N. Wiebe, James C. Lester, Bradford W. Mott, Kristy Boyer) (2018)   
• SIGCSE 2019 - Proceedings of the 50th ACM Technical Symposium on Computer Science Education, SIGCSE 2019, Minneapolis, MN, USA, February 27 - March 02, 2019 (Elizabeth K. Hawthorne, Manuel A. Pérez-Quiñones, Sarah Heckman, Jian Zhang 0036) (2019)
  • Frequency of Instructor- and Student-Centered Teaching Practices in Introductory CS Courses (Christopher Lynnly Hovey, Lecia Barker, Margaret Luebs) (2019)   
• Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE 2019, Glasgow, Scotland, UK, October 23-25, 2019 (2019)
  • Cognitive Correlates of Computational Thinking - Evaluation of a Blended Unplugged/Plugged-In Course (Katerina Tsarava, Luzia Leifheit, Manuel Ninaus, Marcos Román-González, Martin V. Butz, Jessika Golle, Ulrich Trautwein, Korbinian Moeller) (2019)   
  • The role of assessment and reward in non-formal computing settings - (Work in progress) (Oliver Quinlan, Sue Sentance, Jonathan Dickins, Rik Cross) (2019)
  • From 'Use' to 'Choose' - Scaffolding CT Curricula and Exploring Student Choices while Programming (Practical Report) (Nicholas Lytle, Veronica Cateté, Amy Isvik, Danielle Boulden, Yihuan Dong, Eric N. Wiebe, Tiffany Barnes) (2019)   
• ICER 2020 - International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020 (Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley) (2020)
  • What Do We Think We Think We Are Doing? - Metacognition and Self-Regulation in Programming (James Prather, Brett A. Becker, Michelle Craig, Paul Denny, Dastyni Loksa, Lauren E. Margulieux) (2020)   
  • Programming Versus Natural Language - On the Effect of Context on Typing in CS1 (John Edwards, Juho Leinonen 0001, Chetan Birthare, Albina Zavgorodniaia, Arto Hellas) (2020)   
  • Construction of a Taxonomy for Tools, Languages, and Environments across Computing Education (Monica M. McGill, Adrienne Decker) (2020)   
  • Hedy - A Gradual Language for Programming Education (Felienne Hermans) (2020)   
  • Syntax Exercises in CS1 (John Edwards, Joseph Ditton, Dragan Trninic, Hillary Swanson, Shelsey Sullivan, Chad D. Mano) (2020)   
  • Diagramming as a Strategy for Primary/Elementary-Age Program Comprehension (Jean Salac) (2020)   
  • Exploring Student Behavior Using the TIPP&SEE Learning Strategy (Diana Franklin, Jean Salac, Zachary Crenshaw, Saranya Turimella, Zipporah Klain, Marco Anaya, Cathy Thomas) (2020)   
  • Data Science Education - Curriculum and pedagogy (Koby Mike) (2020)   
  • Student Perceptions of Fairness and Security in a Versioned Programming Exam (Chinedu Emeka, Craig B. Zilles) (2020)   
  • Theories and Models of Emotions, Attitudes, and Self-Efficacy in the Context of Programming Education (Lauri Malmi, Judy Sheard, Päivi Kinnunen, Simon, Jane E. Sinclair) (2020)   
• Failure to Disrupt - Why Technology Alone Can’t Transform Education (Justin Reich) (2020)  
  • 5. The Curse of the Familiar  
• WiPSCE '20 - Workshop in Primary and Secondary Computing Education, Virtual Event, Germany, October 28-30, 2020 (Torsten Brinda, Michal Armoni) (2020)
  • Investigating the relationship between programming and natural languages within the primm framework (Alex Parry) (2020)   
  • A study of high school computer science teacher confidence levels (Clare McInerney, Chris Exton, Mike Hinchey) (2020)   
• Informatics in Schools: Engaging Learners in Computational Thinking - 13th International Conference, ISSEP 2020, Tallinn, Estonia, November 16-18, 2020 Proceedings (Külli Kori, Mart Laanpere) (2020)   
  • Ready for Computing Science? - A Closer Look at Personality, Interests and Self-concept of Girls and Boys at Secondary Level (Andreas Bollin, Max Kesselbacher, Corinna Mößlacher) (2020)   
• Computerized adaptive assessment of understanding of programming concepts in primary school children (Sally A. M. Hogenboom, Felienne Hermans, Han L. J. Van der Maas) (2021)   
• Programming in K–6 - Understanding Errors and Supporting Autonomous Learning (Jacqueline Staub) (2021)   
• Computational Thinking in Education - A Pedagogical Perspective (Aman Yadav, Ulf Dalvad Berthelsen) (2021)  
  • 11. Computational Thinking as District Strategy - Moving the CS vs CT Debate from the Ivory Tower to the Schoolhouse (Rafi Santo, June Ahn, Leigh Ann DeLyser)
• The Robots Are Coming - Exploring the Implications of OpenAI Codex on Introductory Programming (James Finnie-Ansley, Paul Denny, Brett A. Becker, Andrew Luxton-Reilly, James Prather) (2022)   
• Launching Registered Report Replications in Computer Science Education Research (Neil Brown, Eva Marinus, Aleata Hubbard Cheuoua) (2022)   
• Building a gender-inclusive secondary computer science program - teacher led and stakeholder supported (Michael Karlin, Anne T. Ottenbreit-Leftwich, Yin-Chan Liao) (2022)   
• WiPSCE '22 - The 17th Workshop in Primary and Secondary Computing Education, Morschach, Switzerland, 31 October 2022 - 2 November 2022 (Mareen Grillenberger, Marc Berges) (2022)  
  • A Model for Infusing Computational Thinking Skills at Teacher Colleges in a Developing Country (Jocelyn Simmonds, Francisco J. Gutierrez, Nancy Hitschfeld, Catalina Torrent, Cecilia Casanova, Sebastián Toro-Guajardo, Valentín Muñoz) (2022)   
• Past, Present and Future of Computing Education Research (Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr) (2023)   
  • The Evolution of Computing Education Research: A Meta-Analytic Perspective (Lauri Malmi, Jane Sinclair, Judy Sheard, Simon, Päivi Kinnunen)   
  • The Venues that Shaped Computing Education Research - Dissemination Under the Lens   
  • A Scientometric Perspective on the Evolution of the SIGCSE Technical Symposium: 1970–2021 (Sonsoles López-Pernas, Mikko Apiola, Mohammed Saqr, Arnold Pears, Matti Tedre)   
  • Computing Education Research in Baltic Countries (Valentina Dagienė, Mart Laanpere, Juris Borzovs)   
• WIPSCE '23 - The 18th WiPSCE Conference on Primary and Secondary Computing Education Research (Sue Sentance, Mareen Grillenberger) (2023)
  • Developing a Computer Science Content Knowledge Test for 10th Grade Students (Tobias Bahr) (2023)   
• DELFI 2024 (Sandra Schulz, Natalie Kiesler) (2024)   
  • Enhanced Program Comprehension - Individualized Learning of Code Tracing with the Feedback Buddy (Nadine Nicole Koch, Ann-Kathrin Kapfenstein, Niklas Meißner, Maria Wirzberger) (2024)   

Beat hat diese Konferenz-Proceedings während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt weder ein physisches noch ein digitales Exemplar. Aufgrund der vielen Verknüpfungen im Biblionetz scheint er sich intensiver damit befasst zu haben.