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ORCIDPaul Denny 0001
Person information
- affiliation: University of Auckland, New Zealand
Other persons with the same name
- Paul Denny
- Paul Denny 0002
![[0000-0003-4659-6893]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4659-6893")
— European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, UK
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2020 – today
- 2023
[j11]Nea Pirttinen, Paul Denny, Arto Hellas, Juho Leinonen:
Lessons Learned From Four Computing Education Crowdsourcing Systems. IEEE Access 11: 22982-22992 (2023)- [j10]Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper:
Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. Comput. Educ. Artif. Intell. 5: 100151 (2023) - [j9]Theresia Devi Indriasari, Paul Denny, Danielle M. Lottridge, Andrew Luxton-Reilly:
Gamification improves the quality of student peer code review. Comput. Sci. Educ. 33(3): 458-482 (2023) - [j8]Stephen R. Piccolo, Paul Denny, Andrew Luxton-Reilly, Samuel H. Payne, Perry G. Ridge:
Evaluating a large language model's ability to solve programming exercises from an introductory bioinformatics course. PLoS Comput. Biol. 19(9) (2023) - [j7]Diana Franklin, Kathi Fisler, Paul Denny, Margaret Hamilton:
ICER 2023 Recap. ACM SIGCSE Bull. 55(4): 5 (2023) - [c101]Andrew Luxton-Reilly, Ewan D. Tempero, Nalin A. G. Arachchilage, Angela Chang, Paul Denny, Allan Fowler, Nasser Giacaman, Igor Kontorovich, Danielle M. Lottridge, Sathiamoorthy Manoharan, Shyamli Sindhwani, Paramvir Singh, Ulrich Speidel, Sudeep Stephen, Valerio Terragni, Jacqueline Whalley, Burkhard Wuensche, Xinfeng Ye:
Automated Assessment: Experiences From the Trenches. ACE 2023: 1-10 - [c100]Yulia Pechorina, Keith Anderson, Paul Denny:
Metacodenition: Scaffolding the Problem-Solving Process for Novice Programmers. ACE 2023: 59-68 - [c99]James Finnie-Ansley, Paul Denny, Andrew Luxton-Reilly, Eddie Antonio Santos, James Prather, Brett A. Becker:
My AI Wants to Know if This Will Be on the Exam: Testing OpenAI's Codex on CS2 Programming Exercises. ACE 2023: 97-104 - [c98]Flynn Fromont, Hiruna Jayamanne, Paul Denny:
Exploring the Difficulty of Faded Parsons Problems for Programming Education. ACE 2023: 113-122 - [c97]Steven Moore, Richard Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Chris Brooks, John C. Stamper:
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) 2023: 32-37 - [c96]Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Automated Program Repair Using Generative Models for Code Infilling. AIED 2023: 798-803 - [c95]Paul Denny, Brett A. Becker, Juho Leinonen, James Prather:
Chat Overflow: Artificially Intelligent Models for Computing Education - renAIssance or apocAIypse? ITiCSE (1) 2023: 3-4 - [c94]Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas:
Comparing Code Explanations Created by Students and Large Language Models. ITiCSE (1) 2023: 124-130 - [c93]Hussel Suriyaarachchi, Alaeddin Nassani, Paul Denny, Suranga Nanayakkara:
Using Sensor-Based Programming to Improve Self-Efficacy and Outcome Expectancy for Students from Underrepresented Groups. ITiCSE (1) 2023: 187-193 - [c92]Brent N. Reeves, Sami Sarsa, James Prather, Paul Denny, Brett A. Becker, Arto Hellas, Bailey Kimmel, Garrett Powell, Juho Leinonen:
Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. ITiCSE (1) 2023: 299-305 - [c91]James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. ITiCSE (2) 2023: 561-562 - [c90]Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, Eddie Antonio Santos:
Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation. SIGCSE (1) 2023: 500-506 - [c89]James Prather, Paul Denny, Brett A. Becker, Robert Nix, Brent N. Reeves, Arisoa S. Randrianasolo, Garrett Powell:
First Steps Towards Predicting the Readability of Programming Error Messages. SIGCSE (1) 2023: 549-555 - [c88]Juho Leinonen, Arto Hellas, Sami Sarsa, Brent N. Reeves, Paul Denny, James Prather, Brett A. Becker:
Using Large Language Models to Enhance Programming Error Messages. SIGCSE (1) 2023: 563-569 - [c87]Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen:
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. SIGCSE (1) 2023: 931-937 - [c86]Zac Pullar-Strecker, Filipe Dwan Pereira, Paul Denny, Andrew Luxton-Reilly, Juho Leinonen:
G is for Generalisation: Predicting Student Success from Keystrokes. SIGCSE (1) 2023: 1028-1034 - [c85]Paul Denny, Viraj Kumar, Nasser Giacaman:
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language. SIGCSE (1) 2023: 1136-1142 - [c84]Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa:
Automatically Generating CS Learning Materials with Large Language Models. SIGCSE (2) 2023: 1176 - [c83]Stephen MacNeil, Joanne Kim, Juho Leinonen, Paul Denny, Seth Bernstein, Brett A. Becker, Michel Wermelinger, Arto Hellas, Andrew Tran, Sami Sarsa, James Prather, Viraj Kumar:
The Implications of Large Language Models for CS Teachers and Students. SIGCSE (2) 2023: 1255 - [e5]Steven Moore, John C. Stamper, Richard Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Chris Brooks:
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023. CEUR Workshop Proceedings 3487, CEUR-WS.org 2023 [contents] - [e4]Kathi Fisler, Paul Denny, Diana Franklin, Margaret Hamilton:
Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1, ICER 2023, Chicago, IL, USA, August 7-11, 2023. ACM 2023, ISBN 978-1-4503-9976-0 [contents] - [e3]Kathi Fisler, Paul Denny, Diana Franklin, Margaret Hamilton:
Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2, ICER 2023, Chicago, IL, USA, August 7-11, 2023. ACM 2023, ISBN 978-1-4503-9975-3 [contents] - [e2]Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks:
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), New York City, United States, June 1, 2022. CEUR Workshop Proceedings 3410, CEUR-WS.org 2023 [contents] - [i26]Stephen R. Piccolo, Paul Denny, Andrew Luxton-Reilly, Samuel H. Payne, Perry G. Ridge:
Many bioinformatics programming tasks can be automated with ChatGPT. CoRR abs/2303.13528 (2023) - [i25]James Prather, Brent N. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett Powell, James Finnie-Ansley, Eddie Antonio Santos:
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers. CoRR abs/2304.02491 (2023) - [i24]Yvonne Chua, Sankha Cooray, Juan Pablo Forero Cortés, Paul Denny, Sonia Dupuch, Dawn L. Garbett, Alaeddin Nassani, Jiashuo Cao, Hannah Qiao, Andrew Reis, Deviana Reis, Philipp M. Scholl, Priyashri Kamlesh Sridhar, Hussel Suriyaarachchi, Fiona Taimana, Vanessa Tang, Chamod Weerasinghe, Elliott Wen, Michelle Wu, Qin Wu, Haimo Zhang, Suranga Nanayakkara:
Striving for Authentic and Sustained Technology Use In the Classroom: Lessons Learned from a Longitudinal Evaluation of a Sensor-based Science Education Platform. CoRR abs/2304.03450 (2023) - [i23]Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas:
Comparing Code Explanations Created by Students and Large Language Models. CoRR abs/2304.03938 (2023) - [i22]Hussel Suriyaarachchi, Alaeddin Nassani, Paul Denny, Suranga Nanayakkara:
Using Sensor-Based Programming to Improve Self-Efficacy and Outcome Expectancy for Students from Underrepresented Groups. CoRR abs/2304.06279 (2023) - [i21]Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa:
Computing Education in the Era of Generative AI. CoRR abs/2306.02608 (2023) - [i20]Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper:
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. CoRR abs/2306.06386 (2023) - [i19]Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa:
Human vs Machine: Comparison of Student-generated and AI-generated Educational Content. CoRR abs/2306.10509 (2023) - [i18]Paul Denny, Juho Leinonen, James Prather, Andrew Luxton-Reilly, Thezyrie Amarouche, Brett A. Becker, Brent N. Reeves:
Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators. CoRR abs/2307.16364 (2023) - [i17]Mark H. Liffiton, Brad Sheese, Jaromír Savelka, Paul Denny:
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. CoRR abs/2308.06921 (2023) - [i16]Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu:
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. CoRR abs/2309.10444 (2023) - [i15]Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu:
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. CoRR abs/2309.13500 (2023) - [i14]James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Peterson, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
The Robots are Here: Navigating the Generative AI Revolution in Computing Education. CoRR abs/2310.00658 (2023) - [i13]Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny:
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. CoRR abs/2310.16984 (2023) - [i12]Jaromír Savelka, Paul Denny, Mark H. Liffiton, Brad Sheese:
Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models. CoRR abs/2310.20105 (2023) - [i11]Paul Denny, Juho Leinonen, James Prather, Andrew Luxton-Reilly, Thezyrie Amarouche, Brett A. Becker, Brent N. Reeves:
Prompt Problems: A New Programming Exercise for the Generative AI Era. CoRR abs/2311.05943 (2023) - [i10]Yan Hua, Paul Denny, Katerina Taskova, Jörg Wicker:
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends. CoRR abs/2311.10777 (2023) - 2022
- [j6]Dastyni Loksa, Lauren E. Margulieux, Brett A. Becker, Michelle Craig, Paul Denny, Raymond Pettit, James Prather:
Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use. ACM Trans. Comput. Educ. 22(4): 39:1-39:31 (2022) - [c82]Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. AAAI 2022: 12826-12834 - [c81]James Finnie-Ansley, Paul Denny, Brett A. Becker, Andrew Luxton-Reilly, James Prather:
The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming. ACE 2022: 10-19 - [c80]Hussel Suriyaarachchi, Paul Denny, Juan Pablo Forero Cortés, Chamod Weerasinghe, Suranga Nanayakkara:
Primary School Students Programming with Real-Time Environmental Sensor Data. ACE 2022: 85-94 - [c79]Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen:
Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models. ICER (1) 2022: 27-43 - [c78]James Prather, Lauren E. Margulieux, Jacqueline Whalley, Paul Denny, Brent N. Reeves, Brett A. Becker, Paramvir Singh, Garrett B. Powell, Nigel Bosch:
Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation. ICER (1) 2022: 164-176 - [c77]Barbara J. Ericson, Paul Denny, James Prather, Rodrigo Duran, Arto Hellas, Juho Leinonen, Craig S. Miller, Briana B. Morrison, Janice L. Pearce, Susan H. Rodger:
Parsons Problems and Beyond: Systematic Literature Review and Empirical Study Designs. ITiCSE-WGR 2022: 191-234 - [c76]Cruz Izu, Paul Denny, Sayoni Roy:
A Resource to Support Novices Refactoring Conditional Statements. ITiCSE (1) 2022: 344-350 - [c75]Barbara J. Ericson, Paul Denny, James Prather, Rodrigo Duran, Arto Hellas, Juho Leinonen, Craig S. Miller, Briana B. Morrison, Janice L. Pearce, Susan H. Rodger:
Planning a Multi-institutional and Multi-national Study of the Effectiveness of Parsons Problems. ITiCSE (2) 2022: 576-577 - [c74]Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen:
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. LSGCS@L@S 2022: 3-19 - [c73]Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. L@S 2022: 259-262 - [c72]Brett A. Becker, Daniel Gallagher, Paul Denny, James Prather, Colleen Gostomski, Kelli Norris, Garrett B. Powell:
From the Horse's Mouth: The Words We Use to Teach Diverse Student Groups Across Three Continents. SIGCSE (1) 2022: 71-77 - [c71]James Finnie-Ansley, Paul Denny, Andrew Luxton-Reilly:
Play Your Cards Right: Using Quantitative Card-Sort Data to Examine Students' Pattern-Like Concepts. SIGCSE (1) 2022: 857-863 - [c70]Juho Leinonen, Paul Denny, Jacqueline Whalley:
A Comparison of Immediate and Scheduled Feedback in Introductory Programming Projects. SIGCSE (1) 2022: 885-891 - [c69]Paul Denny, Brett A. Becker, Nigel Bosch, James Prather, Brent N. Reeves, Jacqueline Whalley:
Novice Reflections During the Transition to a New Programming Language. SIGCSE (1) 2022: 948-954 - [c68]Hussel Suriyaarachchi, Paul Denny, Suranga Nanayakkara:
Scratch and Sense: Using Real-Time Sensor Data to Motivate Students Learning Scratch. SIGCSE (1) 2022: 983-989 - [e1]Judy Sheard, Paul Denny:
ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14 - 18, 2022. ACM 2022, ISBN 978-1-4503-9643-1 [contents] - [i9]Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen:
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models. CoRR abs/2206.11861 (2022) - [i8]Juho Leinonen, Arto Hellas, Sami Sarsa, Brent N. Reeves, Paul Denny, James Prather, Brett A. Becker:
Using Large Language Models to Enhance Programming Error Messages. CoRR abs/2210.11630 (2022) - [i7]Paul Denny, Viraj Kumar, Nasser Giacaman:
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language. CoRR abs/2210.15157 (2022) - [i6]Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen:
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. CoRR abs/2211.02265 (2022) - [i5]Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen:
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. CoRR abs/2211.04715 (2022) - [i4]Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, Eddie Antonio Santos:
Programming Is Hard - Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation. CoRR abs/2212.01020 (2022) - [i3]Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa:
Automatically Generating CS Learning Materials with Large Language Models. CoRR abs/2212.05113 (2022) - [i2]Brett A. Becker, Paul Denny, Janet Siegmund, Andreas Stefik:
The Human Factors Impact of Programming Error Messages (Dagstuhl Seminar 22052). Dagstuhl Reports 12(1): 119-130 (2022) - 2021
- [c67]Juho Leinonen, Paul Denny, Jacqueline Whalley:
Exploring the Effects of Contextualized Problem Descriptions on Problem Solving. ACE 2021: 30-39 - [c66]Casey Wong, Paul Denny, Andrew Luxton-Reilly, Jacqueline Whalley:
The Impact of Multiple Choice Question Design on Predictions of Performance. ACE 2021: 66-72 - [c65]Valerie Picardo, Paul Denny, Andrew Luxton-Reilly:
Lecture Recordings, Viewing Habits, and Performance in an Introductory Programming Course. ACE 2021: 73-79 - [c64]Theresia Devi Indriasari, Andrew Luxton-Reilly, Paul Denny:
Improving Student Peer Code Review Using Gamification. ACE 2021: 80-87 - [c63]Paul Denny, Jacqueline Whalley, Juho Leinonen:
Promoting Early Engagement with Programming Assignments Using Scheduled Automated Feedback. ACE 2021: 88-95 - [c62]Brett A. Becker, Paul Denny, James Prather, Raymond Pettit, Robert Nix, Catherine Mooney:
Towards Assessing the Readability of Programming Error Messages. ACE 2021: 181-188 - [c61]Jiashuo Cao, Samantha W. T. Chan, Dawn L. Garbett, Paul Denny, Alaeddin Nassani, Philipp M. Scholl, Suranga Nanayakkara:
Sensor-Based Interactive Worksheets to Support Guided Scientific Inquiry. IDC 2021: 1-7 - [c60]Aorthi Afroza, Kelsey Murray, Burkhard C. Wünsche, Paul Denny:
Who am I? - Development and Analysis of an Interactive 3D Game for Psychometric Testing. ACSW 2021: 22:1-22:10 - [c59]Paul Denny, James Prather, Brett A. Becker, Catherine Mooney, John Homer, Zachary C. Albrecht, Garrett B. Powell:
On Designing Programming Error Messages for Novices: Readability and its Constituent Factors. CHI 2021: 55:1-55:15 - [c58]Lauren E. Margulieux, Paul Denny, Kathryn Cunningham, Michael Deutsch, R. Benjamin Shapiro:
When Wrong is Right: The Instructional Power of Multiple Conceptions. ICER 2021: 184-197 - [c57]James Finnie-Ansley, Paul Denny, Andrew Luxton-Reilly:
A Semblance of Similarity: Student Categorisation of Simple Algorithmic Problem Statements. ICER 2021: 198-212 - [c56]Theresia Devi Indriasari, Andrew Luxton-Reilly, Paul Denny:
Investigating Accuracy and Perceived Value of Feedback in Peer Code Review Using Gamification. ITiCSE (1) 2021: 199-205 - [c55]James Zhang, Andrew Luxton-Reilly, Paul Denny, Jacqueline Whalley:
Scientific Collaboration Network Analysis for Computing Education Conferences. ITiCSE (1) 2021: 582-588 - [c54]Mitchell Rogers, Wendy Yao, Andrew Luxton-Reilly, Juho Leinonen, Danielle M. Lottridge, Paul Denny:
Exploring Personalization of Gamification in an Introductory Programming Course. SIGCSE 2021: 1121-1127 - [c53]Simon Su, Edward Zhang, Paul Denny, Nasser Giacaman:
A Game-Based Approach for Teaching Algorithms and Data Structures using Visualizations. SIGCSE 2021: 1128-1134 - [i1]Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions. CoRR abs/2111.10058 (2021) - 2020
- [j5]Theresia Devi Indriasari, Andrew Luxton-Reilly, Paul Denny:
Gamification of student peer review in education: A systematic literature review. Educ. Inf. Technol. 25(6): 5205-5234 (2020) - [j4]Theresia Devi Indriasari, Andrew Luxton-Reilly, Paul Denny:
A Review of Peer Code Review in Higher Education. ACM Trans. Comput. Educ. 20(3): 22:1-22:25 (2020) - [c52]Liam Rigby, Paul Denny, Andrew Luxton-Reilly:
A Miss is as Good as a Mile: Off-By-One Errors and Arrays in an Introductory Programming Course. ACE 2020: 31-38 - [c51]Zain Azimullah, Young Sun An, Paul Denny:
Evaluating an Interactive Tool for Teaching Design Patterns. ACE 2020: 167-176 - [c50]Yuemeng Du, Andrew Luxton-Reilly, Paul Denny:
A Review of Research on Parsons Problems. ACE 2020: 195-202 - [c49]Gabriela Morales-Martinez, Paul Latreille, Paul Denny:
Nationality and Gender Biases in Multicultural Online Learning Environments: The Effects of Anonymity. CHI 2020: 1-14 - [c48]James Prather, Brett A. Becker, Michelle Craig, Paul Denny, Dastyni Loksa, Lauren E. Margulieux:
What Do We Think We Think We Are Doing?: Metacognition and Self-Regulation in Programming. ICER 2020: 2-13 - [c47]Paul Denny, James Prather, Brett A. Becker:
Error Message Readability and Novice Debugging Performance. ITiCSE 2020: 480-486 - [c46]Lucy Jiang, Robert Rewcastle, Paul Denny, Ewan D. Tempero:
CompareCFG: Providing Visual Feedback on Code Quality Using Control Flow Graphs. ITiCSE 2020: 493-499 - [c45]Jacqueline Whalley, Andrew Petersen, Paul Denny:
Mathematics, Computer Science and Career Inclinations - A Multi-Institutional Exploration. Koli Calling 2020: 17:1-17:10
2010 – 2019
- 2019
- [j3]James Prather, Raymond Pettit, Brett A. Becker, Paul Denny, Dastyni Loksa, Alani L. Peters, Zachary Albrecht, Krista Masci:
BEST PAPER AT SIGCSE 2019 IN THE CS EDUCATION TRACK: First things first: providing metacognitive scaffolding for interpreting problem prompts. Inroads 10(2): 42-49 (2019) - [c44]James Garner, Paul Denny, Andrew Luxton-Reilly:
Mastery Learning in Computer Science Education. ACE 2019: 37-46 - [c43]Tyne Crow, Andrew Luxton-Reilly, Burkhard C. Wünsche, Paul Denny:
Resources and Support for the Implementation of Digital Technologies in New Zealand Schools. ACE 2019: 69-78 - [c42]Chen Li, Emily Chan, Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero:
Towards a Framework for Teaching Debugging. ACE 2019: 79-86 - [c41]Paul Denny:
Four Million Questions and a Few Answers: Lessons From Research on Student-Generated Resources. CompEd 2019: 1 - [c40]Paul Denny, Brett A. Becker, Michelle Craig, Greg Wilson, Piotr Banaszkiewicz:
Research This! Questions that Computing Educators Most Want Computing Education Researchers to Answer. ICER 2019: 259-267 - [c39]Brett A. Becker, Paul Denny, Raymond Pettit, Durell Bouchard, Dennis J. Bouvier, Brian Harrington, Amir Kamil, Amey Karkare, Chris McDonald, Peter-Michael Osera, Janice L. Pearce, James Prather:
Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research. ITiCSE-WGR 2019: 177-210 - [c38]Brett A. Becker, Paul Denny, Raymond Pettit, Durell Bouchard, Dennis J. Bouvier, Brian Harrington, Amir Kamil, Amey Karkare, Chris McDonald, Peter-Michael Osera, Janice L. Pearce, James Prather:
Unexpected Tokens: A Review of Programming Error Messages and Design Guidelines for the Future. ITiCSE 2019: 253-254 - [c37]Paul Denny, James Prather, Brett A. Becker, Zachary Albrecht, Dastyni Loksa, Raymond Pettit:
A Closer Look at Metacognitive Scaffolding: Solving Test Cases Before Programming. Koli Calling 2019: 11:1-11:10 - [c36]