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ORCIDPaul Denny 0001
Person information
- affiliation: University of Auckland, New Zealand
Other persons with the same name
- 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
- 2025
[c152]Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu:
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. AAAI 2025: 28955-28963- [c151]Georgiana Haldeman, Judah Robbins Bernal, Alec Wydra, Paul Denny:
Teaching Program Decomposition in CS1: A Conceptual Framework for Improved Code Quality. SIGCSE (1) 2025: 443-449 - [c150]Mohammed Hassan, Yuxuan Chen, Paul Denny, Craig B. Zilles:
On Teaching Novices Computational Thinking by Utilizing Large Language Models Within Assessments. SIGCSE (1) 2025: 471-477 - [c149]Steffan Hooper, Burkhard C. Wünsche, Paul Denny, Andrew Luxton-Reilly, Nick Konings, Angus Donald Campbell:
Educator Experiences with Automated Marking of Programming Assessments in a Computer Graphics-based Design Course. SIGCSE (1) 2025: 520-526 - [c148]Chris Kerslake, Paul Denny, David H. Smith, Juho Leinonen, Stephen MacNeil, Andrew Luxton-Reilly, Brett A. Becker:
Exploring Student Reactions to LLM-Generated Feedback on Explain in Plain English Problems. SIGCSE (1) 2025: 575-581 - [c147]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Syed Ashraf, Paul Denny:
Evaluating Language Models for Generating and Judging Programming Feedback. SIGCSE (1) 2025: 624-630 - [c146]Victor-Alexandru Padurean, Paul Denny, Adish Singla:
BugSpotter: Automated Generation of Code Debugging Exercises. SIGCSE (1) 2025: 896-902 - [c145]Hussel Suriyaarachchi, Paul Denny, Suranga Nanayakkara:
Investigating the Use of Productive Failure as a Design Paradigm for Learning Introductory Python Programming. SIGCSE (1) 2025: 1085-1091 - [c144]Elliott Wen, Sean Longyu Ma, Paul Denny, Ewan D. Tempero, Gerald Weber, Zongcheng Yue:
KernelVM: Teaching Linux Kernel Programming through a Browser-Based Virtual Machine. SIGCSE (1) 2025: 1204-1210 - [c143]Zezhu Yu, Suqing Liu, Paul Denny, Andreas Bergen, Michael Liut:
Integrating Small Language Models with Retrieval-Augmented Generation in Computing Education: Key Takeaways, Setup, and Practical Insights. SIGCSE (1) 2025: 1302-1308 - [i62]Victor-Alexandru Padurean, Paul Denny, Alkis Gotovos, Adish Singla:
Prompt Programming: A Platform for Dialogue-based Computational Problem Solving with Generative AI Models. CoRR abs/2503.04267 (2025) - [i61]David H. Smith IV, Max Fowler, Paul Denny, Craig B. Zilles:
ReDefining Code Comprehension: Function Naming as a Mechanism for Evaluating Code Comprehension. CoRR abs/2503.12207 (2025) - [i60]David H. Smith IV, Max Fowler, Paul Denny, Craig B. Zilles:
Counting the Trees in the Forest: Evaluating Prompt Segmentation for Classifying Code Comprehension Level. CoRR abs/2503.12216 (2025) - 2024
- [j19]Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova:
A systematic review of aspect-based sentiment analysis: domains, methods, and trends. Artif. Intell. Rev. 57(11): 296 (2024) - [j18]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. Commun. ACM 67(2): 56-67 (2024) - [j17]Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gasevic, Paul Denny, Hassan Khosravi:
Large language models meet user interfaces: The case of provisioning feedback. Comput. Educ. Artif. Intell. 7: 100289 (2024) - [j16]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. Int. J. Hum. Comput. Interact. 40(18): 5073-5086 (2024) - [j15]Paul Denny, Margaret Hamilton, Leo Porter, Briana B. Morrison:
ICER 2024: Call for Participation. ACM SIGCSE Bull. 56(2) (2024) - [j14]Paul Denny, Margaret Hamilton, Leo Porter, Briana B. Morrison:
ICER 2024: Call for Participation. ACM SIGCSE Bull. 56(3): 5-6 (2024) - [j13]James Prather, Brent N. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett B. Powell, James Finnie-Ansley, Eddie Antonio Santos:
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers. ACM Trans. Comput. Hum. Interact. 31(1): 4:1-4:31 (2024) - [c142]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. AAAI 2024: 23232-23240 - [c141]Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim:
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. ACE 2024: 11-18 - [c140]Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny:
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. ACE 2024: 49-57 - [c139]Diana Kirk, Andrew Luxton-Reilly, Ewan D. Tempero, Tyne Crow, Paul Denny, Allan Fowler, Steffan Hooper, Andrew Meads, Asma Shakil, Paramvir Singh, Craig J. Sutherland, Yi-Chien Vita Tsai, Burkhard Wuensche:
Educator Experiences of Low Overhead Student Project Risk Management. ACE 2024: 58-67 - [c138]Breanna Jury, Angela Lorusso, Juho Leinonen, Paul Denny, Andrew Luxton-Reilly:
Evaluating LLM-generated Worked Examples in an Introductory Programming Course. ACE 2024: 77-86 - [c137]Tony Haoran Feng, Paul Denny, Burkhard Wuensche, Andrew Luxton-Reilly, Steffan Hooper:
More Than Meets the AI: Evaluating the performance of GPT-4 on Computer Graphics assessment questions. ACE 2024: 182-191 - [c136]Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu:
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. ACL (Findings) 2024: 5914-5934 - [c135]Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang, Austin Zachary Henley, Paul Denny, Michelle Craig, Tovi Grossman:
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs. CHI 2024: 650:1-650:20 - [c134]David H. Smith IV, Viraj Kumar, Paul Denny:
Explain in Plain Language Questions with Indic Languages: Drawbacks, Affordances, and Opportunities. COMPUTE 2024: 3-17 - [c133]Bruno Pereira Cipriano, Pedro Alves, Paul Denny:
A Picture Is Worth a Thousand Words: Exploring Diagram and Video-Based OOP Exercises to Counter LLM Over-Reliance. EC-TEL (1) 2024: 75-89 - [c132]Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly:
Desirable Characteristics for AI Teaching Assistants in Programming Education. ITiCSE (1) 2024 - [c131]Paul Denny, David H. Smith, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen:
Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. ITiCSE (1) 2024 - [c130]Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil:
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models. ITiCSE (1) 2024 - [c129]Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil:
Analyzing Students' Preferences for LLM-Generated Analogies. ITiCSE (2) 2024 - [c128]Andre Del Carpio Gutierrez, Paul Denny, Andrew Luxton-Reilly:
Automating Personalized Parsons Problems with Customized Contexts and Concepts. ITiCSE (1) 2024 - [c127]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. ITiCSE (1) 2024 - [c126]Lauren E. Margulieux, James Prather, Brent N. Reeves, Brett A. Becker, Gozde Cetin Uzun, Dastyni Loksa, Juho Leinonen, Paul Denny:
Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems. ITiCSE (1) 2024 - [c125]Asma Shakil, Paul Denny:
Enhancing Student Engagement in Large-Scale Capstone Courses: An Experience Report. ITiCSE (1) 2024 - [c124]Ewan D. Tempero, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, Diana Kirk, Juho Leinonen, Asma Shakil, Robert J. Sheehan, James Tizard, Yu-Cheng Tu, Burkhard Wuensche:
On the comprehensibility of functional decomposition: An empirical study. ICPC 2024: 214-224 - [c123]David H. Smith, Paul Denny, Max Fowler:
Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing. L@S 2024: 39-50 - [c122]Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper:
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S 2024: 559-562 - [c121]Juho Leinonen, Paul Denny:
"Sometimes You Just Gotta Risk It for the Biscuit": A Portrait of Student Risk-Taking. SIGCSE Virtual (1) 2024 - [c120]Andre Del Carpio Gutierrez, Paul Denny, Andrew Luxton-Reilly:
Evaluating Automatically Generated Contextualised Programming Exercises. SIGCSE (1) 2024: 289-295 - [c119]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. SIGCSE (1) 2024: 296-302 - [c118]Steffan Hooper, Burkhard C. Wünsche, Andrew Luxton-Reilly, Paul Denny, Tony Haoran Feng:
Advancing Automated Assessment Tools - Opportunities for Innovations in Upper-level Computing Courses: A Position Paper. SIGCSE (1) 2024: 519-525 - [c117]Chris Kerslake, Paul Denny, David H. Smith, James Prather, Juho Leinonen, Andrew Luxton-Reilly, Stephen MacNeil:
Integrating Natural Language Prompting Tasks in Introductory Programming Courses. SIGCSE Virtual (1) 2024 - [c116]Seth Poulsen, Sami Sarsa, James Prather, Juho Leinonen, Brett A. Becker, Arto Hellas, Paul Denny, Brent N. Reeves:
Solving Proof Block Problems Using Large Language Models. SIGCSE (1) 2024: 1063-1069 - [c115]Judy Sheard, Paul Denny, Arto Hellas, Juho Leinonen, Lauri Malmi, Simon:
Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study. SIGCSE (1) 2024: 1223-1229 - [c114]Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas:
Using Large Language Models for Teaching Computing. SIGCSE (2) 2024: 1901 - [c113]Stephen MacNeil, Juho Leinonen, Paul Denny, Natalie Kiesler, Arto Hellas, James Prather, Brett A. Becker, Michel Wermelinger, Karen Reid:
Discussing the Changing Landscape of Generative AI in Computing Education. SIGCSE (2) 2024: 1916 - [c112]Stephen MacNeil, Magdalena Rogalska, Juho Leinonen, Paul Denny, Arto Hellas, Xandria Crosland:
Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students. SIGCSE Virtual (1) 2024 - [c111]Tony Haoran Feng, Paul Denny, Burkhard C. Wünsche, Andrew Luxton-Reilly, Jacqueline Whalley:
An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions. SIGGRAPH ASIA Educator's Forum 2024: 5:1-5:8 - [c110]Steffan Hooper, Burkhard Wünsche, Stefan Marks, Andrew Luxton-Reilly, Paul Denny:
Projects and Portfolios - An Educator's Reflections on the Summative Assessments in a Game Programming Course. SIGGRAPH ASIA Educator's Forum 2024: 11:1-11:8 - [e7]Paul Denny, Leo Porter, Margaret Hamilton, Briana B. Morrison:
Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1, ICER 2024, Melbourne, VIC, Australia, August 13-15, 2024. ACM 2024, ISBN 979-8-4007-0475-8 [contents] - [e6]Paul Denny, Leo Porter, Margaret Hamilton, Briana B. Morrison:
Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 2, ICER 2024, Melbourne, VIC, Australia, August 13-15, 2024. ACM 2024, ISBN 979-8-4007-0476-5 [contents] - [d2]Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova:
Scripts for PDF Mining and Auto-screening for Literature Reviews. Zenodo, 2024
- [i59]James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel:
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models. CoRR abs/2401.10759 (2024) - [i58]Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang, Austin Z. Henley, Paul Denny, Michelle Craig, Tovi Grossman:
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs. CoRR abs/2401.11314 (2024) - [i57]Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla:
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR abs/2402.01580 (2024) - [i56]Paul Denny, David H. Smith IV, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen:
Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. CoRR abs/2403.06050 (2024) - [i55]Bruno Pereira Cipriano, Pedro Alves, Paul Denny:
A Picture Is Worth a Thousand Words: Exploring Diagram and Video-Based OOP Exercises to Counter LLM Over-Reliance. CoRR abs/2403.08396 (2024) - [i54]Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil:
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models. CoRR abs/2403.09409 (2024) - [i53]Asma Shakil, Paul Denny:
Enhancing Student Engagement in Large-Scale Capstone Courses: An Experience Report. CoRR abs/2404.03120 (2024) - [i52]Andre Del Carpio Gutierrez, Paul Denny, Andrew Luxton-Reilly:
Automating Personalized Parsons Problems with Customized Contexts and Concepts. CoRR abs/2404.10990 (2024) - [i51]Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gasevic, Paul Denny, Hassan Khosravi:
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback. CoRR abs/2404.11072 (2024) - [i50]Juho Leinonen, Paul Denny:
"Sometimes You Just Gotta Risk It for the Biscuit": A Portrait of Student Risk-Taking. CoRR abs/2405.01477 (2024) - [i49]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. CoRR abs/2405.05253 (2024) - [i48]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Benchmarking Educational Program Repair. CoRR abs/2405.05347 (2024) - [i47]Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly:
Desirable Characteristics for AI Teaching Assistants in Programming Education. CoRR abs/2405.14178 (2024) - [i46]Charles Koutcheme, Nicola Dainese, Arto Hellas, Sami Sarsa, Juho Leinonen, Syed Ashraf, Paul Denny:
Evaluating Language Models for Generating and Judging Programming Feedback. CoRR abs/2407.04873 (2024) - [i45]Brent N. Reeves, James Prather, Paul Denny, Juho Leinonen, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly:
Prompts First, Finally. CoRR abs/2407.09231 (2024) - [i44]David H. Smith IV, Viraj Kumar, Paul Denny:
Explain in Plain Language Questions with Indic Languages: Drawbacks, Affordances, and Opportunities. CoRR abs/2409.20297 (2024) - [i43]Chris Kerslake, Paul Denny, David H. Smith IV, James Prather, Juho Leinonen, Andrew Luxton-Reilly, Stephen MacNeil:
Integrating Natural Language Prompting Tasks in Introductory Programming Courses. CoRR abs/2410.03063 (2024) - [i42]Stephen MacNeil, Magdalena Rogalska, Juho Leinonen, Paul Denny, Arto Hellas, Xandria Crosland:
Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students. CoRR abs/2410.09193 (2024) - [i41]Tony Haoran Feng, Paul Denny, Burkhard C. Wünsche, Andrew Luxton-Reilly, Jacqueline Whalley:
An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions. CoRR abs/2410.16991 (2024) - [i40]Etienne Naude, Paul Denny, Andrew Luxton-Reilly:
Anti-patterns in Students' Conditional Statements. CoRR abs/2410.18989 (2024) - [i39]Ismael Villegas Molina, Audria Montalvo, Benjamin Ochoa, Paul Denny, Leo Porter:
Leveraging LLM Tutoring Systems for Non-Native English Speakers in Introductory CS Courses. CoRR abs/2411.02725 (2024) - [i38]Umar Alkafaween, Ibrahim Albluwi, Paul Denny:
Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming. CoRR abs/2411.09261 (2024) - [i37]Georgiana Haldeman, Judah Robbins Bernal, Alec Wydra, Paul Denny:
Teaching Program Decomposition in CS1: A Conceptual Framework for Improved Code Quality. CoRR abs/2411.09463 (2024) - [i36]Juho Leinonen, Paul Denny, Olli Kiljunen, Stephen MacNeil, Sami Sarsa, Arto Hellas:
LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education. CoRR abs/2411.10455 (2024) - [i35]Hussel Suriyaarachchi, Paul Denny, Suranga Nanayakkara:
Investigating the Use of Productive Failure as a Design Paradigm for Learning Introductory Python Programming. CoRR abs/2411.11227 (2024) - [i34]Victor-Alexandru Padurean, Paul Denny, Adish Singla:
BugSpotter: Automated Generation of Code Debugging Exercises. CoRR abs/2411.14303 (2024) - [i33]Neil C. C. Brown, Pierre Weill-Tessier, Juho Leinonen, Paul Denny, Michael Kölling:
Howzat? Appealing to Expert Judgement for Evaluating Human and AI Next-Step Hints for Novice Programmers. CoRR abs/2411.18151 (2024) - [i32]Shuying Qiao, Paul Denny, Nasser Giacaman:
Oversight in Action: Experiences with Instructor-Moderated LLM Responses in an Online Discussion Forum. CoRR abs/2412.09048 (2024) - [i31]Sebastian Gutierrez, Irene Hou, Jihye Lee, Kenneth Angelikas, Owen Man, Sophia Mettille, James Prather, Paul Denny, Stephen MacNeil:
Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models. CoRR abs/2412.11088 (2024) - [i30]Tony Haoran Feng, Andrew Luxton-Reilly, Burkhard C. Wünsche, Paul Denny:
From Automation to Cognition: Redefining the Roles of Educators and Generative AI in Computing Education. CoRR abs/2412.11419 (2024) - [i29]James Prather, Brent N. Reeves, Paul Denny, Juho Leinonen, Stephen MacNeil, Andrew Luxton-Reilly, João Orvalho, Amin Alipour, Ali Alfageeh, Thezyrie Amarouche, Bailey Kimmel, Jared Wright, Musa Blake, Gweneth Barbre:
Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners. CoRR abs/2412.12800 (2024) - 2023
- [j12]Nea Pirttinen, Paul Denny, Arto Hellas, Juho Leinonen:
Lessons Learned From Four Computing Education Crowdsourcing Systems. IEEE Access 11: 22982-22992 (2023) - [j11]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) - [j10]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) - [j9]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) - [j8]Diana Franklin, Kathi Fisler, Paul Denny, Margaret Hamilton:
ICER 2023 Recap. ACM SIGCSE Bull. 55(4): 5 (2023) - [c109]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 - [c108]Yulia Pechorina, Keith Anderson, Paul Denny:
Metacodenition: Scaffolding the Problem-Solving Process for Novice Programmers. ACE 2023: 59-68 - [c107]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 - [c106]Flynn Fromont, Hiruna Jayamanne, Paul Denny:
Exploring the Difficulty of Faded Parsons Problems for Programming Education. ACE 2023: 113-122 - [c105]Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper:
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) 2023: 32-37 - [c104]Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Automated Program Repair Using Generative Models for Code Infilling. AIED 2023: 798-803 - [c103]Theresia Devi Indriasari, Paul Denny, Andrew Luxton-Reilly, Danielle M. Lottridge:
Impacting the Submission Timing of Student Work Using Gamification. COMPUTE 2023: 7-12 - [c102]Zixuan Wang, Paul Denny, Juho Leinonen, Andrew Luxton-Reilly:
Understanding Student Evaluation of Teaching in Computer Science Courses. COMPUTE 2023: 13-18 - [c101]Stefan Dyer, Paul Denny, Andrew Luxton-Reilly:
Exploring How Novice Programming Students Have Experienced Digital Technology. COMPUTE 2023: 72-75 - [c100]Zixuan Wang, Paul Denny, Juho Leinonen, Andrew Luxton-Reilly:
Leveraging Large Language Models for Analysis of Student Course Feedback. COMPUTE 2023: 76-79 - [c99]Darryn He, Hannah Steffes, Samin Yasar, Paul Denny, Andrew Luxton-Reilly, Juho Leinonen:
The Forum Factor: Exploring the Link between Online Discourse and Student Achievement in Higher Education. COMPUTE 2023: 80-83 - [c98]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 - [c97]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 Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR 2023: 108-159 - [c96]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 - [c95]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 - [c94]Brent N. Reeves, Sami Sarsa, James Prather, Paul Denny, Brett A. Becker, Arto Hellas, Bailey Kimmel, Garrett B. Powell, Juho Leinonen:
Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. ITiCSE (1) 2023: 299-305 - [c93]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 - [c92]Mark H. Liffiton, Brad E. Sheese, Jaromír Savelka, Paul Denny:
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. Koli Calling 2023: 8:1-8:11 - [c91]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 - [c90]James Prather, Paul Denny, Brett A. Becker, Robert Nix, Brent N. Reeves, Arisoa S. Randrianasolo, Garrett B. Powell:
First Steps Towards Predicting the Readability of Programming Error Messages. SIGCSE (1) 2023: 549-555 - [c89]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 - [c88]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 - [c87]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 - [c86]Paul Denny, Viraj Kumar, Nasser Giacaman:
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language. SIGCSE (1) 2023: 1136-1142 - [c85]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 - [c84]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 Jiarui Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Christopher 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] - [i28]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) - [i27]James Prather, Brent N. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett B. 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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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 Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
The Robots are Here: Navigating the Generative AI Revolution in Computing Education. CoRR abs/2310.00658 (2023) - [i15]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) - [i14]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) - [i13]Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny:
ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs. CoRR abs/2311.02775 (2023) - [i12]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) - [i11]Yan Cathy 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) - [i10]Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim:
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. CoRR abs/2311.16017 (2023) - 2022
- [j7]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) - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]Cruz Izu, Paul Denny, Sayoni Roy:
A Resource to Support Novices Refactoring Conditional Statements. ITiCSE (1) 2022: 344-350 - [c76]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 - [c75]Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen:
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. LSGCS@L@S 2022: 3-19 - [c74]Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. L@S 2022: 259-262 - [c73]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 - [c72]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 - [c71]Juho Leinonen, Paul Denny, Jacqueline Whalley:
A Comparison of Immediate and Scheduled Feedback in Introductory Programming Projects. SIGCSE (1) 2022: 885-891 - [c70]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 - [c69]Hussel Suriyaarachchi, Paul Denny, Suranga Nanayakkara:
Scratch and Sense: Using Real-Time Sensor Data to Motivate Students Learning Scratch. SIGCSE (1) 2022: 983-989 - [c68]James Prather, John Homer, Paul Denny, Brett A. Becker, John Marsden, Garrett B. Powell:
Scaffolding Task Planning Using Abstract Parsons Problems. WCCE 2022: 591-602 - [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 - [d1]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. Zenodo, 2021 - [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
- [j6]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) - [j5]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
- [j4]Stephen Snow, Adriana Wilde, Paul Denny, m. c. schraefel:
A discursive question: Supporting student-authored multiple choice questions through peer-learning software in non-STEMM disciplines. Br. J. Educ. Technol. 50(4): 1815-1830 (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]Paul Denny, Sathiamoorthy Manoharan, Ulrich Speidel, Giovanni Russello, Angela Chang:
On the Fairness of Multiple-Variant Multiple-Choice Examinations. SIGCSE 2019: 462-468 - [c35]James Prather, Raymond Pettit, Brett A. Becker, Paul Denny, Dastyni Loksa, Alani L. Peters, Zachary Albrecht, Krista Masci:
First Things First: Providing Metacognitive Scaffolding for Interpreting Problem Prompts. SIGCSE 2019: 531-537 - 2018
- [c34]Andrew Ettles, Andrew Luxton-Reilly, Paul Denny:
Common logic errors made by novice programmers. ACE 2018: 83-89 - [c33]Paul Denny, Fiona McDonald, Ruth Empson, Philip Kelly, Andrew Petersen:
Empirical Support for a Causal Relationship Between Gamification and Learning Outcomes. CHI 2018: 311 - [c32]Ewan D. Tempero, Paul Denny, Andrew Luxton-Reilly, Paul Ralph:
Objects Count so Count Objects! ICER 2018: 187-195 - [c31]Paul Denny, Andrew Luxton-Reilly, Michelle Craig, Andrew Petersen:
Improving complex task performance using a sequence of simple practice tasks. ITiCSE 2018: 4-9 - [c30]Andrew Luxton-Reilly, Emma McMillan, Elizabeth Stevenson, Ewan D. Tempero, Paul Denny:
Ladebug: an online tool to help novice programmers improve their debugging skills. ITiCSE 2018: 159-164 - [c29]Harry Jackson, Angad Nayyar, Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero:
HandsUp: An In-Class Question Posing Tool. LaTiCE 2018: 24-31 - [c28]Luke Moors, Andrew Luxton-Reilly, Paul Denny:
Transitioning from Block-Based to Text-Based Programming Languages. LaTiCE 2018: 57-64 - 2017
- [c27]Paul Denny, Ewan D. Tempero, Dawn Garbett, Andrew Petersen:
Examining a Student-Generated Question Activity Using Random Topic Assignment. ITiCSE 2017: 146-151 - 2016
- [c26]Paul Freeman, Ian Watson, Paul Denny:
Inferring Student Coding Goals Using Abstract Syntax Trees. ICCBR 2016: 139-153 - [c25]Andrew Petersen, Michelle Craig, Paul Denny:
Employing Multiple-Answer Multiple Choice Questions. ITiCSE 2016: 252-253 - 2015
- [c24]Paul Denny, Diana Cukierman, Jonathan Bhaskar:
Measuring the effect of inventing practice exercises on learning in an introductory programming course. Koli Calling 2015: 13-22 - [c23]Jaime Spacco, Paul Denny, Brad Richards, David S. Babcock, David Hovemeyer, James Moscola, Robert C. Duvall:
Analyzing Student Work Patterns Using Programming Exercise Data. SIGCSE 2015: 18-23 - [c22]Paul Denny:
Generating Practice Questions as a Preparation Strategy for Introductory Programming Exams. SIGCSE 2015: 278-283 - 2014
- [c21]Paul Denny, Andrew Luxton-Reilly, Dave Carpenter:
Enhancing syntax error messages appears ineffectual. ITiCSE 2014: 273-278 - 2013
- [c20]Paul Denny:
The effect of virtual achievements on student engagement. CHI 2013: 763-772 - [c19]Andrew Luxton-Reilly, Paul Denny, Diana Kirk, Ewan D. Tempero, Se-Young Yu:
On the differences between correct student solutions. ITiCSE 2013: 177-182 - [c18]David Hovemeyer, Matthew Hertz, Paul Denny, Jaime Spacco, Andrei Papancea, John C. Stamper, Kelly Rivers:
CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only). SIGCSE 2013: 742 - 2012
- [j2]Paul Denny, Diana Cukierman, Andrew Luxton-Reilly, Ewan D. Tempero:
A case study of multi-institutional contributing-student pedagogy. Comput. Sci. Educ. 22(4): 389-411 (2012) - [c17]Andrew Luxton-Reilly, Paul Denny, Beryl Plimmer, Robert J. Sheehan:
Activities, affordances and attitude: how student-generated questions assist learning. ITiCSE 2012: 4-9 - [c16]Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero:
All syntax errors are not equal. ITiCSE 2012: 75-80 - [c15]Andrew Luxton-Reilly, Daniel J. Bertinshaw, Paul Denny, Beryl Plimmer, Robert J. Sheehan:
The impact of question generation activities on performance. SIGCSE 2012: 391-396 - 2011
- [c14]Paul Denny, Brian Hanks, Beth Simon, Spencer Bagley:
PeerWise: exploring conflicting efficacy studies. ICER 2011: 53-60 - [c13]Andrew Luxton-Reilly, Paul Denny, Beryl Plimmer, Daniel J. Bertinshaw:
Supporting student-generated free-response questions. ITiCSE 2011: 153-157 - [c12]Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero, Jacob Hendrickx:
Understanding the syntax barrier for novices. ITiCSE 2011: 208-212 - [c11]Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero, Jacob Hendrickx:
CodeWrite: supporting student-driven practice of java. SIGCSE 2011: 471-476 - 2010
- [j1]Andrew Luxton-Reilly, Paul Denny:
Constructive evaluation: a pedagogy of student-contributed assessment. Comput. Sci. Educ. 20(2): 145-167 (2010) - [c10]Paul Denny, Andrew Luxton-Reilly, John Hamer, Dana B. Dahlstrom, Helen C. Purchase:
Self-predicted and actual performance in an introductory programming course. ITiCSE 2010: 118-122 - [c9]Paul Denny:
Motivating online collaborative learning. ITiCSE 2010: 300 - [c8]Paul Denny, Brian Hanks, Beth Simon:
Peerwise: replication study of a student-collaborative self-testing web service in a u.s. setting. SIGCSE 2010: 421-425
2000 – 2009
- 2009
- [c7]John Hamer, Helen C. Purchase, Paul Denny, Andrew Luxton-Reilly:
Quality of peer assessment in CS1. ICER 2009: 27-36 - [c6]Paul Denny, Andrew Luxton-Reilly, John Hamer, Helen C. Purchase:
Coverage of course topics in a student generated MCQ repository. ITiCSE 2009: 11-15 - [c5]Andrew Luxton-Reilly, Paul Denny:
A simple framework for interactive games in CS1. SIGCSE 2009: 216-220 - 2008
- [c4]Paul Denny, John Hamer, Andrew Luxton-Reilly, Helen C. Purchase:
PeerWise: students sharing their multiple choice questions. ICER 2008: 51-58 - [c3]Paul Denny, Andrew Luxton-Reilly, Beth Simon:
Evaluating a new exam question: Parsons problems. ICER 2008: 113-124 - [c2]Paul Denny, Andrew Luxton-Reilly, John Hamer:
Student use of the PeerWise system. ITiCSE 2008: 73-77 - [c1]Paul Denny, John Hamer, Andrew Luxton-Reilly, Helen C. Purchase:
PeerWise. Koli Calling 2008: 109-112
Coauthor Index
[c152] [c148] [c147] [j18] [j13] [c141] [c138] [c131] [c130] [c129] [c127] [c126] [c124] [c121] [c119] [c117] [c116] [c115] [c114] [c113] [c112] [i59] [i56] [i54] [i50] [i49] [i48] [i46] [i45] [i43] [i42] [i36] [i33] [i29] [j12] [c104] [c102] [c100] [c99] [c98] [c97] [c96] [c94] [c93] [c89] [c88] [c87] [c85] [c84] [i27] [i25] [i23] [i21] [i20] [i18] [i16] [i12] [i10] [c80] [c78] [c76] [c75] [c71] [i9] [i8] [i6] [i5] [i3] [c67] [c63] [c54]
[c149] [c148] [j18] [j13] [c139] [c138] [c137] [c132] [c128] [c124] [c120] [c119] [c118] [c117] [c111] [c110] [i59] [i52] [i47] [i45] [i43] [i41] [i40] [i30] [i29] [j10] [j9] [c109] [c107] [c103] [c102] [c101] [c100] [c99] [c97] [c93] [c91] [c87] [i28] [i27] [i23] [i20] [i16] [i12] [c82] [c72] [i4] [c66] [c65] [c64] [c57] [c56] [c55] [c54] [j6] [j5] [c52] [c50] [c44] [c43] [c42] [c34] [c32] [c31] [c30] [c29] [c28] [c21] [c19] [j2] [c17] [c16] [c15] [c13] [c12] [c11] [j1] [c10] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Jacqueline L. Whalley
aka: Jacqueline Whalley
aka: Jacqueline Whalley
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