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As an increasing number of students move to online learning platforms that deliver personalized learning experiences, there is a great need for the production of high-quality educational content.
Peerwise: students sharing their multiple choice questions
Paul Denny, John Hamer, Andrew Luxton-Reilly, and Helen Purchase · 2008
Earlier work this paper cites.
Peerwise: replication study of a student-collaborative self-testing web service in a us setting
Paul Denny, Brian Hanks, and Beth Simon · 2010
Earlier work this paper cites.
Codewrite: supporting student-driven practice of java
Paul Denny, Andrew Luxton-Reilly, Ewan Tempero, and Jacob Hendrickx · 2011
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Learnersourcing: improving learning with collective learner activity
Juho Kim · 2015
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Measuring the effect of inventing practice exercises on learning in an introductory programming course
Paul Denny, Diana Cukierman, and Jonathan Bhaskar · 2015
Earlier work this paper cites.
Learnersourcing subgoal labels for how-to videos
Sarah Weir, Juho Kim, Krzysztof Z Gajos, and Robert C Miller · 2015
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Learnersourcing personalized hints
Elena L Glassman, Aaron Lin, Carrie J Cai, and Robert C Miller · 2016
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Axis: Generating explanations at scale with learnersourcing and machine learning
Joseph Jay Williams, Juho Kim, Anna Rafferty, Samuel Maldonado, Krzysztof Z Gajos, Walter S Lasecki, and Neil Heffernan · 2016
Earlier work this paper cites.
Personal learning environments based on web 2.0 services in higher education
Ricardo Torres Kompen, Palitha Edirisingha, Xavier Canaleta, Maria Alsina, and Josep Maria Monguet · 2018
Earlier work this paper cites.
Peerwise: Evaluating the effectiveness of a web-based learning aid in a second-year psychology subject
Piers DL Howe, Meredith McKague, Jason M Lodge, Anthea G Blunden, and Geoffrey Saw · 2018
Earlier work this paper cites.
Empirical support for a causal relationship between gamification and learning outcomes
Paul Denny, Fiona McDonald, Ruth Empson, Philip Kelly, and Andrew Petersen · 2018
Earlier work this paper cites.
Crowdsourcing programming assignments with crowdsorcerer
Nea Pirttinen, Vilma Kangas, Irene Nikkarinen, Henrik Nygren, Juho Leinonen, and Arto Hellas · 2018
Earlier work this paper cites.
Generation and retrieval practice effects in the classroom using peerwise
Matthew R. Kelley, Elizabeth K. Chapman-Orr, Susanna Calkins, and Robert J. Lemke · 2019
Earlier work this paper cites.
RiPPLE: A crowdsourced adaptive platform for recommendation of learning activities
Hassan Khosravi, Kirsty Kitto, and Joseph Jay Williams · 2019
Earlier work this paper cites.
Crowdsourcing content creation for sql practice
Juho Leinonen, Nea Pirttinen, and Arto Hellas · 2020
Cited alongside, same era.
Charting the design and analytics agenda of learnersourcing systems
Hassan Khosravi, Gianluca Demartini, Shazia Sadiq, and Dragan Gasevic · 2021
Cited alongside, same era.
Exploring personalization of gamification in an introductory programming course
Mitchell Rogers, Wendy Yao, Andrew Luxton-Reilly, Juho Leinonen, Danielle Lottridge, and Paul Denny · 2021
Cited alongside, same era.
Evaluating the quality of learning resources: A learnersourcing approach
Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, and Gianluca Demartini · 2021
Cited alongside, same era.
Automatic generation of programming exercises and code explanations using large language models
Sami Sarsa, Paul Denny, Arto Hellas, and Juho Leinonen · 2022
Cited alongside, same era.
Towards human-like educational question generation with large language models
Should chatgpt be biased? challenges and risks of bias in large language models
Emilio Ferrara · 2023
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Academic integrity considerations of ai large language models in the post-pandemic era: Chatgpt and beyond
Mike Perkins · 2023
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Educational research and ai-generated writing: Confronting the coming tsunami, 2023
Tamara Tate, Shayan Doroudi, Daniel Ritchie, Ying Xu, et al · 2023
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Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martinez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, and Dragan Gašević · 2023
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Programming is hard - or at least it used to be: Educational opportunities and challenges of ai code generation
Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, and Eddie Antonio Santos · 2023
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Zichao Wang, Jakob Valdez, Debshila Basu Mallick, and Richard G Baraniuk · 2022
Cited alongside, same era.
Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
Thomas K.F. Chiu, Qi Xia, Xinyan Zhou, Ching Sing Chai, and Miaoting Cheng · 2022
Cited alongside, same era.
Programming pedagogy and assessment in the era of ai/ml: A position paper
Arun Raman and Viraj Kumar · 2022
Cited alongside, same era.
The robots are coming: Exploring the implications of openai codex on introductory programming
James Finnie-Ansley, Paul Denny, Brett A. Becker, Andrew Luxton-Reilly, and James Prather · 2022
Cited alongside, same era.
Learnersourcing in theory and practice: Synthesizing the literature and charting the future
Anjali Singh, Christopher Brooks, and Shayan Doroudi · 2022
Cited alongside, same era.
Explainable artificial intelligence in education
Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martinez-Maldonado, Shazia Sadiq, and Dragan Gašević · 2022
Cited alongside, same era.
Lessons learned from four computing education crowdsourcing systems
Nea Pirttinen, Paul Denny, Arto Hellas, and Juho Leinonen · 2023
Cited alongside, same era.
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Chatgpt for good? on opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Sessler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, Stepha Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, Jürgen Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, Tina Seidel, Matthias Stadler, Jochen Weller, Jochen Kuhn, and Gjergji Kasneci · 2023
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Using github copilot to solve simple programming problems
Michel Wermelinger · 2023
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Can generative pre-trained transformers (gpt) pass assessments in higher education programming courses?
Jaromir Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, and Majd Sakr · 2023
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My ai wants to know if this will be on the exam: Testing openai’s codex on cs2 programming exercises
James Finnie-Ansley, Paul Denny, Andrew Luxton-Reilly, Eddie Antonio Santos, James Prather, and Brett A. Becker · 2023
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Conversing with copilot: Exploring prompt engineering for solving cs1 problems using natural language
Paul Denny, Viraj Kumar, and Nasser Giacaman · 2023
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Many bioinformatics programming tasks can be automated with chatgpt
Stephen R. Piccolo, Paul Denny, Andrew Luxton-Reilly, Samuel Payne, and Perry G. Ridge · 2023
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Experiences from using code explanations generated by large language models in a web software development e-book
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, and Juho Leinonen · 2023
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Analytics of learning tactics and strategies in an online learnersourcing environment
Hatim Lahza, Hassan Khosravi, and Gianluca Demartini · 2023
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Learnersourcing in the age of ai: Student, educator and machine partnerships for content creation
Hassan Khosravi, Paul Denny, Steven Moore, and John Stamper · 2023
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