Arto Hellas

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 141

Top Venues

Publications

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 (2024)
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)
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)
Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen
Evaluating Contextually Personalized Programming Exercises Created with Generative AI. CoRR (2024)
Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas
Using Large Language Models for Teaching Computing. SIGCSE (2) (2024)
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 (2024)
Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny
Benchmarking Educational Program Repair. CoRR (2024)
Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil
Analyzing Students' Preferences for LLM-Generated Analogies. ITiCSE (2) (2024)
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)
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)
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)
Arto Hellas, Juho Leinonen, Leo Leppänen
Experiences from Integrating Large Language Model Chatbots into the Classroom. CoRR (2024)
Charles Koutcheme, Arto Hellas
Propagating Large Language Models Programming Feedback. L@S (2024)
Charles Koutcheme, Nicola Dainese, Arto Hellas, Sami Sarsa, Juho Leinonen, Syed Ashraf, Paul Denny
Evaluating Language Models for Generating and Judging Programming Feedback. CoRR (2024)
Teemu Lehtinen, Charles Koutcheme, Arto Hellas
Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions. SEET@ICSE (2024)
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) (2024)
Teemu Lehtinen, Charles Koutcheme, Arto Hellas
Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions. CoRR (2024)
Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen
Evaluating Contextually Personalized Programming Exercises Created with Generative AI. ICER (1) (2024)
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)
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)
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
The Rise of Disappearing Frameworks in Web Development. CoRR (2023)
Lassi Haaranen, Lukas Ahrenberg, Arto Hellas
Decades of Striving for Pedagogical and Technological Alignment. Koli Calling (2023)
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)
Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa
Human vs Machine: Comparison of Student-generated and AI-generated Educational Content. CoRR (2023)
Ava Heinonen, Bettina Lehtelä, Arto Hellas, Fabian Fagerholm
Synthesizing research on programmers' mental models of programs, tasks and concepts - A systematic literature review. Inf. Softw. Technol. 164 (2023)
Nea Pirttinen, Arto Hellas, Juho Leinonen
Experiences from Learnersourcing SQL Exercises: Do They Cover Course Topics and Do Students Use Them? ACE (2023)
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 (2023)
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)
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 (2023)
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
Implications of Edge Computing for Static Site Generation. WEBIST (2023)
Steven Scott, Arto Hellas, Juho Leinonen, John Edwards
Factors Affecting Compilable State at Each Keystroke in CS1. SEET@ICSE (2023)
Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests. CoRR (2023)
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)
Lauri Malmi, Arto Hellas, Kate Sanders
Understanding Pathways to Computing Education Research (CER). Koli Calling (2023)
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
The State of Disappearing Frameworks in 2023. WEBIST (2023)
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 (2023)
Nea Pirttinen, Arto Hellas, Juho Leinonen
Coverage of Course Topics in Learnersourced SQL Exercises. CoRR (2023)
Ava Heinonen, Arto Hellas
Time-constrained Code Recall Tasks for Monitoring the Development of Programming Plans. SIGCSE (1) (2023)
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
The Rise of Disappearing Frameworks in Web Development. ICWE (2023)
Nea Pirttinen, Paul Denny, Arto Hellas, Juho Leinonen
Lessons Learned From Four Computing Education Crowdsourcing Systems. IEEE Access 11 (2023)
Hannu Pesonen, Juho Leinonen, Lassi Haaranen, Arto Hellas
Exploring the Interplay of Achievement Goals, Self-Efficacy, Prior Experience and Course Achievement. UKICER (2023)
Juho Leinonen, Arto Hellas, John Edwards
Seeing Program Output Improves Novice Learning Gains. ITiCSE (1) (2023)
Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny
Automated Program Repair Using Generative Models for Code Infilling. AIED (2023)
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
The State of Disappearing Frameworks in 2023. CoRR (2023)
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)
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)
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
Implications of Edge Computing for Static Site Generation. CoRR (2023)
Juho Leinonen, Nea Pirttinen, Arto Hellas
Trends From Computing Education Research Conferences: Increasing Submissions and Decreasing Acceptance Rates. Koli Calling (2022)
Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas
Time-on-Task Metrics for Predicting Performance. SIGCSE (1) (2022)
Hannu Pesonen, Arto Hellas
Weekly Fluctuations in Motivation in Introductory Programming. UKICER (2022)
Francisco Enrique Vicente Castro, Juho Leinonen, Arto Hellas
Experiences With and Lessons Learned on Deadlines and Submission Behavior. Koli Calling (2022)
Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. CoRR (2022)
Ava Heinonen, Bettina Lehtelä, Arto Hellas, Fabian Fagerholm
Synthesizing Research on Programmers' Mental Models of Programs, Tasks and Concepts - a Systematic Literature Review. CoRR (2022)
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)
Sami Sarsa, Jesper Pettersson, Arto Hellas
How to Help to Ask for Help? Help Request Prompt Structure Influence on Help Request Quantity and Course Retention. FIE (2022)
Leo Leppänen, Arto Hellas, Juho Leinonen
Piloting Natural Language Generation for Personalized Progress Feedback. FIE (2022)
Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas
Time-on-task metrics for predicting performance. Inroads 13 (2) (2022)
Raj Shrestha, Juho Leinonen, Albina Zavgorodniaia, Arto Hellas, John Edwards
Pausing While Programming: Insights From Keystroke Analysis. ICSE (SEET) (2022)
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)
Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests. ICER (1) (2022)
Benjamin Ultan Cowley, Arto Hellas, Petri Ihantola, Juho Leinonen, Michiel M. A. Spapé
Seeking Flow from Fine-Grained Log Data. ICSE (SEET) (2022)
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 (2022)
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 (2022)
Sami Sarsa, Juho Leinonen, Charles Koutcheme, Arto Hellas
Speeding Up Automated Assessment of Programming Exercises. UKICER (2022)
Raj Shrestha, Juho Leinonen, Arto Hellas, Petri Ihantola, John Edwards
CodeProcess Charts: Visualizing the Process of Writing Code. ACE (2022)
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 (2022)
Hannu Pesonen, Arto Hellas
On Things that Matter in Learning Programming: Towards a Scale for New Programming Students. FIE (2022)
Charles Koutcheme, Artturi Tilanterä, Aleksi Peltonen, Arto Hellas, Lassi Haaranen
Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course. ITiCSE (1) (2022)
Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. LSGCS@L@S (2022)
Sami Sarsa, Arto Hellas, Juho Leinonen
Finding Significant p in Coffee or Tea: Mildly Distasteful. Koli Calling (2022)
Teemu Koivisto, Arto Hellas
Evaluating CodeClusters for Effectively Providing Feedback on Code Submissions. FIE (2022)
Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen
Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models. ICER (1) (2022)
Sami Sarsa, Arto Hellas, Juho Leinonen
Who Continues in a Series of Lifelong Learning Courses? ITiCSE (1) (2022)
Nea Pirttinen, Arto Hellas, Juho Leinonen
Coverage of Course Topics in Learnersourced SQL Exercises. LSGCS@L@S (2022)
Charles Koutcheme, Sami Sarsa, Juho Leinonen, Lassi Haaranen, Arto Hellas
Evaluating Distance Measures for Program Repair. ICER (1) (2022)
Charles Koutcheme, Sami Sarsa, Arto Hellas, Lassi Haaranen, Juho Leinonen
Methodological Considerations for Predicting At-risk Students. ACE (2022)
Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models. CoRR (2022)
Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas
Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming. EDM (2021)
Sami Sarsa, Juho Leinonen, Arto Hellas
Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation. CoRR (2021)
Aleksi Lukkarinen, Arto Hellas, Lassi Haaranen
A Kingdom for a Button: Students' Thoughts about Buttons. Koli Calling (2021)
Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas
Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes. ITiCSE (2021)
Albina Zavgorodniaia, Raj Shrestha, Juho Leinonen, Arto Hellas, John Edwards
Morning or Evening? An Examination of Circadian Rhythms of CS1 Students. ICSE (SEET) (2021)
Albina Zavgorodniaia, Raj Shrestha, Juho Leinonen, Arto Hellas, John Edwards
Morning or Evening? An Examination of Circadian Rhythms of CS1 Students. CoRR (2021)
Albina Zavgorodniaia, Artturi Tilanterä, Ari Korhonen, Otto Seppälä, Arto Hellas, Juha Sorva
Algorithm Visualization and the Elusive Modality Effect. ICER (2021)
Kukka-Maaria Polso, Heta Tuominen, Arto Hellas, Petri Ihantola
Achievement Goal Orientation Profiles and Performance in a Programming MOOC. ITiCSE (2020)
Ava Heinonen, Arto Hellas
Exploring the Instructional Efficiency of Representation and Engagement in Online Learning Materials. UKICER (2020)
Jami Kousa, Petri Ihantola, Arto Hellas, Matti Luukkainen
Teaching Container-Based DevOps Practices. ICWE (2020)
Ilenia Fronza, Arto Hellas, Petri Ihantola, Tommi Mikkonen
Code Reviews, Software Inspections, and Code Walkthroughs: Systematic Mapping Study of Research Topics. SWQD (2020)
Nea Pirttinen, Arto Hellas, Lassi Haaranen, Rodrigo Duran
Study Major, Gender, and Confidence Gap: Effects on Experience, Performance, and Self-Efficacy in Introductory Programming. FIE (2020)
John Edwards, Juho Leinonen, Arto Hellas
A Study of Keystroke Data in Two Contexts: Written Language and Programming Language Influence Predictability of Learning Outcomes. SIGCSE (2020)
Fabian Fagerholm, Arto Hellas
On the Differences in Time That Students Take to Write Solutions to Programming Problems. FIE (2020)
Sally Fincher, Johan Jeuring, Craig S. Miller, Peter Donaldson, Benedict du Boulay, Matthias Hauswirth, Arto Hellas, Felienne Hermans, Colleen M. Lewis, Andreas Mühling, Janice L. Pearce, Andrew Petersen
Notional Machines in Computing Education: The Education of Attention. ITiCSE (Working Group Reports) (2020)
John Edwards, Juho Leinonen, Chetan Birthare, Albina Zavgorodniaia, Arto Hellas
Programming Versus Natural Language: On the Effect of Context on Typing in CS1. ICER (2020)
Albina Zavgorodniaia, Arto Hellas, Otto Seppälä, Juha Sorva
Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study. Koli Calling (2020)
Sally Fincher, Johan Jeuring, Craig S. Miller, Peter Donaldson, Benedict du Boulay, Matthias Hauswirth, Arto Hellas, Felienne Hermans, Colleen M. Lewis, Andreas Mühling, Janice L. Pearce, Andrew Petersen
Capturing and Characterising Notional Machines. ITiCSE (2020)
Juho Leinonen, Nea Pirttinen, Arto Hellas
Crowdsourcing Content Creation for SQL Practice. ITiCSE (2020)
Tapio Auvinen, Nickolas J. G. Falkner, Arto Hellas, Petri Ihantola, Ville Karavirta, Otto Seppälä
Relation of Individual Time Management Practices and Time Management of Teams. FIE (2020)
Arto Hellas, Albina Zavgorodniaia, Juha Sorva
Crowdsourcing in Computing Education Research: Case Amazon MTurk. Koli Calling (2020)
Petri Ihantola, Ilenia Fronza, Tommi Mikkonen, Miska Noponen, Arto Hellas
Deadlines and MOOCs: How Do Students Behave in MOOCs with and without Deadlines. FIE (2020)
Albina Zavgorodniaia, Rodrigo Duran, Arto Hellas, Otto Seppälä, Juha Sorva
Measuring the Cognitive Load of Learning to Program: A Replication Study. UKICER (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arto Hellas