Arto Hellas

According to our database, Arto Hellas authored at least 128 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Computing Education in the Era of Generative AI.

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

Commun. ACM, February, 2024

On the Opportunities of Large Language Models for Programming Process Data.

John Edwards, Arto Hellas, Juho Leinonen

CoRR, 2024

Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks.

Leonardo Pasquarelli, Charles Koutcheme, Arto Hellas

CoRR, 2024

Evaluating Language Models for Generating and Judging Programming Feedback.

Charles Koutcheme, Nicola Dainese, Arto Hellas, Sami Sarsa, Juho Leinonen, Syed Ashraf, Paul Denny

CoRR, 2024

Benchmarking Educational Program Repair.

Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny

CoRR, 2024

Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study.

Judy Sheard, Paul Denny, Arto Hellas, Juho Leinonen, Lauri Malmi, Simon

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Solving Proof Block Problems Using Large Language Models.

Seth Poulsen, Sami Sarsa, James Prather, Juho Leinonen, Brett A. Becker, Arto Hellas, Paul Denny, Brent N. Reeves

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students.

Stephen MacNeil, Magdalena Rogalska, Juho Leinonen, Paul Denny, Arto Hellas, Xandria Crosland

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 2024

Discussing the Changing Landscape of Generative AI in Computing Education.

Stephen MacNeil, Juho Leinonen, Paul Denny, Natalie Kiesler, Arto Hellas, James Prather, Brett A. Becker, Michel Wermelinger, Karen Reid

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Experiences from Integrating Large Language Model Chatbots into the Classroom.

Arto Hellas, Juho Leinonen, Leo Leppänen

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 2024

Using Large Language Models for Teaching Computing.

Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Propagating Large Language Models Programming Feedback.

Charles Koutcheme, Arto Hellas

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge.

Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Analyzing Students' Preferences for LLM-Generated Analogies.

Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models.

Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions.

Teemu Lehtinen, Charles Koutcheme, Arto Hellas

Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, 2024

Evaluating Contextually Personalized Programming Exercises Created with Generative AI.

Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen

Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden

Proceedings of the 17th International Conference on Educational Data Mining, 2024

From Sparse to Smart: Leveraging AI for Effective Online Judge Problem Classification in Programming Education.

Filipe Dwan Pereira, Maely Moraes, Marcelo Henrique Oliveira Henklain, Arto Hellas, Elaine Oliveira, Dragan Gasevic, Raimundo S. Barreto, Rafael Mello

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Using Program Repair as a Proxy for Language Models' Feedback Ability in Programming Education.

Charles Koutcheme, Nicola Dainese, Arto Hellas

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models.

Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim

Proceedings of the 26th Australasian Computing Education Conference, 2024

2023

Synthesizing research on programmers' mental models of programs, tasks and concepts - A systematic literature review.

Ava Heinonen, Bettina Lehtelä, Arto Hellas, Fabian Fagerholm

Inf. Softw. Technol., December, 2023

Human vs Machine: Comparison of Student-generated and AI-generated Educational Content.

Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa

CoRR, 2023

Lessons Learned From Four Computing Education Crowdsourcing Systems.

Nea Pirttinen, Paul Denny, Arto Hellas, Juho Leinonen

IEEE Access, 2023

The State of Disappearing Frameworks in 2023.

Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa

Proceedings of the 19th International Conference on Web Information Systems and Technologies, 2023

Implications of Edge Computing for Static Site Generation.

Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa

Proceedings of the 19th International Conference on Web Information Systems and Technologies, 2023

Exploring the Interplay of Achievement Goals, Self-Efficacy, Prior Experience and Course Achievement.

Hannu Pesonen, Juho Leinonen, Lassi Haaranen, Arto Hellas

Proceedings of the 2023 Conference on United Kingdom & Ireland Computing Education Research, 2023

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, Juho Leinonen

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Automatically Generating CS Learning Materials with Large Language Models.

Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

The Implications of Large Language Models for CS Teachers and Students.

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

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Time-constrained Code Recall Tasks for Monitoring the Development of Programming Plans.

Ava Heinonen, Arto Hellas

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Using Large Language Models to Enhance Programming Error Messages.

Juho Leinonen, Arto Hellas, Sami Sarsa, Brent N. Reeves, Paul Denny, James Prather, Brett A. Becker

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Understanding Pathways to Computing Education Research (CER).

Lauri Malmi, Arto Hellas, Kate Sanders

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

Decades of Striving for Pedagogical and Technological Alignment.

Lassi Haaranen, Lukas Ahrenberg, Arto Hellas

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations.

Brent N. Reeves, Sami Sarsa, James Prather, Paul Denny, Brett A. Becker, Arto Hellas, Bailey Kimmel, Garrett B. Powell, Juho Leinonen

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Seeing Program Output Improves Novice Learning Gains.

Juho Leinonen, Arto Hellas, John Edwards

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Comparing Code Explanations Created by Students and Large Language Models.

Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

The Rise of Disappearing Frameworks in Web Development.

Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa

Proceedings of the Web Engineering - 23rd International Conference, 2023

Factors Affecting Compilable State at Each Keystroke in CS1.

Steven Scott, Arto Hellas, Juho Leinonen, John Edwards

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2023

Evaluating Distance Measures for Program Repair.

Charles Koutcheme, Sami Sarsa, Juho Leinonen, Lassi Haaranen, Arto Hellas

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests.

Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Automated Program Repair Using Generative Models for Code Infilling.

Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Experiences from Learnersourcing SQL Exercises: Do They Cover Course Topics and Do Students Use Them?

Nea Pirttinen, Arto Hellas, Juho Leinonen

Proceedings of the 25th Australasian Computing Education Conference, 2023

Computing Education Research in Finland.

Lauri Malmi, Arto Hellas, Petri Ihantola, Ville Isomöttönen, Ilkka Jormanainen, Terhi Kilamo, Antti Knutas, Ari Korhonen, Mikko-Jussi Laakso, Sonsoles López-Pernas, Timo Poranen, Tapio Salakoski, Jarkko Suhonen

Proceedings of the Past, 2023

2022

Time-on-task metrics for predicting performance.

Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas

Inroads, 2022

Speeding Up Automated Assessment of Programming Exercises.

Sami Sarsa, Juho Leinonen, Charles Koutcheme, Arto Hellas

Proceedings of the UKICER 2022: The United Kingdom and Ireland Computing Education Research Conference, Dublin, Ireland, September 1, 2022

Weekly Fluctuations in Motivation in Introductory Programming.

Hannu Pesonen, Arto Hellas

Proceedings of the UKICER 2022: The United Kingdom and Ireland Computing Education Research Conference, Dublin, Ireland, September 1, 2022

Coverage of Course Topics in Learnersourced SQL Exercises.

Nea Pirttinen, Arto Hellas, Juho Leinonen

Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), 2022

Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing.

Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen

Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), 2022

Finding Significant p in Coffee or Tea: Mildly Distasteful.

Sami Sarsa, Arto Hellas, Juho Leinonen

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

Experiences With and Lessons Learned on Deadlines and Submission Behavior.

Francisco Enrique Vicente Castro, Juho Leinonen, Arto Hellas

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

Trends From Computing Education Research Conferences: Increasing Submissions and Decreasing Acceptance Rates.

Juho Leinonen, Nea Pirttinen, Arto Hellas

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

Who Continues in a Series of Lifelong Learning Courses?

Sami Sarsa, Arto Hellas, Juho Leinonen

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course.

Charles Koutcheme, Artturi Tilanterä, Aleksi Peltonen, Arto Hellas, Lassi Haaranen

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Parsons Problems and Beyond: Systematic Literature Review and Empirical Study Designs.

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

Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 2022

Planning a Multi-institutional and Multi-national Study of the Effectiveness of Parsons Problems.

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

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Pausing While Programming: Insights From Keystroke Analysis.

Raj Shrestha, Juho Leinonen, Albina Zavgorodniaia, Arto Hellas, John Edwards

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022

Seeking Flow from Fine-Grained Log Data.

Benjamin Ultan Cowley, Arto Hellas, Petri Ihantola, Juho Leinonen, Michiel M. A. Spapé

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022

Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models.

Sami Sarsa, Paul Denny, Arto Hellas, Juho Leinonen

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

How to Help to Ask for Help? Help Request Prompt Structure Influence on Help Request Quantity and Course Retention.

Sami Sarsa, Jesper Pettersson, Arto Hellas

Proceedings of the IEEE Frontiers in Education Conference, 2022

On Things that Matter in Learning Programming: Towards a Scale for New Programming Students.

Hannu Pesonen, Arto Hellas

Proceedings of the IEEE Frontiers in Education Conference, 2022

Piloting Natural Language Generation for Personalized Progress Feedback.

Leo Leppänen, Arto Hellas, Juho Leinonen

Proceedings of the IEEE Frontiers in Education Conference, 2022

Evaluating CodeClusters for Effectively Providing Feedback on Code Submissions.

Teemu Koivisto, Arto Hellas

Proceedings of the IEEE Frontiers in Education Conference, 2022

CodeProcess Charts: Visualizing the Process of Writing Code.

Raj Shrestha, Juho Leinonen, Arto Hellas, Petri Ihantola, John Edwards

Proceedings of the ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14, 2022

Methodological Considerations for Predicting At-risk Students.

Charles Koutcheme, Sami Sarsa, Arto Hellas, Lassi Haaranen, Juho Leinonen

Proceedings of the ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14, 2022

2021

Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation.

Sami Sarsa, Juho Leinonen, Arto Hellas

CoRR, 2021

A Kingdom for a Button: Students' Thoughts about Buttons.

Aleksi Lukkarinen, Arto Hellas, Lassi Haaranen

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes.

Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Morning or Evening? An Examination of Circadian Rhythms of CS1 Students.

Albina Zavgorodniaia, Raj Shrestha, Juho Leinonen, Arto Hellas, John Edwards

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2021

Algorithm Visualization and the Elusive Modality Effect.

Albina Zavgorodniaia, Artturi Tilanterä, Ari Korhonen, Otto Seppälä, Arto Hellas, Juha Sorva

Proceedings of the ICER 2021: ACM Conference on International Computing Education Research, 2021

Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming.

Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Measuring the Cognitive Load of Learning to Program: A Replication Study.

Albina Zavgorodniaia, Rodrigo Duran, Arto Hellas, Otto Seppälä, Juha Sorva

Proceedings of the United Kingdom & Ireland Computing Education Research Conference, 2020

Exploring the Instructional Efficiency of Representation and Engagement in Online Learning Materials.

Ava Heinonen, Arto Hellas

Proceedings of the United Kingdom & Ireland Computing Education Research Conference, 2020

Code Reviews, Software Inspections, and Code Walkthroughs: Systematic Mapping Study of Research Topics.

Ilenia Fronza, Arto Hellas, Petri Ihantola, Tommi Mikkonen

Proceedings of the Software Quality: Quality Intelligence in Software and Systems Engineering, 2020

A Study of Keystroke Data in Two Contexts: Written Language and Programming Language Influence Predictability of Learning Outcomes.

John Edwards, Juho Leinonen, Arto Hellas

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Gender Differences in Introductory Programming: Comparing MOOCs and Local Courses.

Rodrigo Duran, Lassi Haaranen, Arto Hellas

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study.

Albina Zavgorodniaia, Arto Hellas, Otto Seppälä, Juha Sorva

Proceedings of the Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research, 2020

Crowdsourcing in Computing Education Research: Case Amazon MTurk.

Arto Hellas, Albina Zavgorodniaia, Juha Sorva

Proceedings of the Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research, 2020

Achievement Goal Orientation Profiles and Performance in a Programming MOOC.

Kukka-Maaria Polso, Heta Tuominen, Arto Hellas, Petri Ihantola

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Crowdsourcing Content Creation for SQL Practice.

Juho Leinonen, Nea Pirttinen, Arto Hellas

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Notional Machines in Computing Education: The Education of Attention.

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

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2020

Capturing and Characterising Notional Machines.

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

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Teaching Container-Based DevOps Practices.

Jami Kousa, Petri Ihantola, Arto Hellas, Matti Luukkainen

Proceedings of the Web Engineering - 20th International Conference, 2020

Programming Versus Natural Language: On the Effect of Context on Typing in CS1.

John Edwards, Juho Leinonen, Chetan Birthare, Albina Zavgorodniaia, Arto Hellas

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Study Major, Gender, and Confidence Gap: Effects on Experience, Performance, and Self-Efficacy in Introductory Programming.

Nea Pirttinen, Arto Hellas, Lassi Haaranen, Rodrigo Duran

Proceedings of the IEEE Frontiers in Education Conference, 2020

Deadlines and MOOCs: How Do Students Behave in MOOCs with and without Deadlines.

Petri Ihantola, Ilenia Fronza, Tommi Mikkonen, Miska Noponen, Arto Hellas

Proceedings of the IEEE Frontiers in Education Conference, 2020

On the Differences in Time That Students Take to Write Solutions to Programming Problems.

Fabian Fagerholm, Arto Hellas

Proceedings of the IEEE Frontiers in Education Conference, 2020

Relation of Individual Time Management Practices and Time Management of Teams.

Tapio Auvinen, Nickolas J. G. Falkner, Arto Hellas, Petri Ihantola, Ville Karavirta, Otto Seppälä

Proceedings of the IEEE Frontiers in Education Conference, 2020

2019

Experimenting with Model Solutions as a Support Mechanism.

Henrik Nygren, Juho Leinonen, Nea Pirttinen, Antti Leinonen, Arto Hellas

Proceedings of the 1st UK & Ireland Computing Education Research Conference, 2019

Exploring the Applicability of Simple Syntax Writing Practice for Learning Programming.

Antti Leinonen, Henrik Nygren, Nea Pirttinen, Arto Hellas, Juho Leinonen

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Review and Use of Learning Theories within Computer Science Education Research: Primer for Researchers and Practitioners.

Claudia Szabo, Nickolas J. G. Falkner, Andrew Petersen, Heather Bort, Kathryn Cunningham, Peter Donaldson, Arto Hellas, James Robinson, Judy Sheard

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2019

A Periodic Table of Computing Education Learning Theories.

Claudia Szabo, Nickolas J. G. Falkner, Andrew Petersen, Heather Bort, Cornelia Connolly, Kathryn Cunningham, Peter Donaldson, Arto Hellas, James Robinson, Judy Sheard

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Non-restricted Access to Model Solutions: A Good Idea?

Henrik Nygren, Juho Leinonen, Arto Hellas

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Towards a Common Instrument for Measuring Prior Programming Knowledge.

Rodrigo Silva Duran, Jan-Mikael Rybicki, Arto Hellas, Sanna Suoranta

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Admitting Students through an Open Online Course in Programming: A Multi-year Analysis of Study Success.

Juho Leinonen, Petri Ihantola, Antti Leinonen, Henrik Nygren, Jaakko Kurhila, Matti Luukkainen, Arto Hellas

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Exploring the Value of Student Self-Evaluation in Introductory Programming.

Rodrigo Duran, Jan-Mikael Rybicki, Juha Sorva, Arto Hellas

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Does Creating Programming Assignments with Tests Lead to Improved Performance in Writing Unit Tests?

Vilma Kangas, Nea Pirttinen, Henrik Nygren, Juho Leinonen, Arto Hellas

Proceedings of the ACM Conference on Global Computing Education, 2019

An Exploration of Cognitive Shifting in Writing Code.

Ilenia Fronza, Arto Hellas, Petri Ihantola, Tommi Mikkonen

Proceedings of the ACM Conference on Global Computing Education, 2019

2018

Designing and implementing an environment for software start-up education: Patterns and anti-patterns.

Fabian Fagerholm, Arto Hellas, Matti Luukkainen, Kati Kyllonen, Sezin Gizem Yaman, Hanna Mäenpää

J. Syst. Softw., 2018

Transfer-Learning Methods in Programming Course Outcome Prediction.

Jarkko Lagus, Krista Longi, Arto Klami, Arto Hellas

ACM Trans. Comput. Educ., 2018

Achievement Goals in CS1: Replication and Extension.

Daniel Zingaro, Michelle Craig, Leo Porter, Brett A. Becker, Yingjun Cao, Phillip T. Conrad, Diana Cukierman, Arto Hellas, Dastyni Loksa, Neena Thota

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Social Help-seeking Strategies in a Programming MOOC.

Matti Nelimarkka, Arto Hellas

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Subgoal Labeled Worked Examples in K-3 Education.

Johanna Joentausta, Arto Hellas

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Supporting Self-Regulated Learning with Visualizations in Online Learning Environments.

Kalle Ilves, Juho Leinonen, Arto Hellas

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics.

Onni Aarne, Petrus Peltola, Juho Leinonen, Arto Hellas

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Analysis of Students' Peer Reviews to Crowdsourced Programming Assignments.

Nea Pirttinen, Vilma Kangas, Henrik Nygren, Juho Leinonen, Arto Hellas

Proceedings of the 18th Koli Calling International Conference on Computing Education Research, 2018

Crowdsourcing programming assignments with CrowdSorcerer.

Nea Pirttinen, Vilma Kangas, Irene Nikkarinen, Henrik Nygren, Juho Leinonen, Arto Hellas

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Predicting academic performance: a systematic literature review.

Arto Hellas, Petri Ihantola, Andrew Petersen, Vangel V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris H. Messom, Soohyun Nam Liao

Proceedings of the Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Taxonomizing features and methods for identifying at-risk students in computing courses.

Arto Hellas, Petri Ihantola, Andrew Petersen, Vangel V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris H. Messom, Soohyun Nam Liao

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Learning programming, syntax errors and institution-specific factors.

Alireza Ahadi, Raymond Lister, Shahil Lal, Arto Hellas

Proceedings of the 20th Australasian Computing Education Conference, Brisbane, QLD, Australia, January 30, 2018

2017

A Contingency Table Derived Method for Analyzing Course Data.

Alireza Ahadi, Arto Hellas, Raymond Lister

ACM Trans. Comput. Educ., 2017

Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and Traditional Courses.

Roya Hosseini, Peter Brusilovsky, Michael Yudelson, Arto Hellas

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Predicting Academic Success Based on Learning Material Usage.

Leo Leppänen, Juho Leinonen, Petri Ihantola, Arto Hellas

Proceedings of the 18th Annual Conference on Information Technology Education and the 6th Annual Conference on Research in Information Technology, 2017

Progsnap: Sharing Programming Snapshots for Research (Abstract Only).

David Hovemeyer, Arto Hellas, Andrew Petersen, Jaime Spacco

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Preventing Keystroke Based Identification in Open Data Sets.

Juho Leinonen, Petri Ihantola, Arto Hellas

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Thought crimes and profanities whilst programming.

Juho Leinonen, Arto Hellas

Proceedings of the 17th Koli Calling Conference on Computing Education Research, 2017

Plagiarism in Take-home Exams: Help-seeking, Collaboration, and Systematic Cheating.

Arto Hellas, Juho Leinonen, Petri Ihantola

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017

Early Developmental Activities and Computing Proficiency.

Quintin I. Cutts, Elizabeth Patitsas, Elizabeth Cole, Peter Donaldson, Bedour Alshaigy, Mirela Gutica, Arto Hellas, Edurne Larraza-Mendiluze, Robert McCartney, Charles Riedesel

Proceedings of the 2017 ITiCSE Working Group Reports, 2017

Searching for Early Developmental Activities Leading to Computational Thinking Skills.

Quintin I. Cutts, Peter Donaldson, Elizabeth Cole, Bedour Alshaigy, Mirela Gutica, Arto Hellas, Edurne Larraza-Mendiluze, Robert McCartney, Elizabeth Patitsas, Charles Riedesel

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017

Adolescent and Adult Student Attitudes Towards Progress Visualizations.

Onni Aarne, Petrus Peltola, Antti Leinonen, Juho Leinonen, Arto Hellas

Proceedings of the Informatics in Schools: Focus on Learning Programming, 2017

Assessing IOT Projects in University Education - A Framework for Problem-Based Learning.

Hanna Mäenpää, Samu Varjonen, Arto Hellas, Sasu Tarkoma, Tomi Männistö

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training Track, 2017

Using and Collecting Fine-Grained Usage Data to Improve Online Learning Materials.

Leo Leppänen, Juho Leinonen, Petri Ihantola, Arto Hellas

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training Track, 2017

Comparison of Time Metrics in Programming.

Juho Leinonen, Leo Leppänen, Petri Ihantola, Arto Hellas

Proceedings of the 2017 ACM Conference on International Computing Education Research, 2017

Patterns for Designing and Implementing an Environment for Software Start-Up Education.

Fabian Fagerholm, Arto Hellas, Matti Luukkainen, Kati Kyllonen, Sezin Gizem Yaman, Hanna Mäenpää

Proceedings of the 43rd Euromicro Conference on Software Engineering and Advanced Applications, 2017

Performance and Consistency in Learning to Program.

Alireza Ahadi, Raymond Lister, Shahil Lal, Juho Leinonen, Arto Hellas

Proceedings of the Nineteenth Australasian Computing Education Conference, 2017

2016

Pauses and spacing in learning to program.

Leo Leppänen, Juho Leinonen, Arto Hellas

Proceedings of the 16th Koli Calling International Conference on Computing Education Research, 2016

Replication in computing education research: researcher attitudes and experiences.

Alireza Ahadi, Arto Hellas, Petri Ihantola, Ari Korhonen, Andrew Petersen

Proceedings of the 16th Koli Calling International Conference on Computing Education Research, 2016

Control-Flow-Only Abstract Syntax Trees for Analyzing Students' Programming Progress.

David Hovemeyer, Arto Hellas, Andrew Petersen, Jaime Spacco

Proceedings of the 2016 ACM Conference on International Computing Education Research, 2016