Hellas, Arto

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

Sarsa, S., Denny, P., Hellas, A., & Leinonen, J. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 497

Predicting academic performance: a systematic literature review

Hellas, A., Ihantola, P., Petersen, A., Ajanovski, V. V., Gutica, M., Hynninen, T., Knutas, A., Leinonen, J., Messom, C., & Liao, S. N. (2018) · Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 355

Computing Education in the Era of Generative AI

Denny, P., Prather, J., Becker, B. A., Finnie-Ansley, J., Hellas, A., Leinonen, J., Luxton-Reilly, A., Reeves, B. N., Santos, E. A., & Sarsa, S. (2024) · Communications of the ACM

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 316

Using Large Language Models to Enhance Programming Error Messages

Leinonen, J., Hellas, A., Sarsa, S., Reeves, B., Denny, P., Prather, J., & Becker, B. A. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 235

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

Hellas, A., Leinonen, J., Sarsa, S., Koutcheme, C., Kujanpää, L., & Sorva, J. (2023) · arXiv

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 211

Comparing Code Explanations Created by Students and Large Language Models

Leinonen, J., Denny, P., MacNeil, S., Sarsa, S., Bernstein, S., Kim, J., Tran, A., & Hellas, A. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 210

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book

MacNeil, S., Tran, A., Hellas, A., Kim, J., Sarsa, S., Denny, P., Bernstein, S., & Leinonen, J. (2022) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 195

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book

MacNeil, S., Tran, A., Hellas, A., Kim, J., Sarsa, S., Denny, P., Bernstein, S., & Leinonen, J. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 195

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

Hellas, A., Leinonen, J., Sarsa, S., Koutcheme, C., Kujanpää, L., & Sorva, J. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research V.1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 145

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

Reeves, B., Sarsa, S., Prather, J., Denny, P., Becker, B. A., Hellas, A., Kimmel, B., Powell, G., & Leinonen, J. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 56

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

Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L., & Simon (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 54

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

Hellas, A., Leinonen, J., & Ihantola, P. (2017) · Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

Academic integrity and plagiarismEducational Technology and Assessment

Cited by 50

Replication in computing education research: researcher attitudes and experiences

Ahadi, A., Hellas, A., Ihantola, P., Korhonen, A., & Petersen, A. (2016) · Proceedings of the 16th Koli Calling International Conference on Computing Education Research

Teaching and Learning ProgrammingEducational Research and Methods

Cited by 48

Achievement Goals in CS1: Replication and Extension

Zingaro, D., Craig, M., Porter, L., Becker, B. A., Cao, Y., Conrad, P., Cukierman, D., Hellas, A., Loksa, D., & Thota, N. (2018) · Proceedings of the 49th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingEducation, Achievement, and Giftedness

Cited by 35

Exploring the Applicability of Simple Syntax Writing Practice for Learning Programming

Leinonen, A., Nygren, H., Pirttinen, N., Hellas, A., & Leinonen, J. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 27

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

Leinonen, J., Castro, F. E. V., & Hellas, A. (2021) · Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 23

Robosourcing Educational Resources -- Leveraging Large Language Models for Learnersourcing

Denny, P., Sarsa, S., Hellas, A., & Leinonen, J. (2022) · arXiv

Artificial Intelligence in EducationTeaching and Learning Programming

Cited by 21

Time-on-Task Metrics for Predicting Performance

Leinonen, J., Castro, F. E. V., & Hellas, A. (2022) · Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 18

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

Zavgorodniaia, A., Shrestha, R., Leinonen, J., Hellas, A., & Edwards, J. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 13

CodeProcess Charts: Visualizing the Process of Writing Code

Shrestha, R., Leinonen, J., Hellas, A., Ihantola, P., & Edwards, J. (2022) · Proceedings of the 24th Australasian Computing Education Conference

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 13

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

Nygren, H., Leinonen, J., & Hellas, A. (2019) · Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 7

Experimenting with Model Solutions as a Support Mechanism

Nygren, H., Leinonen, J., Pirttinen, N., Leinonen, A., & Hellas, A. (2019) · Proceedings of the 1st UK & Ireland Computing Education Research Conference on - UKICER

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 4