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2020 – today
- 2024
[j7]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)- [c110]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 - [c109]Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen:
Evaluating Contextually Personalized Programming Exercises Created with Generative AI. ICER (1) 2024: 95-113 - [c108]Teemu Lehtinen, Charles Koutcheme, Arto Hellas:
Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions. SEET@ICSE 2024: 221-232 - [c107]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 - [c106]Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil:
Analyzing Students' Preferences for LLM-Generated Analogies. ITiCSE (2) 2024 - [c105]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 - [c104]Charles Koutcheme, Arto Hellas:
Propagating Large Language Models Programming Feedback. L@S 2024: 366-370 - [c103]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 - [c102]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 - [c101]Juho Leinonen, Stephen MacNeil, Paul Denny, Arto Hellas:
Using Large Language Models for Teaching Computing. SIGCSE (2) 2024: 1901 - [c100]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 - [i24]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) - [i23]Teemu Lehtinen, Charles Koutcheme, Arto Hellas:
Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions. CoRR abs/2404.11734 (2024) - [i22]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) - [i21]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Benchmarking Educational Program Repair. CoRR abs/2405.05347 (2024) - [i20]Arto Hellas, Juho Leinonen, Leo Leppänen:
Experiences from Integrating Large Language Model Chatbots into the Classroom. CoRR abs/2406.04817 (2024) - [i19]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) - [i18]Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen:
Evaluating Contextually Personalized Programming Exercises Created with Generative AI. CoRR abs/2407.11994 (2024) - 2023
- [j6]Nea Pirttinen, Paul Denny, Arto Hellas, Juho Leinonen:
Lessons Learned From Four Computing Education Crowdsourcing Systems. IEEE Access 11: 22982-22992 (2023) - [j5]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: 107300 (2023) - [c99]Nea Pirttinen, Arto Hellas, Juho Leinonen:
Experiences from Learnersourcing SQL Exercises: Do They Cover Course Topics and Do Students Use Them? ACE 2023: 123-131 - [c98]Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Automated Program Repair Using Generative Models for Code Infilling. AIED 2023: 798-803 - [c97]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) 2023: 93-105 - [c96]Charles Koutcheme, Sami Sarsa, Juho Leinonen, Lassi Haaranen, Arto Hellas:
Evaluating Distance Measures for Program Repair. ICER (1) 2023: 495-507 - [c95]Steven Scott, Arto Hellas, Juho Leinonen, John Edwards:
Factors Affecting Compilable State at Each Keystroke in CS1. SEET@ICSE 2023: 314-323 - [c94]Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa:
The Rise of Disappearing Frameworks in Web Development. ICWE 2023: 319-326 - [c93]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 - [c92]Juho Leinonen, Arto Hellas, John Edwards:
Seeing Program Output Improves Novice Learning Gains. ITiCSE (1) 2023: 180-186 - [c91]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 - [c90]Lassi Haaranen, Lukas Ahrenberg, Arto Hellas:
Decades of Striving for Pedagogical and Technological Alignment. Koli Calling 2023: 23:1-23:8 - [c89]Lauri Malmi, Arto Hellas, Kate Sanders:
Understanding Pathways to Computing Education Research (CER). Koli Calling 2023: 44:1-44:2 - [c88]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 - [c87]Ava Heinonen, Arto Hellas:
Time-constrained Code Recall Tasks for Monitoring the Development of Programming Plans. SIGCSE (1) 2023: 806-812 - [c86]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 - [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 - [c83]Hannu Pesonen, Juho Leinonen, Lassi Haaranen, Arto Hellas:
Exploring the Interplay of Achievement Goals, Self-Efficacy, Prior Experience and Course Achievement. UKICER 2023: 9:1-9:7 - [c82]Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa:
Implications of Edge Computing for Static Site Generation. WEBIST 2023: 223-231 - [c81]Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa:
The State of Disappearing Frameworks in 2023. WEBIST 2023: 232-241 - [p1]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:
Computing Education Research in Finland. Past, Present and Future of Computing Education Research 2023: 335-372 - [i17]Nea Pirttinen, Arto Hellas, Juho Leinonen:
Coverage of Course Topics in Learnersourced SQL Exercises. CoRR abs/2301.07509 (2023) - [i16]Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa:
The Rise of Disappearing Frameworks in Web Development. CoRR abs/2304.01947 (2023) - [i15]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) - [i14]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) - [i13]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 abs/2306.05715 (2023) - [i12]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) - [i11]Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa:
The State of Disappearing Frameworks in 2023. CoRR abs/2309.04188 (2023) - [i10]Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa:
Implications of Edge Computing for Static Site Generation. CoRR abs/2309.05669 (2023) - [i9]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
- [j4]Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas:
Time-on-task metrics for predicting performance. Inroads 13(2): 42-49 (2022) - [c80]Raj Shrestha, Juho Leinonen, Arto Hellas, Petri Ihantola, John Edwards:
CodeProcess Charts: Visualizing the Process of Writing Code. ACE 2022: 46-55 - [c79]Charles Koutcheme, Sami Sarsa, Arto Hellas, Lassi Haaranen, Juho Leinonen:
Methodological Considerations for Predicting At-risk Students. ACE 2022: 105-113 - [c78]Teemu Koivisto, Arto Hellas:
Evaluating CodeClusters for Effectively Providing Feedback on Code Submissions. FIE 2022: 1-9 - [c77]Leo Leppänen, Arto Hellas, Juho Leinonen:
Piloting Natural Language Generation for Personalized Progress Feedback. FIE 2022: 1-8 - [c76]Hannu Pesonen, Arto Hellas:
On Things that Matter in Learning Programming: Towards a Scale for New Programming Students. FIE 2022: 1-9 - [c75]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: 1-9 - [c74]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 - [c73]Raj Shrestha, Juho Leinonen, Albina Zavgorodniaia, Arto Hellas, John Edwards:
Pausing While Programming: Insights From Keystroke Analysis. ICSE (SEET) 2022: 187-198 - [c72]Benjamin Ultan Cowley, Arto Hellas, Petri Ihantola, Juho Leinonen, Michiel M. A. Spapé:
Seeking Flow from Fine-Grained Log Data. ICSE (SEET) 2022: 247-253 - [c71]Sami Sarsa, Arto Hellas, Juho Leinonen:
Who Continues in a Series of Lifelong Learning Courses? ITiCSE (1) 2022: 47-53 - [c70]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: 75-81 - [c69]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 - [c68]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 - [c67]Francisco Enrique Vicente Castro, Juho Leinonen, Arto Hellas:
Experiences With and Lessons Learned on Deadlines and Submission Behavior. Koli Calling 2022: 25:1-25:13 - [c66]Sami Sarsa, Arto Hellas, Juho Leinonen:
Finding Significant p in Coffee or Tea: Mildly Distasteful. Koli Calling 2022: 27:1-27:2 - [c65]Juho Leinonen, Nea Pirttinen, Arto Hellas:
Trends From Computing Education Research Conferences: Increasing Submissions and Decreasing Acceptance Rates. Koli Calling 2022: 30:1-30:2 - [c64]Paul Denny, Sami Sarsa, Arto Hellas, Juho Leinonen:
Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing. LSGCS@L@S 2022: 3-19 - [c63]Nea Pirttinen, Arto Hellas, Juho Leinonen:
Coverage of Course Topics in Learnersourced SQL Exercises. LSGCS@L@S 2022: 20-24 - [c62]Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas:
Time-on-Task Metrics for Predicting Performance. SIGCSE (1) 2022: 871-877 - [c61]Hannu Pesonen, Arto Hellas:
Weekly Fluctuations in Motivation in Introductory Programming. UKICER 2022: 2:1-2:7 - [c60]Sami Sarsa, Juho Leinonen, Charles Koutcheme, Arto Hellas:
Speeding Up Automated Assessment of Programming Exercises. UKICER 2022: 3:1-3:7 - [i8]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) - [i7]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) - [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]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) - [i3]Ava Heinonen, Bettina Lehtelä, Arto Hellas, Fabian Fagerholm:
Synthesizing Research on Programmers' Mental Models of Programs, Tasks and Concepts - a Systematic Literature Review. CoRR abs/2212.07763 (2022) - 2021
- [c59]Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas:
Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming. EDM 2021 - [c58]Albina Zavgorodniaia, Artturi Tilanterä, Ari Korhonen, Otto Seppälä, Arto Hellas, Juha Sorva:
Algorithm Visualization and the Elusive Modality Effect. ICER 2021: 368-378 - [c57]Albina Zavgorodniaia, Raj Shrestha, Juho Leinonen, Arto Hellas, John Edwards:
Morning or Evening? An Examination of Circadian Rhythms of CS1 Students. ICSE (SEET) 2021: 261-272 - [c56]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 (1) 2021: 373-379 - [c55]Aleksi Lukkarinen, Arto Hellas, Lassi Haaranen:
A Kingdom for a Button: Students' Thoughts about Buttons. Koli Calling 2021: 21:1-21:6 - [i2]Albina Zavgorodniaia, Raj Shrestha, Juho Leinonen, Arto Hellas, John Edwards:
Morning or Evening? An Examination of Circadian Rhythms of CS1 Students. CoRR abs/2103.01752 (2021) - [i1]Sami Sarsa, Juho Leinonen, Arto Hellas:
Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation. CoRR abs/2112.15072 (2021) - 2020
- [c54]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: 1-9 - [c53]Fabian Fagerholm, Arto Hellas:
On the Differences in Time That Students Take to Write Solutions to Programming Problems. FIE 2020: 1-9 - [c52]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: 1-9 - [c51]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: 1-7 - [c50]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: 204-215 - [c49]Jami Kousa, Petri Ihantola, Arto Hellas, Matti Luukkainen:
Teaching Container-Based DevOps Practices. ICWE 2020: 494-502 - [c48]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-WGR 2020: 21-50 - [c47]Juho Leinonen, Nea Pirttinen, Arto Hellas:
Crowdsourcing Content Creation for SQL Practice. ITiCSE 2020: 349-355 - [c46]Kukka-Maaria Polso, Heta Tuominen, Arto Hellas, Petri Ihantola:
Achievement Goal Orientation Profiles and Performance in a Programming MOOC. ITiCSE 2020: 411-417 - [c45]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: 502-503 - [c44]Albina Zavgorodniaia, Arto Hellas, Otto Seppälä, Juha Sorva:
Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study. Koli Calling 2020: 5:1-5:10 - [c43]Arto Hellas, Albina Zavgorodniaia, Juha Sorva:
Crowdsourcing in Computing Education Research: Case Amazon MTurk. Koli Calling 2020: 32:1-32:5 - [c42]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: 413-419 - [c41]Rodrigo Duran, Lassi Haaranen, Arto Hellas:
Gender Differences in Introductory Programming: Comparing MOOCs and Local Courses. SIGCSE 2020: 692-698 - [c40]Ilenia Fronza, Arto Hellas, Petri Ihantola, Tommi Mikkonen:
Code Reviews, Software Inspections, and Code Walkthroughs: Systematic Mapping Study of Research Topics. SWQD 2020: 121-133 - [c39]Albina Zavgorodniaia, Rodrigo Duran, Arto Hellas, Otto Seppälä, Juha Sorva:
Measuring the Cognitive Load of Learning to Program: A Replication Study. UKICER 2020: 3-9 - [c38]Ava Heinonen, Arto Hellas:
Exploring the Instructional Efficiency of Representation and Engagement in Online Learning Materials. UKICER 2020: 38-44
2010 – 2019
- 2019
- [c37]Ilenia Fronza, Arto Hellas, Petri Ihantola, Tommi Mikkonen:
An Exploration of Cognitive Shifting in Writing Code. CompEd 2019: 65-71 - [c36]Vilma Kangas, Nea Pirttinen, Henrik Nygren, Juho Leinonen, Arto Hellas:
Does Creating Programming Assignments with Tests Lead to Improved Performance in Writing Unit Tests? CompEd 2019: 106-112 - [c35]Rodrigo Duran, Jan-Mikael Rybicki, Juha Sorva, Arto Hellas:
Exploring the Value of Student Self-Evaluation in Introductory Programming. ICER 2019: 121-130 - [c34]Juho Leinonen, Petri Ihantola, Antti Leinonen, Henrik Nygren, Jaakko Kurhila, Matti Luukkainen, Arto Hellas:
Admitting Students through an Open Online Course in Programming: A Multi-year Analysis of Study Success. ICER 2019: 279-287 - [c33]Henrik Nygren, Juho Leinonen, Arto Hellas:
Non-restricted Access to Model Solutions: A Good Idea? ITiCSE 2019: 44-50 - [c32]Claudia Szabo, Nickolas J. G. Falkner, Andrew Petersen, Heather Bort, Kathryn Cunningham, Peter Donaldson, Arto Hellas, James Robinson, Judy Sheard:
Review and Use of Learning Theories within Computer Science Education Research: Primer for Researchers and Practitioners. ITiCSE-WGR 2019: 89-109 - [c31]