Update bibliography

bibliography.bib

@@ -1781,6 +1781,25 @@
   file = {/home/charlotte/sync/Zotero/storage/98H8W237/Maertens et al. - Dolos Language-agnostic plagiarism detection in s.pdf;/home/charlotte/sync/Zotero/storage/SM9PZIIZ/jcal.html}
 }
 
+@inproceedings{maertensDolosSeamlessSource2023,
+  title = {Dolos 2.0: {{Towards Seamless Source Code Plagiarism Detection}} in {{Online Learning Environments}}},
+  shorttitle = {Dolos 2.0},
+  booktitle = {Proceedings of the 2023 {{Conference}} on {{Innovation}} and {{Technology}} in {{Computer Science Education V}}. 2},
+  author = {Maertens, Rien and Dawyndt, Peter and Mesuere, Bart},
+  year = {2023},
+  month = jun,
+  series = {{{ITiCSE}} 2023},
+  pages = {632},
+  publisher = {{Association for Computing Machinery}},
+  address = {{New York, NY, USA}},
+  doi = {10.1145/3587103.3594166},
+  urldate = {2023-11-16},
+  abstract = {With the increasing demand for programming skills comes a trend towards more online programming courses and assessments. While this allows educators to teach larger groups of students, it also opens the door to dishonest student behaviour, such as copying code from other students. When teachers use assignments where all students write code for the same problem, source code similarity tools can help to combat plagiarism. Unfortunately, teachers often do not use these tools to prevent such behaviour. In response to this challenge, we have developed a new source code plagiarism detection tool named Dolos. Dolos is open-source, supports a wide range of programming languages, and is designed to be user-friendly. It enables teachers to detect, prove and prevent plagiarism in programming courses by using fast algorithms and powerful visualisations. We present further enhancements to Dolos and discuss how it can be integrated into modern computing education courses to meet the challenges of online learning and assessment. By lowering the barriers for teachers to detect, prove and prevent plagiarism in programming courses, Dolos can help protect academic integrity and ensure that students earn their grades honestly.},
+  isbn = {9798400701399},
+  keywords = {plagiarism detection,programming education,similarity detection},
+  file = {/home/charlotte/sync/Zotero/storage/35UGGC92/Maertens et al. - 2023 - Dolos 2.0 Towards Seamless Source Code Plagiarism.pdf}
+}
+
 @article{malouffBiasGradingMetaanalysis2016,
   title = {Bias in Grading: {{A}} Meta-Analysis of Experimental Research Findings},
   shorttitle = {Bias in Grading},
@@ -2842,6 +2861,25 @@
   file = {/home/charlotte/sync/Zotero/storage/KM7R4LCV/5387105.html}
 }
 
+@inproceedings{strijbolBlinkEducationalSoftware2023,
+  title = {Blink: {{An Educational Software Debugger}} for {{Scratch}}},
+  shorttitle = {Blink},
+  booktitle = {Proceedings of the 2023 {{Conference}} on {{Innovation}} and {{Technology}} in {{Computer Science Education V}}. 2},
+  author = {Strijbol, Niko and Scholliers, Christophe and Dawyndt, Peter},
+  year = {2023},
+  month = jun,
+  series = {{{ITiCSE}} 2023},
+  pages = {648},
+  publisher = {{Association for Computing Machinery}},
+  address = {{New York, NY, USA}},
+  doi = {10.1145/3587103.3594189},
+  urldate = {2023-11-16},
+  abstract = {Debugging is an important aspect of programming. Most programming languages have some features and tools to facilitate debugging. As the debugging process is also frustrating, it requires good scaffolding, in which a debugger can be a useful tool [3]. Scratch is a visual block-based programming language that is commonly used to teach programming to children, aged 10--14 [4]. It comes with its own integrated development environment (IDE), where children can edit and run their code. This IDE misses some of the tools that are available in traditional IDEs, such as a debugger. In response to this challenge, we developed Blink. Blink is a debugger for Scratch with the aim of being usable to the young audience that typically uses Scratch. We present the currently implemented features of the debugger, and the challenges we faced while implementing those, both from a user-experience standpoint and a technical standpoint.},
+  isbn = {9798400701399},
+  keywords = {programming education,scratch debugger,visual programming languages},
+  file = {/home/charlotte/sync/Zotero/storage/B67ZZRDB/Strijbol et al. - 2023 - Blink An Educational Software Debugger for Scratc.pdf}
+}
+
 @article{strijbolTESTedEducationalTesting2023,
   title = {{{TESTed}}\textemdash{{An}} Educational Testing Framework with Language-Agnostic Test Suites for Programming Exercises},
   author = {Strijbol, Niko and Van Petegem, Charlotte and Maertens, Rien and Sels, Boris and Scholliers, Christophe and Dawyndt, Peter and Mesuere, Bart},
@@ -2968,6 +3006,25 @@
   file = {/home/charlotte/sync/Zotero/storage/J5SWQJST/Van Petegem et al. - 2023 - Dodona Learn to code with a virtual co-teacher th.pdf;/home/charlotte/sync/Zotero/storage/MK2GCFAF/S2352711023002741.html}
 }
 
+@inproceedings{vanpetegemDodonaLearnCode2023a,
+  title = {Dodona: {{Learn}} to {{Code}} with a {{Virtual Co-teacher}} That {{Supports Active Learning}}},
+  shorttitle = {Dodona},
+  booktitle = {Proceedings of the 2023 {{Conference}} on {{Innovation}} and {{Technology}} in {{Computer Science Education V}}. 2},
+  author = {Van Petegem, Charlotte and Dawyndt, Peter and Mesuere, Bart},
+  year = {2023},
+  month = jun,
+  series = {{{ITiCSE}} 2023},
+  pages = {633},
+  publisher = {{Association for Computing Machinery}},
+  address = {{New York, NY, USA}},
+  doi = {10.1145/3587103.3594165},
+  urldate = {2023-11-16},
+  abstract = {Dodona (dodona.ugent.be) is an intelligent tutoring system for learning computer programming, statistics and data science. It bridges the gap between assessment and learning by providing real-time data and feedback to help students learn better, teachers teach better and educational technology become more effective. We show how Dodona can be used as a virtual co-teacher to stimulate active learning and support challenge-based education in open and collaborative learning environments. We also highlight some of the opportunities and challenges we have faced in practice. Dodona is free to use and has more than 50 thousand registered users across many educational and research institutions, including 15 thousand new users in the last year. Dodona's source code is available on GitHub under the permissive MIT open-source license.},
+  isbn = {9798400701399},
+  keywords = {active learning,automated assessment,classroom management,computer programming,computer-assisted learning,computer-assisted teaching,feedback,intelligent tutoring system,learning analytics},
+  file = {/home/charlotte/sync/Zotero/storage/VJLK34R8/Van Petegem et al. - 2023 - Dodona Learn to Code with a Virtual Co-teacher th.pdf}
+}
+
 @article{vanpetegemPassFailPrediction2022,
   title = {Pass/{{Fail Prediction}} in {{Programming Courses}}},
   author = {Van Petegem, Charlotte and Deconinck, Louise and Mourisse, Dieter and Maertens, Rien and Strijbol, Niko and Dhoedt, Bart and De Wever, Bram and Dawyndt, Peter and Mesuere, Bart},