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Provide full bibliographic details of articles chapters are based on in the introduction of those chapters

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Charlotte Van Petegem 2024-05-07 17:20:45 +02:00
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@ -640,7 +640,7 @@ Finally, Chapter\nbsp{}[[#chap:discussion]] concludes the dissertation with some
:END: :END:
In this chapter, we will give an overview of Dodona's most important features. In this chapter, we will give an overview of Dodona's most important features.
This chapter is partially based on\nbsp{}[cite/t:@vanpetegemDodonaLearnCode2023], published in SoftwareX. This chapter is partially based on *Van Petegem, C.*, Maertens, R., Strijbol, N., Van Renterghem, J., Van der Jeugt, F., De Wever, B., Dawyndt, P., Mesuere, B., 2023. Dodona: Learn to code with a virtual co-teacher that supports active learning. /SoftwareX/ 24, 101578. https://doi.org/10.1016/j.softx.2023.101578
** User management ** User management
:PROPERTIES: :PROPERTIES:
@ -936,7 +936,7 @@ This chapter discusses the use of Dodona.
We start by mentioning some facts and figures, and discussing a user study we performed. We start by mentioning some facts and figures, and discussing a user study we performed.
We then explain how Dodona can be used on the basis of a case study. We then explain how Dodona can be used on the basis of a case study.
This case study also provides insight into the educational context for the research described in Chapters\nbsp{}[[#chap:passfail]]\nbsp{}and\nbsp{}[[#chap:feedback]]. This case study also provides insight into the educational context for the research described in Chapters\nbsp{}[[#chap:passfail]]\nbsp{}and\nbsp{}[[#chap:feedback]].
The chapter is partially based on\nbsp{}[cite/t:@vanpetegemDodonaLearnCode2023], published in SoftwareX. This chapter is partially based on *Van Petegem, C.*, Maertens, R., Strijbol, N., Van Renterghem, J., Van der Jeugt, F., De Wever, B., Dawyndt, P., Mesuere, B., 2023. Dodona: Learn to code with a virtual co-teacher that supports active learning. /SoftwareX/ 24, 101578. https://doi.org/10.1016/j.softx.2023.101578
** Facts and figures ** Facts and figures
:PROPERTIES: :PROPERTIES:
@ -2100,7 +2100,8 @@ The DSL version of the test plan for the example exercise can be seen in Listing
:END: :END:
We now shift to the chapters where we make use of the data provided by Dodona to perform educational data mining research. We now shift to the chapters where we make use of the data provided by Dodona to perform educational data mining research.
This chapter is based on\nbsp{}[cite/t:@vanpetegemPassFailPrediction2022], published in the Journal of Educational Computing Research, and also briefly discusses the work performed in\nbsp{}[cite/t:@zhidkikhReproducingPredictiveLearning2024], published in the Journal of Learning Analytics. This chapter is based on *Van Petegem, C.*, Deconinck, L., Mourisse, D., Maertens, R., Strijbol, N., Dhoedt, B., De Wever, B., Dawyndt, P., Mesuere, B., 2022. Pass/Fail Prediction in Programming Courses. /Journal of Educational Computing Research/, 68–95. https://doi.org/10.1177/07356331221085595
It also briefly discusses the work performed in Zhidkikh, D., Heilala, V., *Van Petegem, C.*, Dawyndt, P., Järvinen, M., Viitanen, S., De Wever, B., Mesuere, B., Lappalainen, V., Kettunen, L., & Hämäläinen, R., 2024. Reproducing Predictive Learning Analytics in CS1: Toward Generalizable and Explainable Models for Enhancing Student Retention. /Journal of Learning Analytics/, 1-21. https://doi.org/10.18608/jla.2024.7979
** Introduction ** Introduction
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