From 4672582628fdf413e24bcddb997f4451420d8467 Mon Sep 17 00:00:00 2001 From: Charlotte Van Petegem Date: Tue, 7 May 2024 17:20:45 +0200 Subject: [PATCH] Provide full bibliographic details of articles chapters are based on in the introduction of those chapters --- book.org | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/book.org b/book.org index 2110fc0..d6b7ce2 100644 --- a/book.org +++ b/book.org @@ -640,7 +640,7 @@ Finally, Chapter\nbsp{}[[#chap:discussion]] concludes the dissertation with some :END: 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 :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 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]]. -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 :PROPERTIES: @@ -2100,7 +2100,8 @@ The DSL version of the test plan for the example exercise can be seen in Listing :END: 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 :PROPERTIES: