From 0d1e2725f72b0683d79234d3d67145cfc326c0cd Mon Sep 17 00:00:00 2001
From: Charlotte Van Petegem <charlotte.vanpetegem@ugent.be>
Date: Fri, 9 Feb 2024 17:03:59 +0100
Subject: [PATCH] Slight textual changes

---
 bibliography.bib | 20 ++++++++++++++++++++
 book.org         | 13 ++++---------
 2 files changed, 24 insertions(+), 9 deletions(-)

diff --git a/bibliography.bib b/bibliography.bib
index d59d9a0..8721619 100644
--- a/bibliography.bib
+++ b/bibliography.bib
@@ -1671,6 +1671,26 @@
   file = {/home/charlotte/sync/Zotero/storage/3V7WRXCU/Hattie and Timperley - 2007 - The Power of Feedback.pdf}
 }
 
+@inproceedings{haynes-magyarCodespecComputerProgramming2022,
+  title = {Codespec: {{A Computer Programming Practice Environment}}},
+  shorttitle = {Codespec},
+  booktitle = {Proceedings of the 2022 {{ACM Conference}} on {{International Computing Education Research}} - {{Volume}} 2},
+  author = {{Haynes-Magyar}, Carl Christopher and {Haynes-Magyar}, Nathaniel James},
+  year = {2022},
+  month = aug,
+  series = {{{ICER}} '22},
+  volume = {2},
+  pages = {32--34},
+  publisher = {{Association for Computing Machinery}},
+  address = {{New York, NY, USA}},
+  doi = {10.1145/3501709.3544278},
+  url = {https://dl.acm.org/doi/10.1145/3501709.3544278},
+  urldate = {2024-02-09},
+  isbn = {978-1-4503-9195-5},
+  keywords = {Adaptive Learning Systems,Computer Programming Practice,Scaffolding},
+  file = {/home/charlotte/sync/Zotero/storage/DU5TNBA9/Haynes-Magyar and Haynes-Magyar - 2022 - Codespec A Computer Programming Practice Environm.pdf}
+}
+
 @article{hernandez-de-menendezLearningAnalyticsState2022,
   title = {Learning Analytics: State of the Art},
   shorttitle = {Learning Analytics},
diff --git a/book.org b/book.org
index 2dffbce..96d7c0c 100644
--- a/book.org
+++ b/book.org
@@ -286,15 +286,10 @@ Note that in this platform, it is not the student themself who is writing code.
 :END:
 
 At this point in history, the idea of a web-based automated assessment system for programming education is no longer new.
-But still, more and more new platforms were being written.[fn:: See also https://xkcd.com/927/.]
-
-All of these platforms support automated assessment of code submitted by students, but try to differentiatie themselves through the features they offer.
-The FPGE platform by\nbsp{}[cite/t:@paivaManagingGamifiedProgramming2022] offers gamification features.
-iWeb-TD\nbsp{}[cite:@fonsecaWebbasedPlatformMethodology2023] integrates a full-fledged editor.
-PLearn\nbsp{}[cite:@vasyliukDesignImplementationUkrainianLanguage2023] recommends extra exercises to its users.
-JavAssess\nbsp{}[cite:@insaAutomaticAssessmentJava2018] tries to automate grading.
-And finally, GradeIT\nbsp{}[cite:@pariharAutomaticGradingFeedback2017] features automatic hint generation.
+But still, more and more new platforms were being written.[fn:: For a possible explanation, see https://xkcd.com/927/.]
 
+All of these platforms support automated assessment of code submitted by students, but try to differentiate themselves through the features they offer.
+The FPGE platform by\nbsp{}[cite/t:@paivaManagingGamifiedProgramming2022] offers gamification, iWeb-TD\nbsp{}[cite:@fonsecaWebbasedPlatformMethodology2023] integrates a full-fledged editor, PLearn\nbsp{}[cite:@vasyliukDesignImplementationUkrainianLanguage2023] recommends extra exercises to its users, JavAssess\nbsp{}[cite:@insaAutomaticAssessmentJava2018] tries to automate grading, and GradeIT\nbsp{}[cite:@pariharAutomaticGradingFeedback2017] features automatic hint generation.
 
 ** Learning analytics and educational data mining
 :PROPERTIES:
@@ -322,7 +317,7 @@ It also briefly details a study we collaborated on with researchers from Jyväsk
 In Chapter\nbsp{}[[#chap:feedback]], we first give an overview of how Dodona changed manual assessment in our own educational context.
 We then finish the chapter with some recent work on a machine learning method we developed to predict what feedback teachers will give when manually assessing student submissions.
 
-Finally, Chapter\nbsp{}[[#chap:discussion]] concludes the dissertation with some discussion on the previous chapters and some possibilities for future work.
+Finally, Chapter\nbsp{}[[#chap:discussion]] concludes the dissertation with some discussion on the current status of Dodona, the research related to it, and some possibilities for future work.
 
 * What is Dodona?
 :PROPERTIES: