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authorJonas Smedegaard <dr@jones.dk>2024-06-06 08:14:30 +0200
committerJonas Smedegaard <dr@jones.dk>2024-06-06 08:14:30 +0200
commit1faf91cf7aaf5b2d853dca795b45d70359cc8490 (patch)
tree2475304073a483320854de2be265426d9a172606
parent6cd473e4f49275ed9bf2a3d21453e460b810895d (diff)
more clearly include research problem in abstract
-rw-r--r--worlding/index.qmd8
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diff --git a/worlding/index.qmd b/worlding/index.qmd
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@@ -26,9 +26,13 @@ the way learning situations unfold across the world.
Meanwhile, technologies like Linked Open Data and online annotation software
present new opportunities for supporting the movements involved in learning.
Despite this, little literature examines the link between these collaboratively
-oriented functionalities and their potential role in learning.
+oriented functionalities and their potential role in learning,
+and poses at best a hesitant view on the role of digitalization
+for the content-related parts of achieving a deeper learning.
This project seeks to develop the area by utilizing and expanding
-upon the theory of tentacular learning.
+upon the theory of tentacular learning,
+specifically examining
+whether a digitalization annotation technique supports deeper learning.
To do this, we propose 5-star reading as a framework for working
with scientific literature using digital annotations to frame