=Paper=
{{Paper
|id=Vol-1458/F02_CRC86_Pentrel
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1458/F02_CRC86_Pentrel.pdf
|volume=Vol-1458
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1458/F02_CRC86_Pentrel.pdf</pdf>
<pre>
    Relational Presentations Using Semantic
                    Closeness
   Spatial Narrative for Mathematical Content

                        Naomi Pentrel, Michael Kohlhase

                             Jacobs University Bremen



      Abstract. Visualization of knowledge is important to foster learning.
      Especially so in Mathematics where students have to understand not
      just one topic at a time but also the related concepts. Taking the typical
      Mathematics lecture as an example, it is often the case that students
      come from different backgrounds. When a new topic is introduced it
      would therefore be ideal to have a simple way to find dependencies and
      present students with an easy way to catch up on topics they have not
      learned. To optimize the visualization of information and its interdepen-
      dencies, a way to present information without losing context is therefore
      necessary. The following research takes an existing annotated corpus and
      presents its contents while allowing students to see dependencies between
      topics and encouraging them to explore related mathematical concepts.
      Thus students can interactively learn the concepts the current topic de-
      pends on by taking small detours through those topics, should they need
      to refresh their memories. This approach to presenting learning materi-
      als changes how we interact with course materials and it is ultimately
      applicable to almost all areas in which knowledge needs to be transferred.


   Original Publication as:
Naomi Pentrel and Michael Kohlhase. Relational Presentations Using Semantic
Closeness Spatial Narrative for Mathematical Content. In: Proceedings of the
MathUI 2015 10th Workshop on Mathematical User Interfaces. Washington,
USA. July 2015, published at http://www.cermat.org.




  Copyright c 2015 by the paper’s authors. Copying permitted only for private and
  academic purposes. In: R. Bergmann, S. Görg, G. Müller (Eds.): Proceedings of
  the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. Trier, Germany, 7.-9.
  October 2015, published at http://ceur-ws.org




                                        220

</pre>