Reading guided by automated graphical representations: How model-based text visualizations facilitate learning in reading comprehension tasks |
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| Authors: | Pablo Pirnay-Dummer and Dirk Ifenthaler |
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| Institution: | (1) Albert-Ludwig University, Freiburg, Germany |
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| Abstract: | Our study integrates automated natural language-oriented assessment and analysis methodologies into feasible reading comprehension
tasks. With the newly developed T-MITOCAR toolset, prose text can be automatically converted into an association net which
has similarities to a concept map. The “text to graph” feature of the software is based on several parsing heuristics and
can be used both to assess the learner’s understanding by generating graphical information from his or her text and to generate
conceptual graphs from text which can be used as learning materials. In this study we investigate the effects of association
nets made available to learners prior to reading. The results reveal that the automatically created graphs are highly similar
to classical expert graphs. However, neither the association nets nor the expert graphs had a significant effect on learning,
although the latter have been reported to have an effect in previous studies. |
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