Abstract
In this paper, we explore challenges in compiling a pedagogic resource like a textbook on a given topic from relevant Wikipedia articles, and present an approach towards assisting humans in this task. We present an algorithm that attempts to suggest the textbook structure from Wikipedia based on a set of seed concepts (chapters) provided by the user. We also conceptualize a decision support system where users can interact with the proposed structure and the corresponding Wikipedia content to improve its pedagogic value. The proposed algorithm is implemented and evaluated against the outline of online textbooks on five different subjects. We also propose a measure to quantify the pedagogic value of the suggested textbook structure.
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Notes
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The term “concept” is loosely used to refer to a topic or idea. Here, we use this term interchangeably to correspond to either Wikipedia article titles or textbook topics.
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A demonstration of the interface and a book compiled using the interface can be found at https://sites.google.com/site/compiletextbooks/.
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Acknowledgements
We thank Prof. Marti A. Hearst for the fruitful discussion and feedback, and the members of AIDB lab for their insightful comments. This work is partially funded by TCS Research Scholar Program, India.
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Mathew, D., Chakraborti, S. (2018). Towards Compiling Textbooks from Wikipedia. In: Mitrovic, T., Xue, B., Li, X. (eds) AI 2018: Advances in Artificial Intelligence. AI 2018. Lecture Notes in Computer Science(), vol 11320. Springer, Cham. https://doi.org/10.1007/978-3-030-03991-2_75
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