%0 Conference Paper %1 citeulike:14087142 %A Agrawal, Rakesh %A Chakraborty, Sunandan %A Gollapudi, Sreenivas %A Kannan, Anitha %A Kenthapadi, Krishnaram %B Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining %C New York, NY, USA %D 2012 %I ACM %K datamining electronic-textbook %P 967--975 %R 10.1145/2339530.2339682 %T Empowering Authors to Diagnose Comprehension Burden in Textbooks %U http://dx.doi.org/10.1145/2339530.2339682 %X Good textbooks are organized in a systematically progressive fashion so that students acquire new knowledge and learn new concepts based on known items of information. We provide a diagnostic tool for quantitatively assessing the comprehension burden that a textbook imposes on the reader due to non-sequential presentation of concepts. We present a formal definition of comprehension burden and propose an algorithmic approach for computing it. We apply the tool to a corpus of high school textbooks from India and empirically examine its effectiveness in helping authors identify sections of textbooks that can benefit from reorganizing the material presented. %@ 978-1-4503-1462-6

@inproceedings{citeulike:14087142, abstract = {{Good textbooks are organized in a systematically progressive fashion so that students acquire new knowledge and learn new concepts based on known items of information. We provide a diagnostic tool for quantitatively assessing the comprehension burden that a textbook imposes on the reader due to non-sequential presentation of concepts. We present a formal definition of comprehension burden and propose an algorithmic approach for computing it. We apply the tool to a corpus of high school textbooks from India and empirically examine its effectiveness in helping authors identify sections of textbooks that can benefit from reorganizing the material presented.}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {New York, NY, USA}, author = {Agrawal, Rakesh and Chakraborty, Sunandan and Gollapudi, Sreenivas and Kannan, Anitha and Kenthapadi, Krishnaram}, biburl = {https://www.bibsonomy.org/bibtex/2149873ccf5262cda507ecf02d605a6b3/aho}, booktitle = {Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, citeulike-article-id = {14087142}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=2339682}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/2339530.2339682}, doi = {10.1145/2339530.2339682}, interhash = {88eb990096bb461d03575e18ee762bea}, intrahash = {149873ccf5262cda507ecf02d605a6b3}, isbn = {978-1-4503-1462-6}, keywords = {datamining electronic-textbook}, location = {Beijing, China}, pages = {967--975}, posted-at = {2016-06-30 14:31:30}, priority = {2}, publisher = {ACM}, series = {KDD '12}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{Empowering Authors to Diagnose Comprehension Burden in Textbooks}}, url = {http://dx.doi.org/10.1145/2339530.2339682}, year = 2012 }