Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12909
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dc.contributor.authorKohlhase A.
dc.contributor.authorKohlhase M.
dc.contributor.authorOuypornkochagorn T.
dc.date.accessioned2021-04-05T03:21:47Z-
dc.date.available2021-04-05T03:21:47Z-
dc.date.issued2018
dc.identifier.issn3029743
dc.identifier.other2-s2.0-85051662080
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/12909-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051662080&doi=10.1007%2f978-3-319-96812-4_14&partnerID=40&md5=5f817f78f5423803062eb3bdaff61e7d
dc.description.abstractMuch of the wealth of industrialized societies is based on knowledge that is laid down and communicated in scientific/technical/engineering/mathematical documents: highly structured documents that contain diagrams, images, and – most daunting to many readers – mathematical formulae. It seems clear that digital, interactive documents have the potential to improve reading these kind of documents, and thus learning and applying this kind of knowledge. To understand how such improvements could be designed, we explore how formula understanding interacts with the surrounding text in mathematical documents. We report on an eye-tracking experiment with 23 engineering students reading a “solved problem” based on a simple differential equation. We observe for instance that – triggered by formulae – readers backjump to previously identified semantic loci and that this behavior is independent of depth of understanding in mathematically trained readers. Based on our observations, we propose novel in-document interactions that could potentially enhance reading efficiency. © 2018, Springer International Publishing AG, part of Springer Nature.
dc.subjectDifferential equations
dc.subjectSemantics
dc.subjectInteractive documents
dc.subjectMathematical formulas
dc.subjectReading efficiencies
dc.subjectStructured document
dc.subjectEye tracking
dc.titleDiscourse phenomena in mathematical documents
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 11006 LNAI, (2018), p.147-163
dc.identifier.doi10.1007/978-3-319-96812-4_14
Appears in Collections:Scopus 1983-2021

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