[1N2-IS-5a] Human interface, education aid (1/2)

[1N2-IS-5a-02] Annotation of Knowledge Amount and Learning Level to Web Pages explaining Academic Concepts

〇Yuhei Oga¹, Kosei Soda¹, Kazuki Tanaka¹, Takehito Utsuro^1,2, Yasuhide Kawada³ (1. University of Tsukuba, 2. RIKEN, 3. Logworks Co., Ltd.,)

Keywords:Web Pages explaining Academic Concepts, Page Components, Developing a Dataset, Knowledge Amount, Learning Level

In last few years, the Internet and Web contents have become
remarkable tools for studying. However, most search engines that can
find Web contents applicable for studying are not beginner friendly.
Learners must manually compare several pages on the search engine to
find beginner friendly Web contents. Visual intelligibility in Web
page layout and beginner friendly Web page texts are the requirements
of Web contents for beginners. In this paper, we develop a dataset of
Web pages explaining academic concepts, to which we manually annotate
their knowledge amount and learning level. This paper especially
focuses on math and science academic fields such as statistics,
calculus, linear algebra, mechanics, electromagnetics, chemistry,
programming, and IT. In those academic fields, we collect
major Web sites explaining academic concepts and manually annotate
their knowledge amount and learning level to Web pages of those sites.
Finally, we analyze the knowledge amount and learning level of each of
those collected major Web sites.