An intelligent concept map for e-book via automatic keyword extraction

Chin-Feng Lai, Chun Wei Tsai, Shih Yeh Chen, Ren Hung Hwang, Chu-Sing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The advance of internet technologies and digital information systems has played a critical role in the development of modern education. In particular, several innovative information technologies and products have witnessed the changes of learning behaviors in recent years. Among them, how to use e-books to improve the learning performance of audience has become a promising research topic because it can be used to automatically record the reading behaviors of audience. In this way, we can provide personalized information to the audience. Generally speaking, an e-book can typically be regarded as a product of a book after it is digitized, because modern information technologies make it possible for an e-book abundant in multimedia contents than does a textbook. In Taiwan, the ministry of education encourages instructors to try new teaching methods, strategies, devices, and even environments to enhance the learning motivation of students. Using handheld devices, mobile applications, and e-books to support the learning of elementary students has become a popular research topic. In this study, we will present a novel e-book system that integrates two different technologies to enhance the learning performance of an e-book, which are: (1) information retrieval to understand the contents to the e-book system, and (2) concept map to provide knowledge to the audience. Before building a concept map, the proposed system has to extract the keywords from the e-book and to understand their relationships. To evaluate the performance of the proposed algorithm, a sixth grade class of 61 students in Taiwan are used as a test. In this study, all of the students, never learned these materials before, are divided into two groups. Experimental results show that the proposed e-book system with keyword concept map can significantly improve the learning performance of students compared to the traditional e-book in terms of both the scores received after learning and the results of satisfaction questionnaire on learning, practising, and system satisfaction.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers
EditorsRosella Gennari, Yiwei Cao, Yueh-Min Huang, Wu Wu, Haoran Xie
PublisherSpringer Verlag
Pages75-85
Number of pages11
ISBN (Print)9783319528359
DOIs
Publication statusPublished - 2017 Jan 1
Event1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016 - Rome, Italy
Duration: 2016 Oct 262016 Oct 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10108 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016
CountryItaly
CityRome
Period16-10-2616-10-29

Fingerprint

Keyword Extraction
Concept Maps
Students
Information technology
Education
Textbooks
Information retrieval
Taiwan
Mobile devices
Information Technology
Teaching
Information systems
Internet
Handheld Devices
Learning
Mobile Applications
Questionnaire
Information Retrieval
Multimedia
Information Systems

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lai, C-F., Tsai, C. W., Chen, S. Y., Hwang, R. H., & Yang, C-S. (2017). An intelligent concept map for e-book via automatic keyword extraction. In R. Gennari, Y. Cao, Y-M. Huang, W. Wu, & H. Xie (Eds.), Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers (pp. 75-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10108 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-52836-6_10
Lai, Chin-Feng ; Tsai, Chun Wei ; Chen, Shih Yeh ; Hwang, Ren Hung ; Yang, Chu-Sing. / An intelligent concept map for e-book via automatic keyword extraction. Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers. editor / Rosella Gennari ; Yiwei Cao ; Yueh-Min Huang ; Wu Wu ; Haoran Xie. Springer Verlag, 2017. pp. 75-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Lai, C-F, Tsai, CW, Chen, SY, Hwang, RH & Yang, C-S 2017, An intelligent concept map for e-book via automatic keyword extraction. in R Gennari, Y Cao, Y-M Huang, W Wu & H Xie (eds), Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10108 LNCS, Springer Verlag, pp. 75-85, 1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016, Rome, Italy, 16-10-26. https://doi.org/10.1007/978-3-319-52836-6_10

An intelligent concept map for e-book via automatic keyword extraction. / Lai, Chin-Feng; Tsai, Chun Wei; Chen, Shih Yeh; Hwang, Ren Hung; Yang, Chu-Sing.

Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers. ed. / Rosella Gennari; Yiwei Cao; Yueh-Min Huang; Wu Wu; Haoran Xie. Springer Verlag, 2017. p. 75-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10108 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - An intelligent concept map for e-book via automatic keyword extraction

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AU - Tsai, Chun Wei

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AB - The advance of internet technologies and digital information systems has played a critical role in the development of modern education. In particular, several innovative information technologies and products have witnessed the changes of learning behaviors in recent years. Among them, how to use e-books to improve the learning performance of audience has become a promising research topic because it can be used to automatically record the reading behaviors of audience. In this way, we can provide personalized information to the audience. Generally speaking, an e-book can typically be regarded as a product of a book after it is digitized, because modern information technologies make it possible for an e-book abundant in multimedia contents than does a textbook. In Taiwan, the ministry of education encourages instructors to try new teaching methods, strategies, devices, and even environments to enhance the learning motivation of students. Using handheld devices, mobile applications, and e-books to support the learning of elementary students has become a popular research topic. In this study, we will present a novel e-book system that integrates two different technologies to enhance the learning performance of an e-book, which are: (1) information retrieval to understand the contents to the e-book system, and (2) concept map to provide knowledge to the audience. Before building a concept map, the proposed system has to extract the keywords from the e-book and to understand their relationships. To evaluate the performance of the proposed algorithm, a sixth grade class of 61 students in Taiwan are used as a test. In this study, all of the students, never learned these materials before, are divided into two groups. Experimental results show that the proposed e-book system with keyword concept map can significantly improve the learning performance of students compared to the traditional e-book in terms of both the scores received after learning and the results of satisfaction questionnaire on learning, practising, and system satisfaction.

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Lai C-F, Tsai CW, Chen SY, Hwang RH, Yang C-S. An intelligent concept map for e-book via automatic keyword extraction. In Gennari R, Cao Y, Huang Y-M, Wu W, Xie H, editors, Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers. Springer Verlag. 2017. p. 75-85. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-52836-6_10