Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Learning Analytics for E-Book-Based Educational Big Data in Higher Education

verfasst von : Hiroaki Ogata, Misato Oi, Kousuke Mohri, Fumiya Okubo, Atsushi Shimada, Masanori Yamada, Jingyun Wang, Sachio Hirokawa

Erschienen in: Smart Sensors at the IoT Frontier

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This study provides an overview of the educational big data research project at Kyushu University, Japan. This project uses an e-book system called BookLooper, which allows students to browse e-books on web browsers, PCs (personal computers), and mobile devices such as smartphones and tablet PCs. This study reveals the research issues of this project. As of December 2015, approximately 20,000 students and 10,000 faculty staffs use the e-book system, and more than 4.7 million log data have been accumulated. This paper describes why the e-book system was introduced in university education and initial findings.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Sensing and Visualization in Agriculture with Affordable Smart Devices
Nächstes Kapitel Security and Privacy in IoT Era
Literatur
1.
Nakajima, T., Shinohara, S., Tamura, Y.: Typical functions of e-textbook, implementation, and compatibility verification with use of ePub3 materials. Procedia Comput. Sci. 22, 1344–1353 (2013)CrossRef
2.
3.
Shin, J.H.: Analysis on the digital textbook’s different effectiveness by characteristics of learner. Int. J. Educ. Learn. 1(2), 23–38 (2012)
4.
Yin, C., Okubo, F., Shimada, A., Kojima, K., Yamada, M., Fujimura, N., Ogata, H.: Smart phone based data collecting system for analyzing learning behaviors. Proceedings of International Conference of Computers on Education 2014, Nara, Japan, pp. 575–577 (2014)
5.
Fang, H., Liu, P., Huang, R.: The research on e-book-oriented mobile learning system environment application and its tendency. International Conference on Computer Science and Education, Singapore, pp. 1333–1338 (2011)
6.
Ihmeideh, F.M.: The effect of electronic books on enhancing emergent literacy skills of pre-school children. Comput. Educ. 79, 40–48 (2014)CrossRef
7.
Song, H.D., Jun, J.S., Ryu, J.H.: The Effects of Digital Textbooks in Student Learning. Seoul Metropolitan Board of Education, Seoul (2007)
8.
Ausubel, D.P.: The Psychology of Meaningful Verbal Learning. Grune and Stratton, New York (1963)
9.
Bonwell, C.C., Eison, J.A.: Active Learning: Creating Excitement in the Classroom, ASHE-ERIC Higher Education Report No1. The George Washington University, School of Education and Human Development, Washington, DC (1991)
10.
Shinogaya, K.: Learning strategies: a review from the perspective of the relation between learning phases. Jpn. J. Educ. Psychol. 60, 92–105 (2012)CrossRef
11.
Shinogaya, K.: Students’ strategies in preparation and lectures: direct and moderating effects of teachers’ teaching strategies. Jpn. J. Educ. Psychol. 62, 197–208 (2014)CrossRef
12.
Woody, W.D., Daniel, D.B., Baker, C.A.: E-books or textbooks: students prefer textbooks. Comput. Educ. 55, 945–948 (2010)CrossRef
13.
Oi, M., Okubo, F., Shimada, A., Yin, C., Ogata, H.: Analysis of preview and review patterns in Undergraduates’ e-book logs. Proceedings of ICCE 2015, Hangzhou, China, pp. 665–669 (2015)
14.
Ogata, H., Yin, C., Oi, M., Okubo, F., Shimada, T., Kojima, K., Yamada, M.: Analyses of learning behavior of active learners using logs of digital teaching materials. Bull. KIKAN Educ. 2, 48–60 (2016)
15.
Okubo, F., Shimada, A., Yin, C., Ogata, H.: Visualization and prediction of learning activities by using discrete graphs. Proceedings of ICCE2015, Hangzhou, China, pp. 739–744 (2015)
16.
Hlosta, M., Herrmannová, D., Váchová, L., Kužílek, J., Zdrahal, Z., Wolff, A.: Modelling student online behaviour in a virtual learning environment. Workshop Proc. LAK 2014, Indianapolis, USA (2014)
17.
Norris J.R.: Markov Chains. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge, UK (1998).
18.
Okubo, F., Hirokawa, S., Oi, M., Shimada, A., Kojima, K., Yamada, M., Ogata, H.: Learning activity features of high performance students. Proceedings of Cross-LAK2016, Edingburgh, UK, pp. 24–29 (2016)
19.
Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20, 273–297 (1995)MATH
20.
Yamada, M., Yin, C., Shimada, A., Kojima, K., Okubo, F., Ogata, H.: Preliminary research on self-regulated learning and learning logs in a ubiquitous learning environment. Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies (ICALT 2015), Hualien, Taiwan, pp. 93–95 (2015)
21.
Goda, Y., Yamada, M., Matsuda, T., Kato, H., Saito, Y., Miyagawa, H.: Effects of help seeking target types on completion rate and satisfaction in e-learning. Proceedings of INTED 2013, Valencia, Spain, pp. 1399–1403 (2013)
22.
Goda, Y., Yamada, M., Matsuda, T., Saito, Y., Kato, H., Miyagawa, H.: Procrastination and other learning behavioral types in e-learning and their relationship with learning outcomes. Learn. Individ. Differ. 37, 72–80 (2015). doi:10.​1016/​j.​lindif.​201411.​001 CrossRef
23.
24.
Ausubel, D.P.: Educational Psychology: A Cognitive View. Holt, New York (1968)
25.
Ausubel, D.P., Novak, J.D., Hanesian, H.: Educational Psychology: A Cognitive View, 2nd edn. Holt, Rinehart and Winston, New York (1978)
26.
Novak, J.D.: Meaningful learning: the essential factor for conceptual change in limited or appropriate propositional hierarchies (liphs) leading to empowerment of learners. Sci. Educ. 86(4), 548–571 (2002)MathSciNetCrossRef
27.
Lee, J.H., Segev, A.: Knowledge maps for e-learning. Comput. Educ. 59(2), 353–364 (2012)CrossRef
28.
Wang, J., Mendori, T., Juan, X.A.: Language learning support system using course-centered ontology and its evaluation. Comput. Educ. 78, 278–293 (2014)CrossRef
29.
Wang, J., Mendori, T., Xiong, J.A.: Customizable language learning support system using ontology-driven engine. Int. J. Dist. Educ. Technol. 11(4), 81–96 (2013)CrossRef
30.
Mouri, K., Okubo, F., Shimada, A., Ogata, H.: Profiling high-achieving students using e-book-based logs. Proc. of the first international workshop on Learning Analytics and Knowledge (LAK 16), Edingburgh, UK, pp. 1–6 (2016)
31.
Shimada, A., Okubo, F., Yin, C., Kojima, K., Yamada, M., Ogata, H.: Informal learning behavior analysis using action logs and slide features in e-textbooks. Proceedings of IEEE International Conference on Advanced Learning Technologies, Hualien, Taiwan, pp. 116–117 (2015)
32.
Yin, C., Okubo, F., Shimada, A., Oi, M., Hirokawa, S., Yamada, M., Kojima, K., Ogata, H.: Analyzing the features of learning behaviors of students using e-books. Workshop proceedings of International Conference on Computers in Education 2015, Hangzhou, China, pp. 617–626 (2015)
33.
Mouri, K., Ogata, H., Uosaki, N., Liu, S.: Visualization for analyzing ubiquitous learning logs. Proceedings of International Conference on Computers in Education (ICCE 2014), Nara, Japan, pp. 461–470 (2014)
34.
Mouri, K., Ogata, H.: Ubiquitous learning analytics in the real-world language learning. Smart Learn. Environ. 2(15), 1–18 (2015)
35.
Ogata, H., Li, M., Bin, H., Uosaki, N., El-Bishoutly, M., Yano, Y.: SCROLL: supporting to share and reuse ubiquitous learning logs in the context of language learning. Res. Pract. Technol. Enhanc. Learn. 6(3), 69–82 (2011)
36.
Ogata, H., Bin, H., Li, M., Uosaki, N., Mouri, K., Liu, S.: Ubiquitous learning project using life-logging technology in Japan. Educ. Technol. Soc. J. 17(2), 85–100 (2014)
Metadaten
Titel
Learning Analytics for E-Book-Based Educational Big Data in Higher Education
verfasst von
Hiroaki Ogata
Misato Oi
Kousuke Mohri
Fumiya Okubo
Atsushi Shimada
Masanori Yamada
Jingyun Wang
Sachio Hirokawa
Copyright-Jahr
2017
Buch
Smart Sensors at the IoT Frontier

Print ISBN: 978-3-319-55344-3

Electronic ISBN: 978-3-319-55345-0

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-55345-0_13

Neuer Inhalt

    Bildnachweise