Skip to main content

An Attempt on Effort-Achievement Analysis of Lecture Data for Effective Teaching

  • Conference paper
Computer Applications for Database, Education, and Ubiquitous Computing (EL 2012, DTA 2012)

Abstract

The eventual goal of the study in this paper is to find inspiring tips for effective teaching by analyzing lecture data. As a case study, we take a course in a junior college and investigate the relations between effort and achievement of the students. We take two types of data for measuring effort of students; attendance and homework. The former one is for representing the students’ “superficial” efforts and the latter for representing the students’ “intentional” efforts. We take the term-end examination score for measuring the student’s achievement. In this paper, we first try to find what kind of efforts the students put in terms of effort by comparing the attendance and the homework data. Then we investigate the relations between the efforts and achievement and try to find if the efforts of students really give good amount of influence to their achievements. As a result of the analysis we have found even with some amount of efforts, students learn just a little bit in achievement in terms of practically applicable skills. We need further investigation in order to give more clear influencing factor in effort-achievement analysis of lecture data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Minami, T.: Expertise Level Estimation of Library Books by Patron-Book Heterogeneous Information Network Analysis – Concept and Applications to Library’s Learning Assistant Service. In: The 8th International Symposium on Frontiers of Information Systems and Network Applications (FINA 2012), pp. 357–362 (2012), doi:19.1109/WAINA.2012.184

    Google Scholar 

  2. Minami, T., Ohura, Y.: Toward Learning Support for Decision Making: Utilization of Library and Lecture Data. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R.J., Jain, L.C. (eds.) Intelligent Decision Technologies, Vol. 2. SIST, vol. 16, pp. 137–147. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Minami, T., Baba, K.: Investigation of Interest Range and Earnestness of Library Patrons from Circulation Records. In: Proc. International Conference on e-Services and Knowledge Management in IIAI-AAI 2012, pp. 25–29. IEEE CPS (2012), doi:10.1109/IIAI-AAI2012.15

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Minami, T., Ohura, Y. (2012). An Attempt on Effort-Achievement Analysis of Lecture Data for Effective Teaching. In: Kim, Th., Ma, J., Fang, Wc., Zhang, Y., Cuzzocrea, A. (eds) Computer Applications for Database, Education, and Ubiquitous Computing. EL DTA 2012 2012. Communications in Computer and Information Science, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35603-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35603-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35602-5

  • Online ISBN: 978-3-642-35603-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics