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Evaluation of Leaning Unit Design Using Page Flip Information Analysis

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Digital Technologies: Sustainable Innovations for Improving Teaching and Learning

Abstract

In this chapter, the authors attempted to evaluate design of leaning units using learning analytics techniques on page flip information. Traditional formative assessment is carried out by giving assignments and evaluating their results; however, the information the teacher can get from this method is limited and coarse-grained. The authors set a research question whether one can evaluate the relation between specific learning objectives of learning units and the learners’ actual activities in the units based on page flip histories. The experimental results showed that the intensity of relations between the assignments and learning materials was different for each unit; quantitatively, the correlation coefficients between “p-value of chi-squared tests between range of page flip count and grade on assignments” and “ratio of number of questions in an assessment with reference pages” was −0.889. With this relation established, the authors attempted to evaluate unit design and found that the critical factor for getting a high grade was how many times they referred to their textbook, although this assignment was designed to assess learners’ ability to use or apply learned knowledge. If the teacher can get such suggestions as feedback, it is possible to utilize them for formative assessment.

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References

  1. Ferguson, R. (2012). Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5-6), 304–317.

    Article  Google Scholar 

  2. Bloom, B. (1971). Handbook on formative and summative evaluation of student learning. New York, NY: McGraw-Hill.

    Google Scholar 

  3. Moodle Documentation (n.d.). Logs, tracking progress. Retrieved from https://docs.moodle.org/33/en/Logs and https://docs.moodle.org/33/en/Tracking_progress#Activity_completion.

  4. Scapin, R. (2015). Learning analytics in education: Using student’s big data to improve teaching. Slide show presented at an IT REP meeting in April 23rd, 2015. Retrieved from https://www.reptic.qc.ca/wp-content/uploads/2014/10/2015-04_Learning_Analytics.pdf.

  5. Moodle Downloads (n.d.). SmartKlass™ Learning Analytics Moodle. Retrieved from https://moodle.org/plugins/local_smart_klass.

  6. OECD. (2015). Education policy outlook: Japan. Paris, France: OECD Publishing. Retrieved from http://www.oecd.org/edu/Japan-country-profile.pdf.

    Google Scholar 

  7. Shirouzu, H., Tohyama, S., Yamada, M., Kitazawa, T., & Masukawa, H. (2015). Proposing an alternative framework for the assessment of collaborative problem solving. Proceedings of 1th International Conference on Computer Supported Collaborative Learning. Gothenburg, Sweden, pp. 839-840.

    Google Scholar 

  8. Nicholas, D., Rowlands, I., & Jamali, H. R. (2010). E-textbook use, information seeking behaviour and its impact: Case study business and management. Journal of Information Science, 36(2), 263–280.

    Article  Google Scholar 

  9. Kyushu University Learning Analytics Center. (2016). Retrieved from http://lac.kyushu-u.ac.jp/e/.

  10. Mouri, K., Yin, C., Okubo, F., Shimada, A., & Ogata, H. (2016). Profiling high-achieving students for e-book-based learning analytics. Proceedings of Cross-LAK 2016. Edinburgh, UK, pp. 5–9.

    Google Scholar 

  11. Horikoshi, I., Yamazaki, K., & Tamura. Y. (2015). Learning style verification with use of questionnaire and page flip history. Proceedings of the 23rd International Conference on Computers in Education. Hangzhou, China, pp. 627–636.

    Google Scholar 

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 26282059. We thank Mr. Kimiaki Yamazaki of TEK Software for developing the page flip acquisition scheme.

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Correspondence to Izumi Horikoshi .

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Horikoshi, I., Noguchi, M., Tamura, Y. (2018). Evaluation of Leaning Unit Design Using Page Flip Information Analysis. In: Sampson, D., Ifenthaler, D., Spector, J., Isaías, P. (eds) Digital Technologies: Sustainable Innovations for Improving Teaching and Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-73417-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-73417-0_9

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-73417-0

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