Skip to main content

The Influence of Different Partnerships on Learning Motivation and Social Network in Peer Assessment

  • Conference paper
  • First Online:
Blended Learning: Re-thinking and Re-defining the Learning Process. (ICBL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12830))

Included in the following conference series:

Abstract

This study explored the influence of different partnerships on learners’ learning motivation and social network in online peer assessment, designed a single-factor experiment with 93 students from Central China Normal University as the research object. Students in one experimental group are in a one-to-one fixed partnership peer assessment, while students in the other experimental group are allowed to freely and dynamically invite their peers in assessment and discussion. This study confirmed that the free inviting partnership between students had a positive impact on their learning motivation in the peer assessment. Social network analysis found that the interactive network formed by the dynamic invitation partnership is closer, and student participation is higher. However, the interactive network formed by the fixed partnership is looser, student participation is lower, and the level of student participation varies greatly. Furthermore, the students who occupied the central position in the out-degree centrality perceived higher-level learning motivation. For in-degree centrality, the students who occupied the central position in the in-degree centrality perceived higher-level learning motivation in the dynamic invitation partnership, while there is no significant difference between learners in the fixed partnership. Based on this, the study suggests that educators could take advantage of the dynamic pairing or inviting mechanism to sustain students’ motivation in networked peer assessment. Meanwhile, educators could use out-degree centrality and in-degree centrality to monitor students’ engagement in online collaborative learning activities.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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

References

  1. Topping, K.: Peer assessment between students in colleges and universities. Rev. Educ. Res. 3, 249–276 (1998)

    Article  Google Scholar 

  2. Wigfield, A., Eccles, J.S.: Expectancy-value theory of achievement motivation. Contemp. Educ. Psychol. 25(1), 68–81 (2000)

    Article  Google Scholar 

  3. Miyazoe, T., Anderson, T.: Learning outcomes and students’ perceptions of online writing: Simultaneous implementation of a forum, blog, and wiki in an EFL blended learning setting. System 38(2), 185–199 (2010)

    Article  Google Scholar 

  4. Woo, M., Chu, S., Ho, A., Li, X.: Using a wiki to scaffold primary-school students’ collaborative writing. Educ. Technol. Soc. 14(1), 43–54 (2011)

    Google Scholar 

  5. Han, Q., Bai, H., Yang, X.: Effect of peer review on college students’ learning motivation in mobile learning environment. Dist. Educ. China 000(011), 34–40 (2018)

    Google Scholar 

  6. Lin, X., Hu, X., Hu, Q., Liu, Z.: A social network analysis of teaching and research collaboration in a teachers’ virtual learning community. Br. J. Edu. Technol. 479(2), 302–319 (2016)

    Article  Google Scholar 

  7. Moolenaar, N.: A social network perspective on teacher collaboration in schools: theory, methodology, and applications. Am. J. Educ. 119(1), 7–39 (2012)

    Article  Google Scholar 

  8. Liang, Y.: Study on influence of rubric-based peer assessment of cognition, emotional engagement and learning outcomes on online learning. E-educ. Res. 9, 66–74 (2018)

    Google Scholar 

  9. Huang, Z., Zhou, R., Wan, L.: Design and empirical research on interactive classroom ecosystem in blended learning environment. E-educ. Res. 4, 78–85 (2020)

    Google Scholar 

  10. Bi, Q., Dong, Y., Han, Y.: An empirical study on the development of critical thinking of junior high school students: from the perspective of learning activity design. E-educ. Res. 39(7), 83–90 (2018)

    Google Scholar 

  11. Miyazoe, T., Anderson, T.: Anonymity in blended learning: who would you like to be? Educ. Technol. Soc. 14(2), 175–187 (2011)

    Google Scholar 

  12. Nadine, J., Mark, W.: Supporting girls’ motivation in science: a study of peer- and self-assessment in a girls-only class. Educ. Stud. 37(37), 391–403 (2011)

    Google Scholar 

  13. Coutts, R., Gilleard, W., Baglin, R.: Evidence for the impact of assessment on mood and motivation in first-year students. Stud. High. Educ. 36(3), 291–300 (2011)

    Article  Google Scholar 

  14. Nahapiet, J., Ghoshal, S.: Social capital, intellectual capital, and organizational advantage. Acad. Manag. Rev. 23(2), 242–266 (1998)

    Article  Google Scholar 

  15. Li, H., Liu, M.: An applied study of peer assessment of composition in blended teaching. E-educ. Res. 41(06), 83–90 (2020)

    Google Scholar 

  16. Hou, H., Chang, K., Sung, Y.: An analysis of peer assessment online discussions within a course that uses project-based learning. Interact. Learn. Environ. 15(3), 237–251 (2007)

    Article  Google Scholar 

  17. Cai, G.: A contrastive study of online peer feedback and online teacher feedback on Chinese college students’ English writing. Foreign Lang. Circle 2, 65–72 (2011)

    Google Scholar 

  18. Pintrich, P., Smith, D., Garcia, T., McKeachie, W.: A manual for the use of the motivated strategies for learning questionnaire (MSLQ). College Stud. 48109, 76 (1991)

    Google Scholar 

  19. Wan, L.: Learner engagement in digital learning: linking learning motivation and learning performance——an interview with professor Xie Kui. Modern Dist. Educ. Res. 31(04), 11–18+46 (2019)

    Google Scholar 

  20. Lee, J., Bonk, C.: Social network analysis of peer relationships and online interactions in a blended class using blogs. Internet High. Educ. 28, 35–44 (2016)

    Article  Google Scholar 

  21. Saqr, M., Fors, U., Nouri, J., Gruebner, O.: Using social network analysis to understand online Problem-Based Learning and predict performance. PLoS ONE 13(9), 1–20 (2018)

    Article  Google Scholar 

  22. Huang, Y., Liu, C., Wang, Y., Tsai, C., Lin, H.: Student engagement in long-term collaborative EFL storytelling activities: an analysis of learners with English proficiency differences. Educ. Technol. Soc. 20(3), 95–109 (2017)

    Google Scholar 

  23. Liu, C., Tsai, C.: An analysis of peer interaction patterns as discoursed by on-line small group problem-solving activity. Comput. Educ. 50(3), 627–639 (2008)

    Article  Google Scholar 

  24. Liu, C., Chen, Y., Tai, S.: A social network analysis on elementary student engagement in the networked creation community. Comput. Educ. 115, 114–125 (2017)

    Google Scholar 

  25. Rabbany, K.R., Takaffoli, M., Zaiane, O.R.: Social network analysis and mining to support the assessment of on-line student participation. ACM SIGKDD Explor. Newslett. 13(2), 20–29 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuru Lin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lin, Y., Zhang, Y., Wang, Y. (2021). The Influence of Different Partnerships on Learning Motivation and Social Network in Peer Assessment. In: Li, R., Cheung, S.K.S., Iwasaki, C., Kwok, LF., Kageto, M. (eds) Blended Learning: Re-thinking and Re-defining the Learning Process.. ICBL 2021. Lecture Notes in Computer Science(), vol 12830. Springer, Cham. https://doi.org/10.1007/978-3-030-80504-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-80504-3_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80503-6

  • Online ISBN: 978-3-030-80504-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics