Skip to main content

Analysis of Forum Interaction Behavior Based on Cloud Class

  • Conference paper
  • First Online:
Technology in Education: Pedagogical Innovations (ICTE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1048))

Included in the following conference series:

  • 1213 Accesses

Abstract

The forum is one of the auxiliary tools for formal learning. Some studies have shown that students’ performance in the forum is strongly related to their learning effectiveness. This study took the online forum posting texts in the blended class of Educational Technology Research Methodology as the research object. First, the literature analysis method was adopted to comb and analyze the related research, and the social network analysis method was used to find out the learners who participated in the interaction in the forum and characterize their features. Next, a statistical analysis tool was used to cluster the learners, thus they were divided into three types those were activists, followers, and silencers. Then, the correlation analysis was performed with the number of interactions between the three types of learners in the forum and the academic scores. Semantic analysis was used to analyze learners’ emotions, and different learners’ emotions were correlated with their academic performance. The study found that in the blended class, there was no significant correlation between the number of interactions among different types of learners and their course performance, and there was a significant correlation between the emotional coefficient and the course performance. Finally, this paper proposed some instructional strategies in the forum of blended class.

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 EPUB and 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

References

  1. Yang, N., Ghislandi, P., Dellantonio, S.: Online collaboration in a large university class supports quality teaching. Etr&D-Educ. Technol. Res. Dev. 66(3), 671–691 (2018)

    Article  Google Scholar 

  2. Awofeso, N., Hassan, M., Hamidi, S.: Individual and collaborative technology-mediated learning using question & answer online discussion forums - perceptions of Public Health learners in Dubai, UAE. Open Learn. 31(1), 54–63 (2016)

    Article  Google Scholar 

  3. Gillani, N., Eynon, R.: Communication patterns in massively open online courses. Internet High. Educ. 23, 18–26 (2014)

    Article  Google Scholar 

  4. Cabiria, J.: Connectivist learning environments: massive open online courses (2012)

    Google Scholar 

  5. Murias, T.F.: Content analysis of asynchronous communication in university education. Revista De Educ. 358, 282–309 (2012)

    Google Scholar 

  6. Siemens, G.: Connectivism: a learning theory for the digital age. Int. J. Instr. Technol. Distance Learn. 2(s101), 3–10 (2005)

    Google Scholar 

  7. Wise, A.F., Cui, Y.: Learning communities in the crowd: characteristics of content related interactions and social relationships in MOOC discussion forums. Comput. Educ. 122, 221–242 (2018)

    Article  Google Scholar 

  8. Zheng, Q., Li, Q., Chen, L.: An empirical study on the correlativity of students’ interactivity and quality of content in MOOCs forum. Chin. Educ. Technol. (2016)

    Google Scholar 

  9. Liu, Z., Zhang, W.J., Sun, W.C., Liu, S.Y., Peng, X., Zhang, H.: Analysis of learners’ interactive discourse behaviors in the cloud classroom forum. e-Educ. Res. (2016)

    Google Scholar 

  10. Ezen-Can, A., Boyer, K.E.: Unsupervised classification of student dialogue acts with query likelihood clustering (2013)

    Google Scholar 

  11. Ferguson, R., Wei, Z., He, Y., Shum, S.B. (eds.): An evaluation of learning analytics to identify exploratory dialogue in online discussions. In: International Conference on Learning Analytics and Knowledge (2013)

    Google Scholar 

  12. Wen, M., Yang, D., Rosé, C.P. (eds.): Sentiment analysis in MOOC discussion forums: what does it tell us? Educ. Data Min. (2014)

    Google Scholar 

  13. Wolfe, A.W.: Social network analysis: methods and applications by Stanley Wasserman; Katherine Faust. Contemp. Soc. 91(435), 219–220 (1994)

    Google Scholar 

  14. Kim, S.-J.: The semantic analysis of “Tatsu” and aspects of meaning extension: from the perspective of cognitive semantics. J. Japan. Lang. Lit., 78 (2018)

    Google Scholar 

  15. Wang, Y., Li, X. (eds.): An exploration of social network analysis on cohesion in online collaborative learning. In: IEEE International Symposium on It in Medicine and Education (2008)

    Google Scholar 

  16. Samelson, F.: Struggle for scientific authority: the reception of Watson’s Behaviorism, 1913–1920. J. Hist. Behav. Sci. 17(3), 399–425 (1981)

    Article  Google Scholar 

  17. Back, M.D., Schmukle, S.C., Egloff, B.: Predicting actual behavior from the explicit and implicit self-concept of personality. J. Pers. Soc. Psychol. 97(3), 533–548 (2009)

    Article  Google Scholar 

  18. Liang, W.: The design and implementation of experiential online learning space based on virtual environment. Chin. Educ. Technol. (2014)

    Google Scholar 

  19. Dev, P., Jyoti, S.K., Dhawan. S.: A pragmatic analysis to detect escalating implicit behavior in online social websites (2015)

    Google Scholar 

  20. Weiss, H.M., Cropanzano, R.: Affective events theory: a theoretical discussion of the structure, causes and consequences of affective experiences at work. Res. Organ. Behav. 18(3), 1–74 (1996)

    Google Scholar 

  21. Gao, J.: Impact of online academic emotion on learning engagement: a social cognitive perspective. Open Educ. Res. (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yanli Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zuo, M., Xu, Y., Wang, Z., Zhao, R., Li, X. (2019). Analysis of Forum Interaction Behavior Based on Cloud Class. In: Cheung, S., Jiao, J., Lee, LK., Zhang, X., Li, K., Zhan, Z. (eds) Technology in Education: Pedagogical Innovations. ICTE 2019. Communications in Computer and Information Science, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-13-9895-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9895-7_12

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9894-0

  • Online ISBN: 978-981-13-9895-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics