Abstract
With the rapid development of information technology, teaching assistant software has been constantly appearing in classroom learning. How to effectively apply this technical resource in classroom learning has become one of the focus of educational research and practice. In this study, the epistemic network analysis method was used to process the interview text of students using teaching AIDS, and the effect of the application of teaching AIDS in classroom learning was discussed. The results show that there is a significant difference between high-score students and low-score students in using instructional software in classroom learning, especially with regards to their learning motivation towards it. Additionally, the use of epistemic network analysis technology could improve the accuracy of decision-making reference for evaluating the effect of software use and implementing accurate teaching.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shaffer, D.W., Collier, W., Ruis, A.R.: A tutorial on epistemic network analysis: analyzing the structure of connections in cognitive, social, and interaction data. J. Learn. Anal. 3, 9–45 (2016)
Xiao, A.-B., Xie, J., Gong, F.-Q.: The application of rain classroom on the flipped teaching of ideological and political theory course in universities. Mod. Educ. Technol. 05, 47–53 (2017)
Wang, R.-J., Yang, Z.-H.: Application of rain classroom on flipped classroom. Mod. Comput. (2018)
Liu, M.-J., Xiao, H.-Y.: A review of the research on study motivation. J. Shanxi Datong Univ. (2009)
Keller, J.M.: First Principles of motivation to learn and e-learning. Distance Educ. 29(2), 175–185 (2008)
Gu, P.Y.: Strategies in learning and using a second language (second edition). ELT J. 66(2), 251–253 (2012)
Schroedermoreno, M.S.: Enhancing active and interactive learning online - lessons learned from an online introductory agroecology course. NACTA J. 54, 21–30 (2010)
Shaffer, D.W., Hatfield, D.: Epistemic network analysis: a prototype for 21st century assessment of learning. Int. J. Learn. Media 2, 33–53 (2009)
Shaffer, D.W., Hatfield, D.: Epistemic network analysis: a worked example of theory-based learning analytics. In: Handbook of Learning Analytics, pp. 175–187 (2017)
Cai, Z., Eagan, B., Dowell, N., et al.: Epistemic network analysis and topic modeling for chat data from collaborative learning environment. In: Proceedings of the 10th International Conference on Educational Data Mining, pp. 104–111 (2017)
Fougt, S.S., Siebert-Evenstone, A., Eagan, B., et al.: Epistemic network analysis of students’ longer written assignments as formative/summative evaluation. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge, pp. 126–130. ACM (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Yue, L., Hu, Y., Xiao, J. (2019). Applying Epistemic Network Analysis to Explore the Application of Teaching Assistant Software in Classroom Learning. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-33232-7_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33231-0
Online ISBN: 978-3-030-33232-7
eBook Packages: Computer ScienceComputer Science (R0)