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.
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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
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DOI: https://doi.org/10.1007/978-3-030-33232-7_32
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