Research Framework and Design of Incorporation of Conversational Agent in Mathematics Learning
- DOI
- 10.2991/978-94-6463-094-7_24How to use a DOI?
- Keywords
- Conversational-based agent; edubot; Vygotsky theory; scaffolding
- Abstract
Mathematics is a fundamental core subject of STEM education. However, mathematics concepts are abstract and many students having difficulties to understand it. Moreover, some students are lack of confident, having negative feelings towards mathematics, feel not relax and cannot focus in mathematics class. Furthermore, university classes usually are large scale that make individualized assistance difficult to achieve. Conversational agents (CA), an automated computer software, allow users to interact with it through human language dialogues may implement into education to support the teaching and learning process. Nonetheless, CA still in the beginning stage to implement in education domain where the CA research in this domain, especially mathematics subject, is found scarce. This study is to incorporate CA into undergraduate mathematics learning. This paper is to present the research framework based on Vygotsky’s ideas and research design with mixed-methods using multi-instruments.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Choo Peng Tan AU - Choo Kim Tan AU - Siong Hoe Lau AU - Ah Choo Koo PY - 2022 DA - 2022/12/27 TI - Research Framework and Design of Incorporation of Conversational Agent in Mathematics Learning BT - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022) PB - Atlantis Press SP - 301 EP - 312 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-094-7_24 DO - 10.2991/978-94-6463-094-7_24 ID - Tan2022 ER -