Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning

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Abstract

This chapter aims to provide a better understanding of how AI technology can be used to assist in teaching and learning at schools. The Smart Learning Partner (SLP) educational platform is based on AI technology to provide new possibilities for individualized learning and more educational resources. We used a case study approach to investigate how this AI-aided SLP platform helped to assist in teaching and learning from the multiple users’ perspectives of students, teachers, and the principal at a Chinese school. This chapter starts with a description of AI used in education and learning. The AI-aided SLP educational platform is then presented to illustrate in what ways it works to assist in teaching and learning. Based on the users’ self-reported experience, this platform can support students’ learning by providing students with individualized diagnostic feedback and assessments as well as information about the progress of their learning. In addition, students receive recommendations of micro lectures from the platform to aid improvement based on the students’ assessment results. Additionally, students can also access various micro lectures according to their interests. This platform provides teachers with reports of real-time learning situations and progress at the individual or class level. Accordingly, teachers can better adjust their pedagogical decision and teaching according to the students’ needs. The principal used the information to allocate resources and assist in curriculum planning at school. In conclusion, all users positively stated that this AI-aided SLP platform assisted in teaching and learning at school even though there were still certain challenges. At the end of the chapter, recommendations for the future platform design are offered.

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APA

Niu, S. J., Li, X., & Luo, J. (2022). Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning. In AI in Learning: Designing the Future (pp. 215–231). Springer International Publishing. https://doi.org/10.1007/978-3-031-09687-7_13

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