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Title: | The application of smart class with artificial intelligence for learning achievement of situation and policy course of year 3 university students in China |
Authors: | Jiabei Tang |
metadata.dc.contributor.advisor: | Nipaporn Sakulwongs |
Keywords: | Artificial intelligence -- Educational applications;Computers and Education;Artificial intelligence;Learning Achievement; Education -- Data processing |
Issue Date: | 2023 |
Publisher: | Rangsit University. Library |
metadata.dc.description.other-abstract: | This mixed methods study compared year 3 university students' Situation and Policy course achievement before and after using Smart Class with AI and investigated their satisfaction towards the use of Smart Class with AI in a Situation and Policy course in JiangXi Province, China. The sample group consisted of 20 year 3 university students from Nanchang Institute of Technology, China. Quantitative and qualitative data were collected through four lesson plans, pre-test, post-test, questionnaire and focus group interview. Quantitative data were analysed using means, standard deviations and paired sample t-test. Qualitative data were analysed using thematic analysis. Data collection lasted for four weeks and a teaching experiment. The results of the pre-test and post-test showed that the students in the sample group significantly improved their learning achievement of Situation and Policy course. The questionnaire received high evaluation results, and most students felt satisfied. This study demonstrated that the use of Smart Class with AI provided an alternative and effective method for Situation and Policy course. |
Description: | Thesis (M.Edu. (Curriculum and Instruction)) -- Rangsit University, 2023 |
metadata.dc.description.degree-name: | Master of Education |
metadata.dc.description.degree-level: | Master's Degree |
metadata.dc.contributor.degree-discipline: | Curriculum and Instruction |
URI: | https://rsuir-library.rsu.ac.th/handle/123456789/2898 |
metadata.dc.type: | Thesis |
Appears in Collections: | EDU-CI-M-Theses |
Files in This Item:
File | Description | Size | Format | |
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JIABEI TANG.pdf | 778.87 kB | Adobe PDF | View/Open |
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