Machine learning based chatbot for higher education success
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Date
2022
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Abstract
In this dissertation, a machine learning based chatbot is evaluated for its effectiveness in supporting undergraduate Computer Science students. Using Rasa open-source framework and behavioral science theories, a chatbot was created to support undergraduate students taking the Computer Networks 1 course at the School of Computer Science in a private selective university in Kazakhstan. A randomized experiment with 103 undergraduates majoring in Computer Science showed that the chatbot intervention had no effect on students’ performance during the semester and in the final exam. Neither did the chatbot affect student attendance. At the same time, the chatbot increased course satisfaction by about 3 points. The results suggest that the chatbot intervention does improve stude
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Keywords
machine learning based chatbot, Computer Science behavioral science theories, university, final exam, chatbot intervention