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Developing an Educational Chatbot for Scientific Data Management Course Using DialogFlow |
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PP: 629-640 |
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doi:10.18576/amis/180315
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Author(s) |
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Manal M. A. Abdelmoiz,
Mohamed M. M. Mostafa,
Taysir H. A. Soliman,
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Abstract |
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| The COVID-19 pandemic has radically altered the worldwide learning environments, setting the stage for Electronic Learning (E-Learning) advancement, where remote learning is facilitated through digital tools. The key stakeholders (professors, teaching assistants, and students) face bottlenecks as they shift to online education providing blended learning. New learning tools based on Natural Language Processing (NLP) are provided. Designing a chatbot is one of the solutions to deal with this issue. Chatbots are simple computer programs that attempt to simulate human conversation using Artificial Intelligence (AI) and NLP. They allow learners to have a standardized learning environment. In this paper, we have set up a chatbot application named Scientific Data Management BOT (SDMBOT) for handling E-Learning activities specifically for Scientific Data Management (SDM) courses based on AI and NLP techniques using Dialogflow Framework, a Google development platform for building NLP-based human-computer interface solutions. SDMBOT was trained on a dataset that was specifically created based on course content. The web or mobile app, via which our built chatbot is available, is used for student interaction. Students can ask the chatbot questions concerning SDM, and the chatbot will process the message and respond to the user by displaying the proper result. The accuracy of the SDM chatbot, which is calculated by using a confusion matrix indicated that our chatbot is 74 % accurate.
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