Integration of a Chatbot to Facilitate Access to Educational Content in Digital Universities

Birahim Babou, Khalifa Sylla, M. Sow, S. Ouya
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Abstract

Digital universities have been developed in several countries, particularly on the African continent, to meet the need for massification in the higher education sector. However, the lack of physical space is a major drawback, preventing learners from succeeding and increasing the drop-out rate compared with a conventional university. In these digital universities, learners use distance learning platforms to complete their training. For a good training, mastery of the fundamental modules is essential. With the frequent use of messaging applications, the integration of Artificial Intelligence (AI) could promote and facilitate access to educational content and enhance their learning experience. In this article, we propose a model for integrating a chatbot that will enable learners to access training modules to increase their knowledge and master core modules through formative skills assessments. The model we propose is based on the use of Machine Learning (ML) with the Rasa open-source framework and the Moodle Learning Management System (LMS) platform.
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整合聊天机器人,为获取数字大学的教育内容提供便利
为了满足高等教育大众化的需求,一些国家,尤其是非洲大陆的国家,已经开发了数字大学。然而,与传统大学相比,缺乏物理空间是一个主要缺点,阻碍了学习者取得成功,并增加了辍学率。在这些数字化大学中,学习者利用远程学习平台完成培训。要想获得良好的培训效果,掌握基本模块至关重要。随着信息应用的频繁使用,人工智能(AI)的集成可以促进和便利教育内容的获取,并增强他们的学习体验。在本文中,我们提出了一个整合聊天机器人的模型,该模型将使学习者能够访问培训模块,通过形成性技能评估增加知识并掌握核心模块。我们提出的模型基于机器学习(ML)与 Rasa 开源框架和 Moodle 学习管理系统(LMS)平台的结合使用。
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