JAICOB: A Data Science Chatbot

IEEE Access

Carlos A. Iglesias¹  Juan Fernando Sanchez Sanchez Rada¹  Daniel Carlander-Reuterfelt¹  Alvaro Carrera²  Sergio Munoz²  Oscar Araque² 

[1] Grupo de Sistemas Inteligentes, Universidad Polit&x00E9;cnica de Madrid, Madrid, Spain;

关键词: Cognitive informatics;    educational technology;    human-computer interaction;    machine learning;    natural language processing;   

DOI  :  10.1109/ACCESS.2020.3024795

来源: DOAJ

【 摘 要 】

The application of natural language to improve students' interaction with information systems is demonstrated to be beneficial. In particular, advances in cognitive computing enable a new way of interaction that accelerates insight from existing information sources, thereby contributing to the process of learning. This work aims at researching the application of cognitive computing in blended learning environments. We propose a modular cognitive agent architecture for pedagogical question answering, featuring social dialogue (small talk), improved for a specific knowledge domain. This system has been implemented as a personal agent to assist students in learning Data Science and Machine Learning techniques. Its implementation includes the training of machine learning models and natural language understanding algorithms in a human-like interface. The effectiveness of the system has been validated through an experiment.

【 授权许可】

Unknown