Intelligent Education Assistant Powered by Chatbots Cover Image

Intelligent Education Assistant Powered by Chatbots
Intelligent Education Assistant Powered by Chatbots

Author(s): Vlad FERNOAGA, George-Alex STELEA, Cristinel Gavrilă, Florin Sandu
Subject(s): Social Sciences, Education
Published by: Carol I National Defence University Publishing House
Keywords: Machine learning; e-Assisted teaching; blended learning; chatbots; micro- services; real time understanding individualized assessment;

Summary/Abstract: Over the last decade, the technology advancements were quickly absorbed and integrated into education processes and eLearning which enabled the development of efficient and innovative solutions able to act as customer tailored learning resources. One of the most ground-breaking innovations in the eLearning field is the integration of Chatbots technology into teaching experience, which acts as an intelligent bridge between education and technology. Chatbots technology can be used in a wide spectrum of fields due to its flexibility and ability to adapt to the pace at which each individual feels comfortable, without causing overwhelming or exhaustion. This paper aims to blend e-Assisted learning and communication into classrooms, introducing Chatbots as real-time educational assistants for the teacher - they are designed to distribute interactivity with students and to manage it at individualized level. This approach adds a highly increased degree of interactivity and personalization to the learning experience, aspects which are critical from the student point of view as each individual has its own learning and understanding capabilities. The authors combined modern software technologies such as Cloud based development, micro-services, Java technologies and Chatbots to create an automated closed loop for the teaching pace and adaptive complexity in a classroom. The proposed solution avoids putting the teacher in a secondary position, shadowed by technology - it rather empowers him with e-Assistants that give him access to a real time and relevant statistic of individual students’ understanding level - a valuable feedback for personalized education which leads to an improved mentorship quality.

  • Issue Year: 14/2018
  • Issue No: 02
  • Page Range: 376-383
  • Page Count: 8
  • Language: English