Learning Technologies: Chatbots to Support Personalized Learning

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Author(s): Daina Gudoniene (Kaunas University of Technology, Lithuania), Tomas Blazauskas (Kaunas University of Technology, Lithuania), Rita Butkiene (Kaunas University of Technology, Lithuania), Lina Čeponienė (Kaunas University of Technology, Lithuania)and Evelina Staneviciene (Kaunas University of Technology, Lithuania)
Copyright: 2024
Pages: 18
Source title: Creating Learning Organizations Through Digital Transformation
Source Author(s)/Editor(s): Henrique S. Mamede (INESC-TEC, Universidade Aberta, Portugal)and Arnaldo Santos (Universidade Aberta, Portugal)
DOI: 10.4018/979-8-3693-0556-0.ch005

Keywords: Business Science Reference / Human Resources Management / Knowledge Management and Library Science / Organizational Learning

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Abstract

The aim of the chapter is to present the learning technologies helping students to get high-quality personalised assistance in the learning process. Digital transformation in education makes a huge impact on the quality of education; however, authors are focusing on the chatbots that can be used for providing personalised support and guidance to students in education. Moreover, chatbots can help to improve academic performance and reduce the number of drop out students. The authors will discuss the chatbot aspects based on the 6 main chatbot parameters that determine design and development presented by Kumar: (1) knowledge, (2) services, (3) goals, (4) input processing, (5) human aid, and (6) building open-source or closed platforms. These parameters convey that a chatbot can fulfil numerous communication and interaction functionalities based on needs, platforms, and technologies.

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