The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Aided Teaching Model in Education 5.0
|
|
Author(s): Alex Khang (Global Research Institute of Technology and Engineering, USA), Muthmainnah Muthmainnah (Universitas Al Asyariah Mandar, Indonesia), Prodhan Mahbub Ibna Seraj (American International University-Bangladesh, Dhaka, Bangladesh), Ahmad Al Yakin (Universitas Al Asyariah Mandar, Indonesia)and Ahmad J. Obaid (Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq)
Copyright: 2023
Pages: 22
Source title:
Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse
Source Author(s)/Editor(s): Alex Khang (Global Research Institute of Technology and Engineering, USA), Vrushank Shah (Institute of Technology and Engineering, Indus University, India)and Sita Rani (Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, India)
DOI: 10.4018/978-1-6684-8851-5.ch004
Purchase
|
Abstract
In the educational setting, artificial intelligence (AI) technology, notably chatbots, has made substantial improvements in English learning. This study aims to determine the effectiveness of using the Artificial Intelligence Virtual Dream Friend and John English Boot applications on learning English in the 5.0 revolution era in English courses for first-semester students at university. The assessment method used is a quantitative research method and research design (quasi-experiment design). Based on the results of the study, it can be concluded that the results of the comparison test showed that My Virtual Dream Friend and John English Bot were both effective for use as computer tutoring in English courses and also increased interest in learning English in the 5.0 revolution era compared to previous conventional methods. The outcomes of this study might be used to direct future research into utilizing chatbots outside of the classroom as learning companions, and educators could use them to adapt evaluation and feedback procedures.
Related Content
|
Kumar Shalender, Babita Singla.
© 2024.
11 pages.
|
|
R. Akash, V. Suganya.
© 2024.
32 pages.
|
|
Prathmesh Singh, Arnav Upadhyaya, Nripendra Singh.
© 2024.
14 pages.
|
|
Arpan Anand, Priya Jindal.
© 2024.
13 pages.
|
|
Surjit Singha, K. P. Jaheer Mukthar.
© 2024.
26 pages.
|
|
M. Vaishali, V. Kiruthiga.
© 2024.
14 pages.
|
|
Ranjit Singha, Surjit Singha.
© 2024.
21 pages.
|
|
|