Claim Missing Document
Check
Articles

Found 2 Documents
Search

Chatbot Artificial Intelligence as Educational Tools in Science and Engineering Education: A Literature Review and Bibliometric Mapping Analysis with Its Advantages and Disadvantages Al Husaeni, Dwi Fitria; Haristiani, Nuria; Wahyudin, W.; Rasim, R.
ASEAN Journal of Science and Engineering Vol 4, No 1 (2024): AJSE: March 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v4i1.67429

Abstract

This research was conducted to analyze the application, utilization or use of AI chatbots in the education sector based on several previous studies. Bibliometric analysis is used to identify the current status of research and critical points in bibliometric data mapping can help predict future research trends. Data searches were carried out on the Scopus database with the keywords "Chatbot" AND "education" with a research year range of 2007-2024. There were 376 articles found. The research results show that research on chatbots, especially in the education sector, is increasingly in demand. In 2023 there will be a drastic increase in the number of studies regarding chatbots in the education sector compared to previous years. This is because chatbots are considered to be an interesting tool to use in education because they enable a more innovative teaching process in terms of improving learning processes and outcomes. There are 25 countries that have contributed to related research, with the United States, Australia, United Kingdom, China and Taiwan in the top five. This research also shows that there are 26 subject areas that have used chatbots in the education sector. The use of chatbots in the education sector has advantages and disadvantages. With the completion of this research, it is hoped that it can become material for consideration for related research.
Developing Computational Thinking Questions for Upper Elementary Students with Mild Autism Spectrum Disorder Al Husaeni, Dwi Novia; Munir, M.; Rasim, R.; Santoso, Yoga Budhi; Prabawa, Harsa Wara; Kusnendar, Jajang
Indonesian Journal of Community and Special Needs Education Vol 4, No 2 (2024): IJCSNE: September, 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijcsne.v4i2.78944

Abstract

This research developed questions to measure the improvement in computational thinking (CT) abilities of children with mild autism spectrum disorder (ASD). A quantitative approach was used in this research, with data collection through filling out expert judgment questionnaires by material experts and questions related to CT. The study results showed that the questions created were considered good for use in improving the CT abilities of children with ASD. The results of material expert validation showed an average value of 78.32%, which falls into the good category. In contrast, the question expert validation gives a perfect score, which confirms the validity of the questions created for the material and learning objectives used. The question instrument developed includes three main components of CT, namely decomposition, pattern recognition, and algorithm design, with a design that uses images and visual elements as well as simple instructions to facilitate understanding and involvement in children with ASD. This study bring a positive contribution to the development of more inclusive and effective CT learning for children with ASD.