Artificial Intelligence Research During COVID-19 Pandemic: Contributed to Future Education

The benefits of student question generation have been extensively established, yet most students do not engage in question-generation activities throughout their formal education and are not used to writing questions. The goal of this project was to create a flexible online learning environment that highlights several types of scaffolding in order to better assist student question production activities in a timely, adaptable, and practically possible manner. The system’s underlying architecture and design principles are outlined. The objective of this work is so utilise Chat-GPT that guides student generated questions. The potential of the student-generated question method of instruction is explored, as is an initial examination of students’ impressions of the helpfulness of the different built-in support systems. Suggestions on how the study’s findings could be used in the classroom and in future research are offered. It has been established that perceived utility plays a significant influence in the dissemination and acceptance of new technology for a wide variety of innovations. Finally, the link between the students’ impressions of the utility of the framework in the established system and their cognitive skills regarding the educational potential of student-generated questions was investigated.

Section: Resultsmentioning

confidence: 99%

An artificial intelligence-based tool for student-generated question

Anistyasari,

Ekohariadi,

Yani

et al. 2024

“…The application of bioinformatics has facilitated the advancement of novel pharmaceuticals, immunizations, and diagnostic instruments [17,18]. Bibliometrics has an important contribution in research [19][20][21][22][23]. The novelty and importance of further research can be obtained from bibliometric analysis [24][25][26][27][28].…”

Section: Resultsmentioning

confidence: 99%

Trends in research publication topics related to eco enzymes with bibliometric analysis

Winarsih,

Kohar,

Ratih

et al. 2023

Ecoenzyme is a potential sustainable waste management solution that could make waste management more beneficial. This study seeks to analyze the evolution of ecoenzyme-related research publication topic trends over the past decade, then visualize them and identify potential ecoenzyme-related research topics for future study. Using Publish or Perish software with Google Scholar database sources and VOSviewer software, this research method employs a literature review and bibliometric analysis. The investigation and search produced a collection of published document metadata regarding ecoenzymes that included up to 666 documents from 2013 to 2023. During that time, ecoenzyme-related research publications covered a variety of topics, including composition, training, and product development. N. Ginting and T. Wikaningrum are the authors who have contributed the most to the publication of the ecoenzyme topic, with a total of 12 publication documents. Further research can be conducted on the development of ecoenzymes, such as the investigation of the efficacy and effectiveness of using ecoenzymes and the investigation of other ecoenzyme research involving various other scientific disciplines. This study has limitations due to its reliance on data obtained through Google Scholar and its lack of a rigorous screening process. Therefore, it is recommended that future research take additional measures to filter more collected data.

“…Bibliometrics has an important contribution in research [11][12][13][14][15]. The novelty and importance of further research can be obtained from bibliometric analysis [16][17][18][19][20].…”

Section: Resultsmentioning

confidence: 99%

Bibliometric analysis of Mosquito population research peaks

Winarsih,

Mulyati,

Adi Nugroho

et al. 2023

Research regarding the topic of mosquito population has been on the rise in the last 13 years, and because of that, it is an interesting topic to analyze the trends and growth of. This paper aims to analyze research papers and journals, then visualize research trends on the topic of mosquito population in the last 13 years and identify potential research topics related to mosquito population for future research. The method of this study uses a literature review and bibliometric analysis using Google Scholar, DBLP, and VOSviewer databases, in which 999 documents were collected. The results illustrate that mosquito population research has been on the rise gradually, reaching its peak in 2020 and showing a decline afterwards. The author with the highest contribution is Giovanni Belleni, and the most common type of document is a research paper. More research regarding mosquito populations can be used to analyze the transmission of diseases and the effects of climate change. This study is limited in its scope because most of the data was obtained through Google Scholar and DBLP without thorough filtering. Hence, it is recommended for future research to go through additional steps to filter more of the obtained data.