scholarly journals Analysis of Worldwide Research Trends on the Impact of Artificial Intelligence in Education

2021 ◽  
Vol 13 (14) ◽  
pp. 7941
Author(s):  
Seungsu Paek ◽  
Namhyoung Kim
Keyword(s):  
Artificial Intelligence ◽  
Evaluation System ◽  
Teaching And Learning ◽  
Latent Dirichlet Allocation ◽  
Research Trends ◽  
Dramatic Rise ◽  
Artificial Intelligence In Education ◽  
Current Impact ◽  
Future Direction ◽  
The Impact

In today’s world, artificial intelligence (AI) and human intelligence coexist, and no field is free from the impact of AI. At present, education cannot be discussed without mentioning AI, which has an omnidirectional impact on all its areas, including the purpose, content, method, and evaluation system. This study aimed to explore the future direction of education by examining the current impact and predicting future impacts of AI. It also examined research trends and collaboration status by country through network analysis, topic modeling and global research trends in AI in education (AIED), by applying the Latent Dirichlet Allocation algorithm. Over the past 20 years, the number of papers on AIED has steadily increased, with a dramatic rise since 2015. The research can be broadly classified into eight topics, including “changes in the content of teaching and learning.” Using a linear regression model, three hot topics, two cold topics and trend changes for each research topic were identified. The study found that AIED research should be more thematically diversified and in-depth; this directly applies AI algorithms and technologies to education, which should be further promoted. This study provides a reference for exploring the direction of future AIED research.

scholarly journals Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education

Information ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Petros Lameras ◽  
Sylvester Arnab
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Teaching And Learning ◽  
Data Driven ◽  
Synthesis Process ◽  
Analysis And Synthesis ◽  
Analysis Strategy ◽  
Artificial Intelligence In Education ◽  
The Impact ◽  
Meaningful Data

This exploratory review attempted to gather evidence from the literature by shedding light on the emerging phenomenon of conceptualising the impact of artificial intelligence in education. The review utilised the PRISMA framework to review the analysis and synthesis process encompassing the search, screening, coding, and data analysis strategy of 141 items included in the corpus. Key findings extracted from the review incorporate a taxonomy of artificial intelligence applications with associated teaching and learning practice and a framework for helping teachers to develop and self-reflect on the skills and capabilities envisioned for employing artificial intelligence in education. Implications for ethical use and a set of propositions for enacting teaching and learning using artificial intelligence are demarcated. The findings of this review contribute to developing a better understanding of how artificial intelligence may enhance teachers’ roles as catalysts in designing, visualising, and orchestrating AI-enabled teaching and learning, and this will, in turn, help to proliferate AI-systems that render computational representations based on meaningful data-driven inferences of the pedagogy, domain, and learner models.

Teaching and Learning With Artificial Intelligence

2021 ◽  
pp. 73-98
Author(s):  
Libi Shen ◽  
Irene Chen ◽  
Anne Grey ◽  
Anchi Su
Keyword(s):  
Artificial Intelligence ◽  
Teaching And Learning ◽  
Learning Assessment ◽  
Modern World ◽  
Learning And Teaching ◽  
Curriculum Assessment ◽  
Education Major ◽  
Fast Speed ◽  
Artificial Intelligence In Education ◽  
Teaching Learning

Artificial intelligence (AI) is developing at a fast speed and has incessantly impacted the modern world for decades. AI technologies are beneficial for all kinds of industries, including businesses, economics, transportation, hospitals, schools, universities, and so forth. Many researchers have investigated the development of artificial intelligence in education (AIEd), specifically on how AI assists teaching, learning, assessment, references, and collaboration. Several questions arise. What impact do AI technologies have on education? How do AI technologies assist teaching (e.g., curriculum, assessment, student learning, and teaching practices)? How do teachers cope with AI Technologies in education? What are the ethical concerns of AI technologies? What are the barriers of AI-based learning in education? The purpose of this chapter is to explore the evolution and the challenges of AI technologies in education. Major research on AI from 1999 to 2019 will be reviewed. Problems with AI in education will be raised and solutions for solving the issues will be recommended.

scholarly journals Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAPRESEARCH)

2020 ◽  
Vol 17 (6) ◽  
pp. 1982 ◽  
Author(s):  
Giang Thu Vu ◽  
Bach Xuan Tran ◽  
Roger S. McIntyre ◽  
Hai Quang Pham ◽  
Hai Thanh Phan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Latent Dirichlet Allocation ◽  
Developed Countries ◽  
The United States ◽  
Bibliographic Analysis ◽  
Novel Treatments ◽  
Future Direction ◽  
Bibliometrics Analysis ◽  
Research Domains

The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat diabetes and its complications. Applying artificial intelligence in complimenting the diagnosis, management, and prediction of the diabetes trajectory has been increasingly common over the years. This study aims to illustrate an inclusive landscape of application of artificial intelligence in diabetes through a bibliographic analysis and offers future direction for research. Bibliometrics analysis was combined with exploratory factor analysis and latent Dirichlet allocation to uncover emergent research domains and topics related to artificial intelligence and diabetes. Data were extracted from the Web of Science Core Collection database. The results showed a rising trend in the number of papers and citations concerning AI applications in diabetes, especially since 2010. The nucleus driving the research and development of AI in diabetes is centered around developed countries, mainly consisting of the United States, which contributed 44.1% of the publications. Our analyses uncovered the top five emerging research domains to be: (i) use of artificial intelligence in diagnosis of diabetes, (ii) risk assessment of diabetes and its complications, (iii) role of artificial intelligence in novel treatments and monitoring in diabetes, (iv) application of telehealth and wearable technology in the daily management of diabetes, and (v) robotic surgical outcomes with diabetes as a comorbid. Despite the benefits of artificial intelligence, challenges with system accuracy, validity, and confidentiality breach will need to be tackled before being widely applied for patients’ benefits.

scholarly journals Research on the Evaluation and Optimization Method of the Impact of Chorus Education on University Culture Based on Coevolution Model in the Background of Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qingna Lin ◽  
Lizheng Zhuo
Keyword(s):  
Artificial Intelligence ◽  
Evaluation System ◽  
Quantitative Methods ◽  
Comprehensive Evaluation ◽  
Colleges And Universities ◽  
Practical Significance ◽  
University Culture ◽  
Research Perspectives ◽  
Artificial Intelligence Technology ◽  
The Impact

The development of artificial intelligence technology is a field where all walks of life need to carry out in-depth research in the future, and the introduction of artificial intelligence technology in the field of university evaluation has become an inevitable trend. Through the collection and collation of the literature at home and abroad, the influence of chorus education on college culture in China has long remained in qualitative and experiential judgment and the significance and value of chorus education to colleges and universities are relatively single. Therefore, it is of great innovative value and practical significance to establish a scientific, systematic, and comprehensive evaluation mechanism for the impact of chorus education on university culture and to scientifically analyze key issues, establish evaluation criteria, and inject new research perspectives into the promotion of chorus education in colleges and universities in China, combining with the mature coevolution theoretical model of management science. It is of great innovative value and significance to combine the DEMATEL research method with the current practice of promoting chorus education in China’s colleges and universities and to systematically and comprehensively construct the evaluation system and research paradigm in line with chorus education by using the qualitative and quantitative methods.

Artificial Intelligence in Education

2020 ◽  
Vol 8 (3) ◽  
pp. 49-56
Author(s):  
Vassya Likova-Arsenova
Keyword(s):  
Artificial Intelligence ◽  
Policy Development ◽  
High Technology ◽  
Educational Programs ◽  
Point Of View ◽  
Ethical Challenges ◽  
Artificial Intelligence In Education ◽  
Effective Policy ◽  
The Impact ◽  
And Training

The article examines the impact of Information Technology (IT) and Artificial Intelligence (AI) in education, the joint design of working with high technology and the need for effective policy development. The use of AI in education is an important topic for teachers from both a conceptual and a practical point of view. Ethical challenges in the training and working with AI are on the agenda. It is necessary to adapt the educational programs for future pedagogues in regards to implementing AI in teaching and training.

scholarly journals Impact of COVID-19 on Educational Sustainability. Initial Perceptions of the University Community of the University of Cádiz

2021 ◽  
Vol 13 (11) ◽  
pp. 5938
Author(s):  
María Alonso-García ◽  
Tamara María Garrido-Letrán ◽  
Alberto Sánchez-Alzola
Keyword(s):  
Evaluation System ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Teaching Staff ◽  
Face To Face ◽  
Sustainable Education ◽  
E Learning ◽  
The Government ◽  
The University ◽  
The Impact

This research analyses the impact of COVID-19 on the Spanish university system during the period of home lockdown put in place by the government of Spain between 15 March and 21 June 2020. This period did not involve a change to online teaching. Instead, it involved emergency remote teaching, wherein the content of face-to-face teaching was taught through non-classroom training using media, devices and tools available at that time. The main objective of the paper is related to the perceptions of students and teachers on emergency remote teaching regarding the face-to-face model. We applied statistical techniques of descriptive and inferential analysis over a sample of 2778 students and 221 teaching staff from the University of Cádiz. We also analysed the methodologies used, as well as the acquisition of skills, competencies and knowledge by the students in this situation, in order to detect whether this type of action can achieve sustainable education. This term refers to education that is capable of maintaining the continuous quality of the training of each student, who should acquire the required knowledge and competences regardless of unforeseen events. However, according to the results of this research, the sudden transition to e-learning, based on available technological and computer-based methods, did not guarantee sustainable education or its quality. This study establishes different possibilities for improving non-face-to-face teaching in this kind of situation. The results show greatly concerning levels of training and evaluation, as well as worse acquisition of skills. Both teachers and students declared a preference for face-to-face teaching. This perception should prompt the educational authorities to solve the existing problems in e-learning education, improving the transition and guaranteeing the sustainability of non-face-to-face education. This research highlights the areas for improvement in e-learning education in the ongoing situation, the general uncertainty in the transition, the lack of communication and the completion of a fair evaluation system. The results show that the methods used in this period must be improved to achieve sustainable teaching and learning during a pandemic. The results also emphasize the uncertainty in the educational community about the entire process. This study will help the educational authorities to improve the change of paradigm in higher education in the future.

scholarly journals eBook Technology Facilitating University Education During COVID-19: Japanese Experience

2021 ◽  
Vol 47 (4) ◽  
Author(s):  
Rwitajit Majumdar ◽  
Brendan Flanagan ◽  
Hiroaki Ogata
Keyword(s):  
Artificial Intelligence ◽  
Management System ◽  
Teaching And Learning ◽  
University Education ◽  
Learning Materials ◽  
Japanese Experience ◽  
Reading Materials ◽  
National University ◽  
Artificial Intelligence In Education ◽  
University Level

UNESCO reported that 90% of students are affected in some way by COVID-19 pandemic. Like many countries, Japan too imposed emergency remote teaching and learning at both school and university level. In this study, we focus on a national university in Japan, and investigate how teaching and learning were facilitated during this pandemic period using an ebook platform, BookRoll, which was linked as an external tool to the university’s learning management system. Such an endeavor also reinforced the Japanese national thrust regarding explorations of e-book-based technologies and using Artificial Intelligence in education. Teachers could upload reading materials for instance their course notes and associate an audio of their lecture. While students who registered in their course accessed the learning materials, the system collected their interaction logs in a learning record store. Across the spring semesters from April - July 2020, BookRoll system collected nearly 1.5 million reading interaction logs from more than 6300 students across 243 courses in 6 domains. The analysis highlighted that during emergency remote teaching and learning BookRoll maintained a weekly average traffic above 1,900 learners creating more than 78,000 reading logs and teachers perceived it as useful for orchestrating their course.

scholarly journals A Review on Artificial Intelligence in Education

2021 ◽  
Vol 10 (3) ◽  
pp. 206
Author(s):  
Jiahui Huang ◽  
Salmiza Saleh ◽  
Yufei Liu
Keyword(s):  
Artificial Intelligence ◽  
Education Reform ◽  
Adaptive Learning ◽  
Teaching And Learning ◽  
Rapid Development ◽  
Virtual Classroom ◽  
Teaching Evaluation ◽  
Innovative Technologies ◽  
Artificial Intelligence In Education ◽  
Positive Meaning

The emergence of innovative technologies has an impact on the methods of teaching and learning. With the rapid development of artificial intelligence (AI) technology in recent years, using AI in education has become more and more apparent. This article first outlines the application of AI in the field of education, such as adaptive learning, teaching evaluation, virtual classroom, etc. And then analyzes its impact on teaching and learning, which has a positive meaning for improving teachers' teaching level and students' learning quality. Finally, it puts forward the challenges that AI applications may face in education in the future and provides references for AI to promote education reform.   Received: 16 January 2021 / Accepted: 24 March 2021 / Published: 10 May 2021

scholarly journals Title One Laptop on Each Desk: Teaching Methods in Technology Rich Classrooms

Seminar.net ◽  
2015 ◽  
Vol 11 (3) ◽  
Author(s):  
Catarina Player-Koro ◽  
Martin Tallvid
Keyword(s):  
Teaching Methods ◽  
Evaluation System ◽  
Teaching And Learning ◽  
Theoretical Concept ◽  
Upper Secondary ◽  
Pedagogic Discourse ◽  
Title One ◽  
Impact Of Technology ◽  
The Impact ◽  
Point Of Departure

This article takes its point of departure from the main findings from research in four upper secondary schools in a 1:1 initiative (one laptop per student) and reports on a deeper analysis of four classrooms that are part of the empirical study. This study aims to investigate how teaching and learning in technology-rich classrooms are structured and thus contribute to the development of knowledge about the impact of technology on the structuring of teaching and learning in educational practices.Bernstein’s theoretical concept of the pedagogic discourse is used to make visible how the main incentive for teaching methods is the evaluation system that recontextualises traditional discourses about teaching and learning. The conclusion is that fundamental transformations of education is less about technology and more about the changing of the structures and discourses concerningteaching, learning and education.

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