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

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.

The Future of ICT/LKT in the Teaching and Learning of Social Sciences, Geography, and History

2020 ◽  
pp. 268-291
Keyword(s):  
Social Sciences ◽  
Artificial Intelligence ◽  
Adaptive Learning ◽  
Teaching And Learning ◽  
Industrial Revolution ◽  
Learning Goals ◽  
Fourth Industrial Revolution ◽  
Online Tools ◽  
The Social ◽  
New Challenges

Most experts consider that society has entered in a Fourth Industrial Revolution that implies ubiquitous changes characterized by a fusion of technologies that is blurring the lines that differentiate physical, digital, and biological spheres. This implies to open a door to important changes in the teaching and learning of the social sciences, geography, and history. Regarding this, it is necessary that both citizens and organizations develop new skills. Artificial intelligence as education technology is possible due to digital and online tools. Adaptive learning, meanwhile, is related to artificial intelligence, personalizing the learning and offering contents adapted to students. New challenges in the teaching of social sciences extends beyond the learning of facts and events. As a result of changes in society of Fourth Industrial Revolution, thinking-based learning (TBL) with the support of learning and knowledge technologies (LKT), creativity, critical thinking, and cooperation are some of the essential learning goals to participate in society.

AI-Based Virtual Classroom Simulator With a Recommendation System in Preservice Teacher Training During COVID-19

2022 ◽  
pp. 33-45
Author(s):  
Şeyma Çağlar Özhan ◽  
Arif Altun
Keyword(s):  
Artificial Intelligence ◽  
Teacher Training ◽  
Classroom Management ◽  
Classroom Environment ◽  
Teaching And Learning ◽  
Recommendation System ◽  
Management Strategies ◽  
Virtual Classroom ◽  
Learning Tools ◽  
Classroom Management Strategies

Teaching practicum is an essential component of any teacher training program. It usually involves theoretical knowledge related to content and teaching in general, classroom management strategies, and skills utilized when confronted with challenging situations. Distance learning tools may impact knowledge transfer. Using artificial intelligence-based virtual classrooms posed a challenge for pre-service teachers to address teaching and learning due to the COVID-19 pandemic. This study addresses incorporating an artificial intelligence-based virtual classroom environment with a recommendation feature as an open-access software to help pre-service teachers develop their teaching skills. Also, the study addresses recommendations to support educators' professional development. Finally, further recommendations and future directions provide thought-provoking ideas for using artificial intelligence-based virtual settings for teaching.

Artificial Intelligence in Education

2019 ◽  
pp. 224-236 ◽  
Author(s):  
Nil Goksel ◽  
Aras Bozkurt
Keyword(s):  
Artificial Intelligence ◽  
Learning Styles ◽  
Language Processing ◽  
Adaptive Learning ◽  
Future Perspectives ◽  
Tutoring Systems ◽  
Educational Processes ◽  
Key Concepts ◽  
Artificial Intelligence In Education ◽  
Educational Perspective

Though only a dream a while ago, artificial intelligence (AI) has become a reality, being now part of our routines and penetrating every aspect of our lives, including education. It is still a field in its infancy, but as time progresses, we will witness how AI evolves and explore its untapped potential. Against this background, this chapter examines current insights and future perspectives of AI in various contexts, such as natural language processing (NLP), machine learning, and deep learning. For this purpose, social network analysis (SNA) is used as a guide for the interpretation of the key concepts in AI research from an educational perspective. The research identified three broad themes: (1) adaptive learning, personalization and learning styles, (2) expert systems and intelligent tutoring systems, and (3) AI as a future component of educational processes.

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.

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 PRACTICE OF INFORMATION TECHNOLOGY IN TRANSLATION TEACHING AT CHINESE REGIONAL UNIVERSITIES IN THE ERA OF ARTIFICIAL INTELLIGENCE

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Ma Yan ◽  
Wang Feng
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Teaching And Learning ◽  
Language Teaching ◽  
Rapid Development ◽  
Artificial Intelligent ◽  
Regional Universities ◽  
Artificial Intelligence Technology ◽  
History Of ◽  
Reform And Innovation

<p>With its rapid development in recent years, artificial intelligence has been widely used in all aspects of our life, including language teaching and learning. After a review of the history of artificial intelligence technology and a discussion of the development of artificial intelligent translation at home and abroad, the article summarizes the characteristics of translation teaching at Chinese regional universities in the era of artificial intelligent and puts forward pedagogical suggestions for</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0695/a.php" alt="Hit counter" /></p><p>the reform and innovation in translation teaching.</p>

Leveraging VR/AR/MR and AI as Innovative Educational Practices for “iGeneration” Students

2021 ◽  
pp. 265-277
Author(s):  
Srikanth Vemula
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Teaching And Learning ◽  
Mixed Reality ◽  
Quality Of Education ◽  
Innovative Technologies ◽  
New Education ◽  
Innovative Techniques

The use of virtual reality (VR), augmented reality (AR), mixed reality (MR), immersive experiences, and artificial intelligence technologies are more focused on innovative education technologies. Studies show that the use of these innovative technologies helps to improve the quality of education. It is essential to promote these new innovative techniques, which show an immense prominence in the improvement of education technologies. So, this chapter shows how these innovative technologies combined with games are a more effective way of transforming our education from a good old traditional way of teaching and learning to a tech savvy way of teaching. Since the students are not the same, and there has been a lot of evolution over the years, it is important for everyone in the education sector to rethink the methods of teaching and learning and the use of incorporating new education technologies to enhance learning.

scholarly journals Distance Education Features using Facebook

2018 ◽  
Vol 12 (6) ◽  
pp. 19 ◽  
Author(s):  
Rozhgar Dhyab ◽  
Asaf Varol
Keyword(s):  
Social Media ◽  
Learning Environment ◽  
Mobile Devices ◽  
Teaching And Learning ◽  
Rapid Development ◽  
Virtual Classroom ◽  
Advantages And Disadvantages ◽  
Learning Platform ◽  
Teaching And Learning Environment ◽  
Practical Education

<p class="0abstract">Thanks to rapid development of information technology there are many new tools that can be used for teaching and learning environment. In the long past, we had met classical classrooms where teachers had to use chalk to write done everything on the blackboard. Later, we have met new tools such as projection, desktop computers, smart boards, etc. in the classical classrooms. Nowadays, we have met with mobile devices. Mobile devices are magic tools which can be used for teaching and learning as a distance. Because of its mobility we do not need to join a classical classroom to listen to courses offered by our teachers any more. Now, we can join in virtual classroom which can be established on cloud. On the other hand, there are many social media applications which can be also used for teaching and learning. For example, it is now possible to teach courses by online where Facebook can be used as a supplementary tool. There are instructors who use Facebook as a learning environment where instructors and learners interact simultaneity on it. The Facebook has made a significant contribution towards solving the problems faced by practical education students during the period of practical education. There is an increasing trend in the study community to use Facebook in order to solve these problems. The aim of this research is to encourage instructors and students to teach and learn by using Facebook as part of a new system of education, namely online distance learning. In this study we explain how mobile devices and social media have been used during teaching and learning of courses at master studies’ level at the Department of Software Engineering of College of Technology at Firat University in Turkey. We will explore the advantages and disadvantages of Facebook in terms of teaching and learning environment and we will suggest some recommendations for using Facebook as a teaching and learning platform which have been resulted from our research.      </p>

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