Top Research Papers on AI in Education

Congress may consider the benefits and risks of AI in classrooms, including the impact of AI on issues such as student data privacy, teacher preparation, and technology development and procurement.

Application of Artificial Intelligence in educational administration can lead to effective data analysis and decision making, effective school administrative, resource optimization, student support and intervention, streamlined communication and engagement and enhanced security and safety.

This report discusses artificial intelligence in education, including current applications, benefits and drawbacks, and policy considerations.

The overall level of awareness is fairly higher and good, which shows learners has a good awareness level about AI in the education field, and it is analyzed that the execution of AI technology in the Education field will positively impact the overall effect of AI technology.

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How AI can accelerate personalised learning, the support of students with special needs, and assessing new skillsets for increasingly automated economies and societies is highlighted.

There is a call for slowing down and recalibrating current discussions around AI and education – paying more attention to issues of power, resistance and the possibility of re-imagining education AI along more equitable and educationally beneficial lines.

With the continuous development of artificial intelligence (AI) technology, AI technology has been widely used in many industry fields, also in the field of education, while the application of AI in the field of education also faces many challenges. This paper gives the in-depth analysis of the impact of AI technology in the field of education in order to promote the in-depth application of it in the field of education.

The final outcome of this paper helps to understand the different places where AI can help in the education process, alternatives that the authors can use for integration of AI in current systems and challenges that they are facing today in terms of resources and infrastructure.

A deeper understanding of the role of this technology in vocational education is provided and a framework that can be used as a guide for the implementation of Artificial Intelligence is presented.

This conceptual article provides a comprehensive overview of the current status of Artificial Intelligence (AI) integration and its influence on adult education. It discusses generative AI technologies and their potential applications in adult education settings, examines the opportunities and ethical challenges associated with integrating AI, and provides insights into emerging trends. The article consists of five sections. The introduction provides a rationale as to why AI should be integrated into adult education. Second, it describes evolving AI technologies such as Large Language Models (...

The tremendous potential of the computer in education is discussed and standards for achieving high-quality educational software for all parts of the curriculum are offered.

It is recommended that the integration of AI in the classroom must be done with reference to several ethical concerns so as to prevent further negative ramifications of the technology.

The employment of artificial intelligence in the educational sector is discussed and how to develop an educational platform with AI capabilities is described, as well as its benefits and drawbacks.

This research advocates for an adaptive curriculum that equips students with AI-related skills, contributing valuable insights for educational stakeholders on effective AI integration into science curricula.

This chapter discusses four lenses that can be used to examine how and why AIEd systems risk amplifying existing inequities and outlines possible paths towards more equitable futures for AIEd, while highlighting debates surrounding each proposal.

The results indicate that student have a perception that AI can be effectively used in teaching learning process, academic administration processes, and should not be used in a few processes related to admission, examination and placements.

This workshop aims to guide participants in the process of gaining awareness of the potential, limitations and pitfalls of AI tools and critically assessing these tools within the framework of participants’ (domain-specific) practices for teaching, learning and assessment.

The present study explores the applicability of AI through research conducted with the participation of university students, in which the focus is on the role of AI in the development of business communication education, skills, and operational processes.

A simple active learning system is developed to illustrate AI, particularly, machine learning, and how it can contribute to future farmers' understanding of how AI works.

Congress may consider the benefits and risks of AI in classrooms, including the impact of AI on issues such as student data privacy, teacher preparation, and technology development and procurement.

In recent years, we have gradually adopted the applications of artificial intelligence in education (AIED) to improve our understanding of students’ learning and enhance their learning experiences. AIED can have a profound impact on the educational landscape, influencing the role of all involved in education. The adoption of AIED and its related large-scale data collection and analysis to do with learners seriously concern human-rights and related ethical and privacy aspects. This paper presents conceptual research establishing a data ethics framework for AIED by mapping and analyzing internat...

Objective: The purpose of this paper is to conduct a thorough review and investigation on the function and importance of AI in education. The development of technology in the sector, and the emergence of raising interest to apply this AI technologies with a view to enable disruptive efficiencies across all aspects of education. Methodology: The study uses a systematic review of literature for exploring the existing literatures and research findings about AI implementation in Education. For learning it tells you good & bad about AI of bunchy resources, And changes because of the whether educat...

Key advantages to creating personalised learning pathways such as access to training in 24/7 mode, training in virtual contexts, adaptation of educational content to personal needs of students, real-time and regular feedback, improvements in the educational process and mental stimulations are identified.

The potential for using images generated by artificial intelligence for educational purposes is high due to the fact that almost all images generated by artificial intelligence give results in accordance with the text, and almost all of them are quite good.

This research delves deeply into the key facets of AGI, including cognitive frameworks, advanced knowledge representation, adaptive learning mechanisms, strategic planning, sophisticated language processing, and the integration of diverse multimodal data sources.

The best option is to attempt what virtue ethics requires, even though no system of training can guarantee the production of virtuous agents, and argues for an Aristotelian virtue ethics approach to artificial intelligence ethics.

New insights are provided into the application of AI in the academic environment and recommendations for higher education institutions that want to integrate AI technology are offered.

The paper discussed the sub-field of Artificial Intelligence applications and these were: Machine learning; Speech recognition; Expert system; Natural language processing; Robotics; Vision and planning; and highlighted the broad classifications of Artificial Intelligence for Educational Adoption.

A framework for assessing the use and ethics of AI in modern education contexts regarding human versus AI generated textual and multimodal content, and the broader political, social, and cultural implications is proposed.

The results show that the previous studies only vaguely distinguish between them: the terms are often used synonymously, and the European market currently has hardly any real applications for Artificial Intelligence in education.

The goal of the planned study is to look at the impact of Russia's invasion of Ukraine on Indian stock index returns before and during the invasion.

How Artificial Intelligence can and is being used in the educational sector & current Role of AI in Indian Education Sector are explained.

The analysis shows that AI’s role in education is to increase intelligence and assist in carrying out effective and efficient learning activities and the importance of the teacher's role must be maintained so that humanist values and affection in an educational process can endure.

A horizon scan of the key themes that have emerged over the past few years during the AIEd debate is offered, including geopolitical dominance through education and technological innovation, and creation and expansion of market niches.

This research highlights the significance of identifying the primary factors that contribute to the successful integration of artificial intelligence in the field of education, using DEMATEL analysis to examine the causal connections behind the adoption of AI in education.

Generative artificial intelligence (AI) technologies are becoming integral to academic and professional landscapes, with universities rapidly developing policies that govern ethical and effective usage. Yet such efforts are fragmented across institutions, from outright blanket bans to bespoke frameworks supporting AI application. Seeking to offer evidence of this fragmented approach, this study conducts a systematic content analysis of AI policies of UK Russell Group universities, with specific focus on learning and teaching. The analysis reveals differences in policy comprehensiveness, enforc...

The results provide insights into an overview of the AI used for education domain, which helps to strengthen the theoretical foundation of AI in education and provides a promising channel for educators and AI engineers to carry out further collaborative research.

The use of AI in medical education has the potential to improve patient outcomes by equipping healthcare professionals with better skills and knowledge and highlights the need for further research to explore the effectiveness of AI applications in different aspects of medical education.

The research results show that publications on Artificial Intelligence research applied to high school students are at the Q1 rank, namely 25 journals and new themes in this field are machine learning and deep learning.

This work analyses the use of artificial intelligence in education from an interdisciplinary point of view and formulate questions and suggestions for further research, to bridge conceptual gaps underlined by lack of research.

The technology of AI has been advanced and sophisticated that can recognize the gesture of students and understand their mood and ease during the lecture even it can read facial expressions and posture of the students to understand difficulties and problems they are facing in the lecture and recommends altering the lesson.

Key findings reveal AI's potential to offer personalized educational materials, virtual consultations, language translation tools, and virtual reality simulations, improving patient understanding and experience, and future implications suggest AI's ability to track patient progress, analyze feedback, streamline administrative processes, and provide ongoing support, enhancing oral health outcomes.

These findings form the bedrock for an upcoming, more granular exploration, utilizing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, to discern the intricate causal pathways in the narrative of AI's integration in higher education.

The analysed literature indicates that midwifery curricula should integrate AI at different levels for graduates to be prepared for their future in healthcare.

It is crucial to carefully weigh the benefits and challenges of incorporating AI tools into the education system and it is important to note that AI should be used as a tool to enhance education and support teachers, rather than replacing human educators.

This text presents the proceedings from the 10th International Conference on Artificial Intelligence in Education, one from a series of conferences designed to report on the state of research in the field of intelligent system theory and technology for educational application.

The study aims to present an outlook about the impact of Artificial Intelligence (AI) into academia research, using an interdisciplinary approach based on prior trustworthy research-works results to address the research hypotheses and answer their respective questions.

This work builds on existing research, aiming to articulate a conceptual understanding of AI as a strategic tool for learning, emphasizing the pivotal role of intelligent agents and conversational bots in digital learning.

The findings suggest that, overall, teachers possess a positive outlook on the use of AI in education, although some negative perspectives also emerged.