Top Research Papers on AI in Education

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 in-depth analysis of the impact of AI technology in the field of education is given in order to promote the in-depth application of it in the field of education.

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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.

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.

Deep insights are provided into the role of AI in education and the implementation of strict privacy policies, improved technology access, teacher training, and periodic evaluation are recommended to effectively and ethically maximize the benefits of AI.

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.

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 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 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.

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...

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.

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.

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.

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 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.

It was found that the AI chatbot platform can be used as a tool for educational recommendations in higher education and is also able to analyze users’ questions accurately and precisely in order to provide answers that meet the users’ needs.

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 findings indicate that AI's introduction in education will bring innovative tools and advantages for schools and teachers, while also presenting certain challenges.

The challenges and problems faced by current AI technology in medical teaching are summarized, the future development trends are looked forward to, and the significant advantages of AI technology in improving the quality and effectiveness of medical education are revealed.

The author reviews the historical context of using AI in education, its current status, goals and tasks. He provides the examples of models and programs now utilized in education with the focus on challenges and problems.

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.

AI has the potential to revolutionize education by personalizing learning experiences and making them more efficient, and can create a more inclusive and accessible learning environment for students, empowering them to thrive in the digital age.

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.

The study concludes that more studies will be required in other to get the most out of the integration of artificial intelligence and digitalisation in tourism education.

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

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

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.

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.

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.

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.

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.

It was concluded that AI use in educational assessment is in itself not harmful but the potential risks involved must be mitigated as it is deployed for use for students’ assessment at universities in Nigeria.

How AI tools have augmented teaching and learning in CS50, specifically in explaining code snippets, improving code style, and accurately responding to curricular and administrative queries on the course's discussion forum is detailed.

By combining AI with green education, this book can create a comprehensive approach to sustainable development that is both efficient and financially viable and helps us to better measure the impact of the authors' sustainable development initiatives.

This issue of XRDS explores the budding topic of AI in education, diving into examples of applications as well as key opportunities and challenges surrounding the use of AI for teaching and learning.