Use Of Artificial Intelligence In Education Research Articles

Problem Penggunaan AI (Artificial Intelligence) dalam Bidang Pendidikan

Artificial intelligence (AI) has become an increasingly important research subject in various fields, including education. In the educational context, the use of AI promises a fundamental transformation in the way we teach and learn. However, despite AI's enormous potential to improve the efficiency and effectiveness of education, there are a number of challenges that need to be overcome. The purpose of this research is to provide readers with the view that apart from the many positive sides of AI, there are also negative sides. This research focuses on the negative side of using AI in the education sector. The method used is library research. However, if managed wisely, the use of AI in education can provide significant benefits. For example, AI can be used to personalize learning, enabling teaching tailored to each student's individual needs. Additionally, AI can help in automated grading, freeing up teachers' time to focus on direct interactions with students. By considering existing challenges and exploiting the opportunities offered by AI, education can make significant progress in improving its quality and accessibility. Therefore, further research and development is needed to overcome technical and ethical obstacles to the application of AI in education, while ensuring that its benefits are widespread and non-discriminatory.

The Prospects of Generative AI in Higher Education

Artificial intelligence (AI) has brought tremendous prospects and breakthroughs to a number of areas, including education. With an emphasis on the use of chatbots, analytics, generative AI, and personalized learning experiences, this research study offers a thorough analysis of the effects of AI on education. In order to shed light on the ethical implications, cultural considerations, language competence issues, and privacy concerns related to the use of AI in education, it explores the related limitations, obstacles, and concerns. Artificial Intelligence (AI) has the potential to completely transform higher education by promoting efficiency, creativity, customization, and engagement. Higher education could undergo a significant transition with the use of Generative Artificial Intelligence (GAI) tools as ChatGPT, Google BARD, and Bing Chat. But this integration also presents problems for avoiding plagiarism and upholding academic integrity. Within this In this work, we explore and evaluate useful strategies for effectively utilizing GAI's potential while also guaranteeing assignment integrity. We present the PAIGE (Promoting Assignment Integrity using Generative AI in Education) conceptual framework as a viable means of addressing these issues. This concept places a focus on the moral. The inclusion of GAI, encourages student engagement, and fosters chances for collaborative learning. Institutions of higher learning can efficiently use the promise of GAI while maintaining assignment integrity by utilizing the PAIGE framework. A responsible and prosperous future in education powered by generative AI is made possible by this strategy. The research report also explores the roles that parents, legislators, and educators play in minimizing the risks and optimizing the advantages of implementing AI in the classroom. Challenges with linguistic ability, privacy, and other factors related to using AI in education. Key Words: Generative AI, analytics, learning experiences, cognitive achievement, AI in the classroom, customized feedback

Educational Practices and the Use of Artificial Intelligence: A Multifaceted Analysis in the Current Context

Objetive: The research aims to examine current educational practices related to the understanding and utilization of artificial intelligence (AI) in the educational field. Theoretical framework: The research collects information related to the conceptual framework, detailing concepts involving the research variables; likewise, a compilation of background research from similar studies in the years 2022 and 2023 is conducted. Method: The research employs a mixed methodology, incorporating qualitative and quantitative data collection methods. A comprehensive review of academic literature and official documents is conducted to identify prevalent educational practices in the field of AI. Additionally, surveys and interviews are designed targeting teachers, students, and AI experts to gather detailed information about their experiences, knowledge, and perceptions regarding AI in education. Results and conclusion: The results of the study reveal a diverse range of educational practices related to AI. These practices include the use of AI tools for personalized learning and the integration of AI concepts into the school curriculum. Common challenges such as the lack of resources and adequate training for teachers, as well as ethical and privacy concerns surrounding AI use in the classroom, are identified. Research implications: The findings of this research have significant implications for educational practices related to AI. They underscore the need for enhanced teacher training, the development of ethical guidelines, and the promotion of digital literacy in educational settings. Additionally, the study highlights the importance of addressing challenges such as resource constraints and privacy concerns to facilitate the effective integration of AI into education. Originality/Value: This research contributes to the existing literature by providing insights into current educational practices regarding AI. By employing a mixed methodology approach, the study offers a comprehensive understanding of the subject, identifying common practices and challenges. Moreover, the research suggests practical recommendations for promoting the responsible use of AI in education and calls for further exploration of innovative approaches in this field.

The Impact of Artificial Intelligence on Education

Artificial Intelligence (AI) is an increasingly progressive field that aims to develop computer systems capable of producing inventive and creative content, including text, images, music, video, and audio, that closely resemble human-generated material. AI has significantly impacted education, with both positive and negative implications. While it has gained widespread popularity, it has also raised concerns about bias, misinformation, misuse, and risk, emphasising the need for the responsible implementation and development of generative AI in education. There have been discussions about whether it should be prohibited or whether teachers and students should receive adequate training to use it effectively and ethically. The purpose of AI in education should be to embrace the opportunities it presents while maintaining high academic standards. Renowned universities have developed guidelines and manuals for the responsible use of generative AI tools. This study examines the impact of generative AI on education, analysing its advantages and disadvantages in schools, its outcomes, and how teachers and students can use it for educational purposes. The study also emphasizes the effective use of AI in education, employing qualitative and quantitative methods to evaluate its usage. The results highlight the benefits and drawbacks of generative AI in education, concluding with recommendations and future applications of generative AI in education.

Empowering Distance Education with Artificial Intelligence

This article investigated the integration of Artificial Intelligence (AI) in the context of Distance Education (DE), with the aim of exploring its advantages, disadvantages, and the challenges faced by teachers and students. The research focused on how AI can be employed to promote meaningful learning, using a bibliographic research methodology, as proposed by Severino (2007). This approach involved the critical analysis of existing literature, including relevant case studies and theories pertinent to the use of AI in education. The main authors cited were Castro (2002) and Tavares, Meira, and Amaral (2020), whose works provided insights on the application of Intelligent Tutoring Systems (ITS) and other AI technologies in education. The literature review highlighted the potential of AI to personalize the learning experience and the associated challenges, such as the need for adequate infrastructure, digital skills, and ethical considerations. A case study from Georgia State University illustrated a successful practical application of AI to prevent student dropout, offering a model for future implementations in DE. The analysis showed that, despite obstacles, the integration of AI in DE has the potential to positively transform education, offering opportunities for more adaptive and personalized learning. In conclusion, the article emphasized the importance of addressing technical, ethical, and pedagogical challenges in adopting AI in education, highlighting the need for careful strategies that ensure the effectiveness and inclusivity of technological interventions in DE.

UTILIZING ARTIFICIAL INTELLIGENCE IN EDUCATION TO ENHANCE TEACHING EFFECTIVENESS

Artificial Intelligence in Education (AIEd) has been evolving for some time, and the advent of GPT chat at the end of December 2022 has opened up new opportunities, potentials, and challenges in educational practice. Advances in computational technology and information processing have led to widespread applications of Artificial Intelligence (AI) in the field of education. Over the last 20 years, the number of papers on AIED has been steadily increasing, with a dramatic rise since 2015 until the present. In its brief history, AIEd has undergone several paradigm shifts. This research aims to explore the use of AI in education by examining the publication trends sourced from metadata from Google Scholar, PubMed, CrossRef, OpenAlex, and Scopus. The development and application of Artificial Intelligence (AI) technology, particularly in education, significantly supports educational reform and profoundly influences the learning styles of learners. Artificial Intelligence in Education (AIED) can assist teachers in preparing teaching materials, presentation media, and accurate evaluations. Furthermore, AIED can help students adapt their traditional learning styles according to their differences, thus realizing intelligent teaching that meets students' learning needs. Teachers' positive perceptions of educational technology (ET) are beneficial for using AI technology to aid teaching positively, which in turn can enhance teaching effectiveness. Overall, the trend of AIEd development has successfully empowered learner personalization, enabling learners to think critically and innovatively, and fostering personalized learning.

Artificial Intelligence: Its Role and Potential in Education

Artificial intelligence (AI), which has attracted great attention in recent years, has been widely used in the field of education as in many other fields. AI in education is used to improve student learning, support teachers and provide a more personalized educational experience. AI plays an important role with adaptive learning systems in improving students' learning processes. These systems assess students' individual needs and provide them with appropriate learning materials. AI also monitors students' performance, identifies their weaknesses, and provides additional support in these areas. Thus, students are enabled to learn more effectively and to reveal their full potential. By supporting teachers, AI facilitates classroom management and helps teachers use their time more efficiently. Automated assessment systems allow teachers to quickly assess assignments and exams, while improving the process of providing feedback. In addition, AI also helps teachers understand students' interests and learning styles, so that more personalized instruction can be offered. Another important use of AI in education is student counseling. AI-based counseling systems can guide students in matters such as career choices, university applications, and academic planning. These systems can provide students with viable career options, support the application process, and help them identify their future goals. As a result, the use of AI in education has great potential to improve student learning processes, provide support to teachers and provide a more personalized educational experience. In this study; The subject of AI was examined in a general framework under the title of education and the role of AI in education was discussed. It is thought that AI will contribute to the field by revealing the teacher and how it can be used in the field of education.

1. THE MOST POPULAR ARTIFICIAL INTELLIGENCE APPLICATION USED BY AEROSPACE ENGINEERING STUDENTS’ TO LEARN MATHEMATICS

Artificial intelligence (AI) develops over time. Education is concurrently the AI evolution,sometimes in front, sometimes behind. Education underlies AI, and later on, AI is used in education. Therefore, the utilization of AI in education cannot be denied. There are many advantages, but also some limitations and ethical issues that arise from the use of AI in education. There are many applications of AI in mathematics scattered throughout society, but not all of them are useful enough. Thus, the purpose of this research is to gain the famous application AI in mathematics (app AI math) that is mostly used and recommended by the students’ experience in doing and learning mathematics. T-test independent samples were used to test the score of two groups, using the AI math app or not, in order to know whether it was affected or not. The result of this research is that the most popular app is Photomath, followed by ChatGPT and Mathway. But still, many students did not use this app. Relating to their score, the students who have used the AI math app to learn math before are not different from the students who do not use the AI math app.

Education in the Age of Artificial Intelligence

The age of artificial intelligence (AI) is just around the corner. This article presents the AI-based technologies that represent a significant change for the learning and teaching process. The article describes the potential of personalised learning, automated assessment, chatbots, predictive models, intelligent robots, and virtual and augmented reality for education, by reviewing scientific literature. Nowadays, knowledge of these technologies is essential for teachers. In this article we conducted a qualitative survey involving teachers. The aim of our survey is to assess the perceptions of educators about the use of AI in education. Our results show that educators are open to these technologies regardless of generation and discipline. The study summarizes the appropriate use of these technologies, the role of teachers, their attention to students and their active communication, as only this can lead to effective education in the age of artificial intelligence.

Dimensions of Legal And Moral Use of Artificial Intelligence In Education

The purpose of the research is to critically analyze the legal aspects of the use of artificial intelligence (AI) in the field of education, as well as to study the role of chatbots and the Chat GPT model, plagiarism issues, educational modeling and the impact of AI on the labor market. To achieve this goal, various research methods are used, including the analysis of current legal norms and international legislation that relate to the use of AI in education. The study also includes an analysis of intellectual property issues, data privacy, ethical standards and liability.
 The results of the study highlight the problem of plagiarism in chat rooms and emphasize the importance of careful use of information to ensure academic integrity. Despite the possible misuse of AI by students, such as chatbots and GPT models, for plagiarism, these technologies can also facilitate plagiarism detection. The research also examines the use of machine learning and data analytics to create personalized learning experiences, improve learning effectiveness, and retain knowledge.
 The overall conclusion is that the integration of artificial intelligence in education has the potential to improve the quality and accessibility of education, but this requires a sound legal framework. The article also evaluates the effectiveness of various AI tools, including chatbots that provide information on demand and Chat GPT, useful for processing textual materials. The paper also examines the role of learning simulation in personalizing education, using AI to analyze performance data, and tailoring individual learning pathways.

Ukrainian education for peace and security 2023: Technological convergence, artificial intelligence

The article highlights the impact of the integration of artificial intelligence (AI) into the educational environment, focusing on the possibilities of technological convergence. Based on the recognition of the changing world and the need to adapt educational approaches to the challenges of today, the study offers a deeper understanding of the role of innovative technologies. The study reveals the potential of AI to create personalised, adaptive learning paths for students of different educational and qualification levels. The use of AI algorithms to customise the learning process to individual needs promotes critical thinking and collaboration, which are important for building a safe social environment. The study highlights the possibility of using AI to reduce social inequality in areas affected by military aggression. The introduction of AI in the educational process can ensure equal access to quality education for all regions. The authors of the article emphasise the need for a multidisciplinary approach to the use of AI in education, where the interaction of educators and civil society is crucial for the implementation of technologies with ethics and efficiency. An innovative approach to education supported by AI can foster cooperation, understanding, and cohesion, contributing to a stable and harmonious society.

Features, Components and Processes of Developing Policy for Artificial Intelligence in Education (AIED): Toward a Sustainable AIED Development and Adoption

ABSTRACT Governments and private sectors are now putting in place the needed resources and infrastructure to harness the power of emerging technologies in education. One of these technologies is Artificial Intelligence (AI) which gained increasing attention due to its potential to enhance learning and teaching experiences, hence achieving better learning outcomes. However, AIED also comes with several concerns that raise continuous questions about its safe and effective adoption. The application of AIED needs to be planned and executed properly. One of the basic requirements for this to happen is that a comprehensive national policy on the use of AIED is put in place to guide its implementation and evaluate its effectiveness. Limited information exists in the literature on how to write an AIED policy. To address this research gap, this study therefore discusses the features, major components and processes that countries are advised to adopt for a comprehensive AIED policy development. Specifically, this study highlights four features for a good AIED policy, namely contextual, consultative, dynamic, and, implementable and measurable. It further proposes seven steps for an AIED policy development, namely (1) pre-drafting consultation, (2) stakeholder survey, (3) writing draft policy, (4) discussion on draft policy, (5) adoption and communication of policy document, (6) policy implementation plan, and (7) policy evaluation.

ARTIFICIAL INTELLIGENCE IN EDUCATION: NAVIGATING THE NEXUS OF INNOVATION AND ETHICS FOR FUTURE LEARNING LANDSCAPES

Artificial intelligence (AI) holds the potential to revolutionize teaching and learning methodologies, tackle some of the largest issues facing education today, and hasten the achievement of SDG 4. The revolutionary effects of artificial intelligence (AI) on education are explored in depth in this study paper. Researcher examined the possible advantages, challenges, and ethical issues related to this changing paradigm by examining the incorporation of AI technology in several educational environments. In the present study, researchers have discussed the use of AI in education, focusing on its benefits like personalized learning, data-driven insights, and accessibility. It also discussed the drawbacks, such as data privacy, biases, and ethical issues. This study has also emphasized the importance of accountability, transparency, and justice in AI algorithms. It also discusses future developments in AI-driven education, such as adaptive learning, augmented reality, and the potential of AI to address global education issues. The focus is on promoting a balanced viewpoint and addressing ethical concerns in AI-driven education. The integration of Artificial Intelligence (AI) in education is a transformative process, offering a wide range of applications from predictive analytics to personalized learning platforms. However, ethical issues like privacy, bias, and transparency must be addressed to ensure responsible AI adoption in the future.

Evolution to revolution: Critical exploration of educators’ perceptions of the impact of Artificial Intelligence (AI) on the teaching and learning process in the GCC region

The transformational nature of the 21st century in all aspects of life has brought unprecedented changes to the teaching and learning process highlighting the paradigm shift and redefining the purpose and delivery of education. Ubiquitous and innovative Artificial Intelligence (AI) tools, being one of the defining (r) evolutions of our modern era accelerated by the recent introduction of free, accessible, and highly upgraded language models, have stirred a debate on the broader implications of AI on education, teaching, learning and assessment. On one hand, the integration of AI in education, particularly, in classroom practices has been seen as a potential solution to pressing challenges and barriers in dismantling industry model of education which is considered to be outdated and misaligned with the 21st century demands. Notwithstanding, the flip side of the coin presents a different picture as to whether AI is a potential threat, rather than a solution, to acquisition of knowledge, academic honesty and integrity, critical thinking skills and teacher-student relationships. Against the backdrop of such critical debate, it is crucially significant to establish a common understanding of the concept and implications of AI through the lens of stakeholder perceptions and expectations. Thus, this study explored the views and perceptions of 11 educators across the GCC on the impact of AI on teaching and learning process focusing on whether AI should be seen as evolution or a revolution in the field of education. The participants were selected based on the set of diverse criteria, like the curriculum setting they teach/manage in, their current position and the country they are based in. The findings revealed that in general, educators are quite optimistic about and open to the use of AI in education, its potential benefits and opportunities to improve teaching and learning, however, they cited lack of understanding and training in using AI tools in classroom instruction, assessment etc. as one of the most important barriers to its use. They also cited socio-cultural reservations, systematic resistance to change, lack of structured policies and available resources as factors inhibiting its use in education in the GCC region. The study concluded that there is a need for structured policy frameworks and guidelines on the use of AI in education in the context of GCC for better integration and migitation of its risks.

Examining teachers' views on the use of Artificial Intelligence (AI) in education

This study is designed with the aim of evaluating Artificial Intelligence (AI) applications in the education sector and conducting an in-depth examination of teachers' perspectives on this matter. It particularly focuses on understanding the role of AI in education and emphasizing its potential contributions. To achieve this goal, it is essential to unveil teachers' perceptions of AI and systematically assess their views regarding the advantages, disadvantages, opportunities, and risks of this technology in education. The research employs a qualitative method utilizing a phenomenological design. Semi-structured interview forms were used for data collection, with Maxqda being the primary tool for data analysis. The study's sample consists of sixty teachers from a private school in Gaziantep, Turkey. Thirty-seven of these teachers volunteered to participate, while the remaining twenty-three cited their lack of knowledge in AI as a reason for not taking part. The findings suggest that, overall, teachers possess a positive outlook on the use of AI in education, although some negative perspectives also emerged. This research serves as a valuable resource for gaining a better understanding of AI's potential in education and providing a more detailed evaluation of teachers' perspectives on this technology.

Artificial Intelligence in Higher Education: Development Trends and New Reality

The article reveals various aspects of the use of artificial intelligence (AI) in higher education. Prospects for the use of AI in higher education are discussed, and specific examples of the use of AI for educational purposes are considered. AI, having great potential for improving the quality of higher education, also carries potential risks of use that must be taken into account. The role of artificial intelligence in the educational process of higher education, evaluation and management of educational processes is emphasized. That is why attention is focused on the issue of what aspects are behind the use of AI in education. The issue of ethical and social consequences of the use of AI in education is discussed.

Empowering AI: Recontextualizing Our Pedagogical Impact Through Supportive Uses of Machine Learning

Over time, the use of digital technologies has transformed the landscape of higher education, and the recent advancements in artificial intelligence (AI) are no exception. At the same time, there is a need to move from a binary of use versus eradication of AI systems in higher education toward critical examination and curation of the plurality of examples of how AI may lead to the empowerment of educators and students. This paper explores the potential benefits and challenges of incorporating AI into higher education while also discussing the implications for educators and students, as well as the ethical concerns surrounding the use of AI in education. The paper examines the benefits of using AI in higher education, including personalized learning, adaptive assessments, and predictive analytics, as well as emerging challenges, such as data privacy and algorithmic bias. The paper proposes a set of guiding ethical principles for the empowering use of AI in education, including transparency, collaboration, creativity, and accountability. Each author offers a call to action for educators who are required to reevaluate their relationship with technology broadly and the seismic shifts in interaction and communicative modes within a landscape forever changed by machine learning.

The Use of Artificial Intelligence in Educational Institutions: Social Consequences of Artificial Intelligence in Education

Artificial Intelligence (AI) technology was created to solve problems that are complex to be solved by humans, related to the construction of machines that understand, monitor, reason, predict, interact, learn, develop and work like humans. Thanks to the development AI has achieved in recent years, AI has surpassed its limits in the field of computer engineering and has begun to be effective in almost every field. AI has started to contribute to the management of information in education and directly to the education and training process, with its features such as learning, making predictions, solving complex problems, having experience and adapting to changing conditions. Systems inspired by AI have become very popular and have been applied in almost every field, especially in educational institutions. The biggest impact of this technology on education has been in the delivery of education. Technological developments are starting to change many sectors and the education sector is also keeping up with this change. AI is not just made to support learning. AI is used in all educational institutions (teacher duties, administrative works, teaching, school and classroom management). Research needs to be increased, especially in terms of the social impact that AI will have on people regarding the use of AI in education. Qualitative method was used in this study. The purpose of the article is to investigate the effect of AI on traditional education, to examine the point the traditional education has reached with AI and to analize the social consequences of AI in education.

Pedagogical and Ethical Implications of Artificial Intelligence in EFL Context: A Review Study

In the contemporary world, technology is advancing and being integrated in various sectors, impacting human lives in many ways. When the conversation on technological advancements emerges, one of the most prevalent topics is artificial intelligence (AI). AI has gradually developed into an integral part of human lives, with its application being common in finance, healthcare, security, and education. In education, AI can be integrated into English as a Foreign Language (EFL), leading to the introduction of a dynamic realm with profound ethical and pedagogical dimensions. The current study focuses on the interaction between EFL education and AI technologies by analyzing the obstacles and opportunities that might emerge. Pedagogically, AI has multiple advantages to any EFL education setting, which include targeted feedback, automated grading, and personalization of learning experiences, especially for learners with disabilities. However, the use of AI leads to some concerns, including the exclusion of the chance for learning to engage in creative and critical thinking. It is also associated with the possible dehumanization of the learning process and biases that might result from the use of AI software. Also, using AI in an EFL setting raises various ethical concerns, including personal data privacy, academic dishonesty, and a decline in job security for teachers. When teachers do not feel that their jobs are safe, their motivation is likely to decline. Also, using AI in an EFL setting raises concerns such as the loss of cultural nuances and an unhealthy reliance on technology. Thus, there needs to be a balance whenever AI is used in an EFL education setting for the sake of protecting educational objectives and adhering to the ethical standards expected of such settings. This paper highlights the use and impact of AI on EFL pedagogically and the risks and ethical concerns associated with such adoptions. The study is based on the understanding that the multiple benefits associated with the use of AI in education come with challenges that necessitate a balanced approach to implementation.

Ethics of Artificial Intelligence in Education: Student Privacy and Data Protection

Rapid advances in artificial intelligence (AI) technology are profoundly altering human societies and lifestyles. Individuals face a variety of information security threats while enjoying the conveniences and customized services made possible by AI. The widespread use of AI in education has prompted widespread public concern regarding AI ethics in this field. The protection of pupil data privacy is an urgent matter that must be addressed. On the basis of a review of extant interpretations of AI ethics and student data privacy, this article examines the ethical risks posed by AI technology to student personal information and provides recommendations for addressing concerns regarding student data security.