Use Of Artificial Intelligence In Education Research Articles

Dampak Kecerdasan Buatan (AI) terhadap Pola Pikir Cerdas Mahasiswa di Pontianak

This research examines the impact of artificial intelligence (AI) on the growth mindset of students in Pontianak. AI has become a revolutionary technology applied in education, such as adaptive learning systems, virtual assistants, and automated assessment tools that provide real-time feedback. The use of AI has the potential to enhance critical and analytical thinking skills, as well as encourage students to develop a more open and adaptive mindset. However, this research also found that excessive reliance on AI can hinder the development of deep thinking and creativity among students, with a tendency to seek quick solutions instead of engaging in exploratory thinking. Through a mixed-methods approach that combines quantitative and qualitative methods, this research identifies the positive and negative impacts of AI on students' mindsets. Quantitative analysis shows that the use of AI enhances thinking flexibility, while qualitative interviews indicate a potential decrease in motivation for independent thinking due to technology dependence. This research offers strategic recommendations for the wise use of AI in education, in order to maximize its benefits without diminishing students' cognitive abilities.

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

Innovative Application and Societal Impact of AI in Student Behavior Early Warning Systems within Smart Campuses

This study explores the innovative application and societal impact of artificial intelligence (AI) in student behavior early warning systems (EWS) within smart campuses. As information technology advances, smart campuses have become integral to modern education, and AI introduces new possibilities for EWS. Through literature review and theoretical analysis, this paper systematically reviews related studies, examining the current applications and potential societal impacts of AI in EWS. The study first defines the basic concepts of smart campuses and AI, followed by an analysis of AI's specific applications in EWS, including behavior data collection, analysis, and anomaly detection. A comprehensive review of existing research reveals that AI enhances the accuracy and timeliness of warnings and provides scientific decision support for educational administrators. However, AI's application also raises data privacy and ethical concerns, necessitating the development of relevant laws and ethical standards. The paper proposes future research directions, including optimizing AI algorithms, fostering interdisciplinary collaboration, and exploring AI applications in various educational settings. This study aims to provide theoretical support for smart campus development, promote the widespread use of AI in education, and enhance educational equity and quality.

Ethics in Times of Advanced AI: Investigating Students’ Attitudes Towards ChatGPT and Academic Integrity

The rise of Artificial Intelligence (AI) has permanently changed life as we know it. And education has been no exception. Understanding the issues and benefits that may come with the implementation of AI into higher education, in particular, this study examines the impact of advanced AI models, like ChatGPT, on academic integrity. By employing a mixed-methods approach, the study gathers insights from undergraduate students at the University "St. Kliment Ohridski" in Bitola, North Macedonia, exploring their views on AI's role in academic practices. By identifying the key points through a brief literature review, this study finds that the concerns about the use of AI in education are indeed founded – concerns including potential for cheating and the ethical dilemmas posed by such technologies. Some of these concerns were also confirmed by the data obtained through our survey. A sample of 114 undergraduate students kindly provided their responses for this study, helping further our insights with their perspective. The findings from the survey revealed that students are moderately comfortable with using AI for academic purposes, with a notable portion of them admitting to using ChatGPT without disclosure to professors. The reasons behind the undisclosed use of AI, according to the data collected, include pressures for high grades, time constraints and the accepted belief that cheating is “what everyone is doing”. Despite its limitations, such as reliance on self-reported data and its focus on a specific geographic and academic context, we believe that the study still manages to make a small, yet significant contribution to the ethical challenges posed by AI in education.

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.

Peran Media Pembelajaran Dalam Pendidikan Berdasarkan Kajian Sutta Pitaka

This article discusses the role of media in conveying information and learning in the context of technological developments, especially artificial intelligence (AI), as well as implementing it towards understanding spiritual teachings from religious literature, especially the Sutta Pitaka. The research uses qualitative and hermeneutic methods to analyze the concept of learning media in the Suttapiṭaka and its application in Buddha's life. In his Sutta studies, the Buddha used various imagery and visual devices to teach the Dhamma, making understanding easier for students. Learning media, such as in the story of Bhikkhu Culapanthaka, have an important role in facilitating understanding of complex concepts. However, the development of AI raises pros and cons regarding its use in education, with some concerns regarding dependency and lack of discipline. Nevertheless, the great potential of AI in the world of education must be developed wisely by educators. The importance of using appropriate learning media in the educational context is emphasized, along with the emphasis on active, innovative and creative learning paradigms. In conclusion, learning media plays an integral role in learning, while the use of AI in education has great opportunities but must be implemented with careful consideration by educators.

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.

The impact of pedagogical beliefs on the adoption of generative AI in higher education: predictive model from UTAUT2.

Artificial Intelligence in Education (AIEd) offers advanced tools that can personalize learning experiences and enhance teachers' research capabilities. This paper explores the beliefs of 425 university teachers regarding the integration of generative AI in educational settings, utilizing the UTAUT2 model to predict their acceptance and usage patterns through the Partial Least Squares (PLS) method. The findings indicate that performance expectations, effort expectancy, social influence, facilitating conditions, and hedonic motivation all positively impact the intention and behavior related to the use of AIEd. Notably, the study reveals that teachers with constructivist pedagogical beliefs are more inclined to adopt AIEd, underscoring the significance of considering teachers' attitudes and motivations for the effective integration of technology in education. This research provides valuable insights into the factors influencing teachers' decisions to embrace AIEd, thereby contributing to a deeper understanding of technology integration in educational contexts. Moreover, the study's results emphasize the critical role of teachers' pedagogical orientations in their acceptance and utilization of AI technologies. Constructivist educators, who emphasize student-centered learning and active engagement, are shown to be more receptive to incorporating AIEd tools compared to their transmissive counterparts, who focus on direct instruction and information dissemination. This distinction highlights the need for tailored professional development programs that address the specific beliefs and needs of different teaching philosophies. Furthermore, the study's comprehensive approach, considering various dimensions of the UTAUT2 model, offers a robust framework for analyzing technology acceptance in education.

USING AI TO DESIGN PICTURE TO SUPPORT TEACHING NATURE AND SOCIAL SUBJECT IN ELEMENTARY SCHOOL

This article focuses on researching the use of artificial intelligence (AI) to convert text into pictures to support the teaching of Nature and Social subject in elementary school. Qualitative research method is applied to analyze previous research documents, in order to identify research issues that have been explored by scientists about the use of AI in education and the potentials that AI brought about in the current era of digital transformation. Based on those results, the article proposes a process of using AI to convert text into pictures to support the teaching process. This process includes the following steps: i) Research the lesson's requirements; ii) Detailed descriptions of objects in paintings and photographs (including color, shape, size, etc.); iii) Use AI to create descriptive statements for paintings and photos; iv) Select AI tool to convert language into images; v) Adjust pictures and photos (if necessary). The results of this study will provide useful reference materials for elementary school teachers during the teaching process and at the same time open up potential research directions for future scientists.