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Showing 3 results for Artificial Intelligence
Ms. Maryam Abolghasemi, Dr. Fatemeh Fahimnia,
Volume 8, Issue 4 (2-2022)
Volume 8, Issue 4 (2-2022)
Abstract
Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to explain how machine learning can be combined with the active citizenship concept. In addition, it discusses the necessary conditions for advancing the citizen science and beyond.
Method: The review method and comprehensive systematic study was applied to assess the concept of machine learning, citizen science and human-computer interaction.
Results: Many research problems seem to be computationally insolvable and may demand human cognitive skills. Therefore, due to classification activities which are performed in the majority of large-scale citizenship science projects, in addition to participants who may learn lessons about the science, machines also learn lessons about human and imitate him and slowly its learning capacity enhances over time. Artificial intelligence, particularly machine learning is a debatable topic with related ambiguities and biases which should strongly take into consideration.
Conclusion: The application of machine learning techniques carries many advantages including classification time cut and masterful evaluations in the process of making decisions on big data sets. However, algorithms usually act as a black box where data biases are not observable at first glance. Taking this problem into consideration may mitigate serious risks arising from the application of such techniques.
Mohammad Hassan Azimi, Hadi Alhaei,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
The development of information and communication technology has a profound impact on various systems of societies, and these effects become more obvious over time. These fundamental developments have caused wide changes in various fields and organizations. The emergence of new opportunities in international competitions, the influence of new technologies in all aspects of human life, globalization and the increasing importance of human capitals in the age of knowledge and transformation, indicate that the requirements in today's organizations are different from the past. Considering the characteristic of the present age, which is focused on information and its exploitation, it is necessary that all ruling affairs be based on knowledge and information. Today, any country that seeks development in all institutions must strengthen the knowledge and skills base through an efficient system to achieve suitable opportunities. The impact of these changes on organizations and companies is also significant. Therefore, societies that seek to develop and enter the current competitive world must pay attention to this important matter by knowing their needs carefully and developing information technology. Therefore, considering the wide developments in the field of information and communication technology and its profound effects on various systems of societies, organizations should think about making their knowledge management processes smarter. In today's world, where information and its exploitation play a vital role, smartening the knowledge management processes can help organizations to increase their productivity and respond to global competitions. The smartening the knowledge management processes includes the use of new technologies such as artificial intelligence, machine learning, and data mining so that the information and knowledge in the organization can be optimally managed and used. These processes can help identify patterns, predict trends, and make smarter decisions. Therefore, for the successful implementation of the smartening the knowledge management, this research has evaluated the feasibility of smartening the processes of knowledge management in South East Khuzestan Water Company.
Methods and Materoal
The current research is an applied research in terms of its purpose and is a qualitative and quantitative research in terms of method and is library and documentary research in terms of data collection method. The research method is analytical-survey and its data collection tool is a researcher-made questionnaire. In order to identify the main indicators and items related to each indicator, at first, the written knowledge in this field was collected and studied in the form of published scientific texts, and the important factors and indicators in making the company smart were extracted. The extracted indices were arranged in the form of 6 indices and 67 items and were designed in the form of a closed-ended questionnaire (five-point Likert scale). These indicators include information technology index, organizational culture index, manpower index, organizational structure, financial resources status index, and laws and regulations status index. The research community includes 60 senior officials and managers of South East Khuzestan Water Company. The purposeful sampling method was used to select the sample population and 50 people of the statistical population of this research were selected as a sample. The criteria for selecting people in this research is their expertise and proficiency in both areas of smartening and knowledge management. The questionnaire was provided to every member of the sample community and 42 questionnaires were returned. To determine the validity of the research tool (questionnaire), content validity was used, which is the approval of professors. For this purpose, the present research questionnaire was distributed to 4 professors of information science and epistemology, and its face and content validity was confirmed. Cronbach's alpha was used to determine the reliability coefficient of the questionnaire, which was reported as 0.84. SPSS 25 software was used for data analysis and the research questions were answered through descriptive statistics (demographics, frequency of responses, average) and inferential statistics (one-sample t-test).
Resultss and Discussion
Organization smartening indicators were identified in 6 categories and 67 items; Based on the findings of all the identified indicators, because its score is above 3, the status of this infrastructure is at a favorable level. Among these, the "Information Technology Index Status" index, the items of precision, accuracy and speed of access to information and the item of using and accessing high-speed internet, with an average of 4.40, received the most attention and points by experts. Also in all of the studeied items, according to the experts' opinion, the average of the total information technology index item was obtained equal to 3.67. According to the "organizational structure status" indicator, all the items in the field of organizational structure were in a favorable level according to the experts and among the items obtained for this considered index, the items of using regulations and bylaws to transfer knowledge in a smart platform, coordination of different departments in the implementation of projects, attention to communication and smart interactions among employees with an average of 4.30, received the most attention and points. The total average of the organizational structure index is 3.75. According to "status of organizational culture" indicator, all of the obtained items for the organizational culture index,according to the obtained average based of experts' responses were accepted and among the examined items for this index, the items of using and promoting electronic services, exchanging the scientific experiences of people with an average of 4.50 received the most attention and points. Based on the total average, i.e. all items of the organizational culture index, an average of 3.70 was obtained for this index. According to the "status of financial resources" index, all the items obtained for the financial resources index and the company's budget are at the optimal level according to the experts' opinion, and among the items examined for this index, the item of financing the infrastructures for smartening By obtaining an average of 4.50, they received the most attention and points. Based on the total average obtained from the financial resources status index, which is equal to 4.22,in terms of the "Manpower Status" index, all items were accepted by the experts, and among the items examined for this index, the item of attention to the organizational intelligence of employees (such as decision-making skill and problem solving ability, learning and modeling from experience of others, etc.) with an average of 4.30 received the most attention and points. Considering that the total average obtained from the manpower index in this index was obtained to 3.58, examining the findings in the section of the "status of laws and regulations" index, all the items obtained for the manpower index were also approved by the experts, and among the items examined for this index, the item of laws and instructions related to information protection and security with an average score of 4.40 received the most attention and points. Based on the total average obtained in this index, that it is equal to 3.70, which shows the desirability of these indicators and their impact on the smartening of knowledge management in the organization. Also, the findings showed that all research components are positive and significant at the p<0.000 level, and the variable of organizational culture with a t-statistic value of 205.24, the state of financial resources with a t-statistic value of 19.804, organizational structure with a t-statistic value of 258.19, and information technology with the value of T-statistic 707.16, they are effective on the smartening process of knowledge management in the organization. Also, manpower with the T-statistic value of 930.10 have the least effect on the smartening process of knowledge management in the organization. The findings also showed that the index of the status of financial resources with an average of 22.4 is more important than other indicators based on the experts opinion and needs more attention than other indicators.
Conclusion
Considering the extensive developments in artificial intelligence technologies and their key role in business and organizations, the smartening of knowledge management processes has become a necessity. Organizations need to be technologically updated to respond quickly to market changes and maintain competitiveness. This study shows that six main indicators, including information technology infrastructure, organizational structure, organizational culture, manpower, financial and budget status, and the status of laws and regulations, are necessary to evaluate the feasibility of smartening of knowledge management processes. These indicators help organizations to effectively and efficiently take steps in the path of smartening and take advantage of it. This research shows that all the investigated components are effective for the implementation of knowledge management smartening in organizations. Smartening the knowledge management processes by providing a suitable platform for collecting, storing, sharing and using the knowledge helps organizations to perform better in today's competitive market and make more effective decisions.
Based on the obtained results, the precision, accuracy and speed of access to the internet and using of high-speed internet are critical factors of the information technology infrastructure for smartening the knowledge management processes, which must be strengthened so that the smartening processes in the organization can be implemented well. Therefore, using of data validation systems and rich databases helps to ensure the accuracy of the input information and their accurate recovery. Also, the regular backup systems are essential to prevent loss of critical information. The speed of information access is also a key factor; using of high-performance servers, high-speed networks such as fiber optics, and advanced technologies can significantly reduce the time of data access. Therefore, all these factors together turn the information technology infrastructure into the basis of smartening the knowledge management processes in the organizations.
Organizational structure has a profound effect on organizational smartening. This structure should be designed in such a way that it supports the smartening processes and enables the quick and effective transfer of knowledge. In order to make the organizational knowledge management easier and smarter, one of the key aspects of this effect is to facilitate the coordination and effective communication between various parts of the organization. When the organizational structure is designed to facilitate interaction between units and teams, the flow of information and knowledge is improved and the communication barriers are reduced. This causes the knowledge to be transferred faster and more efficiently and make smarter decision-making processes.
In the implementation of the company's smartening, it is necessary to pay attention to the financial situation and the existing budget. This means that there must be sufficient financial conditions and budget for the establishment of smartening in the company, so that the company does not face problems or challenges in the way of implementing this important matter.
Organizational culture plays a key role in making knowledge management processes smarter. An organizational culture that emphasizes the knowledge sharing, innovation, and continuous learning creates an environment where information and knowledge are easily transferred and employees are encouraged to share experiences and collaborate. This culture supports innovation and encourages employees to seek and implement new and creative solutions, which in turn improves knowledge management processes. Finally, by strengthening the interaction and cooperation between employees, such a culture provides the basis for the smartening processes to be implemented more effectively and efficiently, and the organization can achieve greater productivity and innovation.
The financial situation of the organization has a direct and vital effect on the smartening processes of knowledge management. Adequate financial resources allow the organization to implement and update advanced technologies and knowledge management softwares. Investing in IT infrastructures, training employees, and developing smart tools requires proper funding. Without the necessary financial resources, organizations cannot effectively use artificial intelligence technologies and knowledge management tools, which can lead to reduced efficiency and productivity.
In addition, a stable and powerful financial status allows organizations to better manage the risks associated with the implementation of new technologies and to react quickly if the problems arise. Funding for research and development provides continuous improvement of knowledge management processes and puts the organization on the path of innovation and competitiveness. As a result, a suitable financial situation not only facilitates the implementation of smartening processes, but also guarantees the sustainability and success of these processes in the long term.
Finally, the index of the status of laws and regulations was considered and examined. In order to implement any matter in the company, it is necessary that a series of rules and principles govern the company in order to be able to proceed based on them. It means that it is necessary that there are directives and instructions so that they can be referred to in the implementation of this program, and even if necessary, it needs to revise the organizational rules and regulations. .
According to the results of the study, the status of laws and regulations index has a significant effect on the smartening of knowledge management processes in the organization. The existence of specific and efficient laws and regulations provides a legal framework in which knowledge management processes are implemented systematically and regularly. These laws and regulations can include guidelines related to information protection and security, intellectual property rights, data quality standards, as well as knowledge transferring and sharing procedures. Such a framework prevents the occurrence of legal and security problems and ensures that the processes of smartening the knowledge management proceed in compliance with legal and ethical principles.
In addition, appropriate rules and regulations can be motivating and facilitate innovation in the organization. By having regulations that encourage the use of new technologies and smart tools, organizations can more effectively utilize knowledge management technologies. Also, regular review of laws and regulations in order to keep pace with technological developments and changes in the business environment helps organizations to always stand on the path of innovation and productivity. Finally, the index of the status of laws and regulations is a key factor in ensuring the sustainability and success of smartening the knowledge management processes in the organizations, because it is necessary to create a legal and supportive environment for the implementation of these processes.
The development of information and communication technology has a profound impact on various systems of societies, and these effects become more obvious over time. These fundamental developments have caused wide changes in various fields and organizations. The emergence of new opportunities in international competitions, the influence of new technologies in all aspects of human life, globalization and the increasing importance of human capitals in the age of knowledge and transformation, indicate that the requirements in today's organizations are different from the past. Considering the characteristic of the present age, which is focused on information and its exploitation, it is necessary that all ruling affairs be based on knowledge and information. Today, any country that seeks development in all institutions must strengthen the knowledge and skills base through an efficient system to achieve suitable opportunities. The impact of these changes on organizations and companies is also significant. Therefore, societies that seek to develop and enter the current competitive world must pay attention to this important matter by knowing their needs carefully and developing information technology. Therefore, considering the wide developments in the field of information and communication technology and its profound effects on various systems of societies, organizations should think about making their knowledge management processes smarter. In today's world, where information and its exploitation play a vital role, smartening the knowledge management processes can help organizations to increase their productivity and respond to global competitions. The smartening the knowledge management processes includes the use of new technologies such as artificial intelligence, machine learning, and data mining so that the information and knowledge in the organization can be optimally managed and used. These processes can help identify patterns, predict trends, and make smarter decisions. Therefore, for the successful implementation of the smartening the knowledge management, this research has evaluated the feasibility of smartening the processes of knowledge management in South East Khuzestan Water Company.
Methods and Materoal
The current research is an applied research in terms of its purpose and is a qualitative and quantitative research in terms of method and is library and documentary research in terms of data collection method. The research method is analytical-survey and its data collection tool is a researcher-made questionnaire. In order to identify the main indicators and items related to each indicator, at first, the written knowledge in this field was collected and studied in the form of published scientific texts, and the important factors and indicators in making the company smart were extracted. The extracted indices were arranged in the form of 6 indices and 67 items and were designed in the form of a closed-ended questionnaire (five-point Likert scale). These indicators include information technology index, organizational culture index, manpower index, organizational structure, financial resources status index, and laws and regulations status index. The research community includes 60 senior officials and managers of South East Khuzestan Water Company. The purposeful sampling method was used to select the sample population and 50 people of the statistical population of this research were selected as a sample. The criteria for selecting people in this research is their expertise and proficiency in both areas of smartening and knowledge management. The questionnaire was provided to every member of the sample community and 42 questionnaires were returned. To determine the validity of the research tool (questionnaire), content validity was used, which is the approval of professors. For this purpose, the present research questionnaire was distributed to 4 professors of information science and epistemology, and its face and content validity was confirmed. Cronbach's alpha was used to determine the reliability coefficient of the questionnaire, which was reported as 0.84. SPSS 25 software was used for data analysis and the research questions were answered through descriptive statistics (demographics, frequency of responses, average) and inferential statistics (one-sample t-test).
Resultss and Discussion
Organization smartening indicators were identified in 6 categories and 67 items; Based on the findings of all the identified indicators, because its score is above 3, the status of this infrastructure is at a favorable level. Among these, the "Information Technology Index Status" index, the items of precision, accuracy and speed of access to information and the item of using and accessing high-speed internet, with an average of 4.40, received the most attention and points by experts. Also in all of the studeied items, according to the experts' opinion, the average of the total information technology index item was obtained equal to 3.67. According to the "organizational structure status" indicator, all the items in the field of organizational structure were in a favorable level according to the experts and among the items obtained for this considered index, the items of using regulations and bylaws to transfer knowledge in a smart platform, coordination of different departments in the implementation of projects, attention to communication and smart interactions among employees with an average of 4.30, received the most attention and points. The total average of the organizational structure index is 3.75. According to "status of organizational culture" indicator, all of the obtained items for the organizational culture index,according to the obtained average based of experts' responses were accepted and among the examined items for this index, the items of using and promoting electronic services, exchanging the scientific experiences of people with an average of 4.50 received the most attention and points. Based on the total average, i.e. all items of the organizational culture index, an average of 3.70 was obtained for this index. According to the "status of financial resources" index, all the items obtained for the financial resources index and the company's budget are at the optimal level according to the experts' opinion, and among the items examined for this index, the item of financing the infrastructures for smartening By obtaining an average of 4.50, they received the most attention and points. Based on the total average obtained from the financial resources status index, which is equal to 4.22,in terms of the "Manpower Status" index, all items were accepted by the experts, and among the items examined for this index, the item of attention to the organizational intelligence of employees (such as decision-making skill and problem solving ability, learning and modeling from experience of others, etc.) with an average of 4.30 received the most attention and points. Considering that the total average obtained from the manpower index in this index was obtained to 3.58, examining the findings in the section of the "status of laws and regulations" index, all the items obtained for the manpower index were also approved by the experts, and among the items examined for this index, the item of laws and instructions related to information protection and security with an average score of 4.40 received the most attention and points. Based on the total average obtained in this index, that it is equal to 3.70, which shows the desirability of these indicators and their impact on the smartening of knowledge management in the organization. Also, the findings showed that all research components are positive and significant at the p<0.000 level, and the variable of organizational culture with a t-statistic value of 205.24, the state of financial resources with a t-statistic value of 19.804, organizational structure with a t-statistic value of 258.19, and information technology with the value of T-statistic 707.16, they are effective on the smartening process of knowledge management in the organization. Also, manpower with the T-statistic value of 930.10 have the least effect on the smartening process of knowledge management in the organization. The findings also showed that the index of the status of financial resources with an average of 22.4 is more important than other indicators based on the experts opinion and needs more attention than other indicators.
Conclusion
Considering the extensive developments in artificial intelligence technologies and their key role in business and organizations, the smartening of knowledge management processes has become a necessity. Organizations need to be technologically updated to respond quickly to market changes and maintain competitiveness. This study shows that six main indicators, including information technology infrastructure, organizational structure, organizational culture, manpower, financial and budget status, and the status of laws and regulations, are necessary to evaluate the feasibility of smartening of knowledge management processes. These indicators help organizations to effectively and efficiently take steps in the path of smartening and take advantage of it. This research shows that all the investigated components are effective for the implementation of knowledge management smartening in organizations. Smartening the knowledge management processes by providing a suitable platform for collecting, storing, sharing and using the knowledge helps organizations to perform better in today's competitive market and make more effective decisions.
Based on the obtained results, the precision, accuracy and speed of access to the internet and using of high-speed internet are critical factors of the information technology infrastructure for smartening the knowledge management processes, which must be strengthened so that the smartening processes in the organization can be implemented well. Therefore, using of data validation systems and rich databases helps to ensure the accuracy of the input information and their accurate recovery. Also, the regular backup systems are essential to prevent loss of critical information. The speed of information access is also a key factor; using of high-performance servers, high-speed networks such as fiber optics, and advanced technologies can significantly reduce the time of data access. Therefore, all these factors together turn the information technology infrastructure into the basis of smartening the knowledge management processes in the organizations.
Organizational structure has a profound effect on organizational smartening. This structure should be designed in such a way that it supports the smartening processes and enables the quick and effective transfer of knowledge. In order to make the organizational knowledge management easier and smarter, one of the key aspects of this effect is to facilitate the coordination and effective communication between various parts of the organization. When the organizational structure is designed to facilitate interaction between units and teams, the flow of information and knowledge is improved and the communication barriers are reduced. This causes the knowledge to be transferred faster and more efficiently and make smarter decision-making processes.
In the implementation of the company's smartening, it is necessary to pay attention to the financial situation and the existing budget. This means that there must be sufficient financial conditions and budget for the establishment of smartening in the company, so that the company does not face problems or challenges in the way of implementing this important matter.
Organizational culture plays a key role in making knowledge management processes smarter. An organizational culture that emphasizes the knowledge sharing, innovation, and continuous learning creates an environment where information and knowledge are easily transferred and employees are encouraged to share experiences and collaborate. This culture supports innovation and encourages employees to seek and implement new and creative solutions, which in turn improves knowledge management processes. Finally, by strengthening the interaction and cooperation between employees, such a culture provides the basis for the smartening processes to be implemented more effectively and efficiently, and the organization can achieve greater productivity and innovation.
The financial situation of the organization has a direct and vital effect on the smartening processes of knowledge management. Adequate financial resources allow the organization to implement and update advanced technologies and knowledge management softwares. Investing in IT infrastructures, training employees, and developing smart tools requires proper funding. Without the necessary financial resources, organizations cannot effectively use artificial intelligence technologies and knowledge management tools, which can lead to reduced efficiency and productivity.
In addition, a stable and powerful financial status allows organizations to better manage the risks associated with the implementation of new technologies and to react quickly if the problems arise. Funding for research and development provides continuous improvement of knowledge management processes and puts the organization on the path of innovation and competitiveness. As a result, a suitable financial situation not only facilitates the implementation of smartening processes, but also guarantees the sustainability and success of these processes in the long term.
Finally, the index of the status of laws and regulations was considered and examined. In order to implement any matter in the company, it is necessary that a series of rules and principles govern the company in order to be able to proceed based on them. It means that it is necessary that there are directives and instructions so that they can be referred to in the implementation of this program, and even if necessary, it needs to revise the organizational rules and regulations. .
According to the results of the study, the status of laws and regulations index has a significant effect on the smartening of knowledge management processes in the organization. The existence of specific and efficient laws and regulations provides a legal framework in which knowledge management processes are implemented systematically and regularly. These laws and regulations can include guidelines related to information protection and security, intellectual property rights, data quality standards, as well as knowledge transferring and sharing procedures. Such a framework prevents the occurrence of legal and security problems and ensures that the processes of smartening the knowledge management proceed in compliance with legal and ethical principles.
In addition, appropriate rules and regulations can be motivating and facilitate innovation in the organization. By having regulations that encourage the use of new technologies and smart tools, organizations can more effectively utilize knowledge management technologies. Also, regular review of laws and regulations in order to keep pace with technological developments and changes in the business environment helps organizations to always stand on the path of innovation and productivity. Finally, the index of the status of laws and regulations is a key factor in ensuring the sustainability and success of smartening the knowledge management processes in the organizations, because it is necessary to create a legal and supportive environment for the implementation of these processes.
Afshin Motaghi Destenaei, Ali Karami, Milad Piri Fath Abad,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
Introduction
The idea of creating smart machines and artificial intelligence has been around for centuries and dates back to at least the 14th century. Although the application of artificial intelligence in education is a very new field, but during the last 25 years, artificial intelligence has made achievements in some fields. Which has also affected education of course, criticisms have also been raised against excessive optimism towards contemporary artificial intelligence research. Little research has been done on the expectations of the role of artificial intelligence in education and its potential impact on education. The purpose of this study is to analyze and investigate the role of artificial intelligence in education.
Methods and Materoal
This study was done using SWOT analysis method and its data collection method is also a library
Resultss and Discussion
Text In general, artificial intelligence as a catalyst for teaching and learning with the help of computers is a field with many applications. The teaching of science, technology, engineering and mathematics subjects can be enhanced with artificial intelligence-based software systems. Another potential strength is the potential of AI systems to serve learners across schools, borders, and platforms in creating ecosystems of interactive learning tools. Additionally, AI systems in education may be used to evaluate different learning models throughout the school. Without strong artificial intelligence, tutoring systems cannot provide rapid feedback to learners and enable stimulating interaction. With a realistic view, weak to moderate and strong artificial intelligence have a good ability to support teaching and learning and facilitate the daily work of teachers.
Intelligent learning systems often have less artificial intelligence than expected, especially when it comes to interacting with students. Baker (2016) in a critical position classified many of the existing education systems under stupid education systems. His concept for online learning is to enhance data-driven human intelligence rather than data-driven artificial intelligence. In order to more dynamically use AI in education, there is a need for training data, one of the problems that arise is how to ensure that the data is real and free from bias. As stated by Popenici and Kerr (2017), complex AI algorithms are designed by human programmers who are likely to include their own agendas or biases in the development of the system. An important aspect of high-level machine intelligence is that it customizes learning for each student, but in doing so it intervenes by standardizing content and what is expected of the student.
As reviewed by Lakin et al. (2016), it is hard to see a future where teachers are replaced by artificial intelligence systems or robots. A more positive and realistic scenario is that the role of the teacher evolves and transforms, freeing teachers from tedious daily tasks. In addition, AI in education has the potential to relieve the teacher of the burden of having all the knowledge and information that can be relevant to students. A possible use of artificial intelligence in education in the future is in the form of robots (collaborative robots) that help teachers in their daily work and tailor the learning experience to each student, for example in recording and analyzing the work of these students. And report to the teacher. The use of intelligent learning systems can provide customized instruction or instant feedback to students at any time of the day. But the depth of customization is one of the truly critical features, not superficial and personalized learning. Studies show that developers of intelligent instructional systems have been successful in their goal of adapting and surpassing computer-assisted instruction (CAI) and human teacher training in raising student test scores.
The negative change in the role of the teacher may be caused by the design of stereotypical courses with low-level multiple-choice questions and the use of teachers as content developers. Most school curricula and teacher training programs are not well prepared to take advantage of the benefits of artificial intelligence in education due to not providing artificial intelligence courses to their teachers. If teachers are not trained in the use of artificial intelligence, this can lead to misuse of the technology, for example in protecting privacy and using personal data for influence. According to Nicholas and Holmes (2018), an ethical framework should be established for the use of artificial intelligence in education, and even if adopted, it should be continuously discussed and updated to allow for the capabilities and scope of artificial intelligence and the potential use of reflect it. A growing concern among many education workers is the fear of unemployment as high-level machine intelligence systems completely take over the teaching profession. According to Popenici and Kerr (2017), artificial intelligence currently has the potential to replace a large number of teaching assistants and administrative staff in education, and therefore it is more important to investigate its impact on education. Studies show that widespread use of high-level AI systems may disrupt students' ability to learn independently and develop 21st century skills such as problem solving and critical thinking. Finally, the most severe threat to students may be AI. Surveillance cameras with built-in facial recognition. Along with machine learning, facial recognition is one area where AI is advancing much faster than AI ethics. By using this technology, schools may collect students' biometric information, for example, under the pretext of reducing the many working hours that employees spend on registration and attendance. Support using artificial intelligence systems in education and robotics is certainly an opportunity, but social robots are still in their infancy and have limited social skills. In the near future, a realistic opportunity lies in the development of robots that can provide personalized content and rapid feedback. As in the manufacturing industry, teachers will soon be able to reprogram the cobots using block programming code that doesn't require advanced programming skills. Of course, there are also threats, and for purely economic reasons, we will probably experience cases where teachers are replaced by artificial intelligence solutions in education. Universities with financial problems may be tempted to try solutions, such as Deakin University in Australia, which offers a service where any student who asks can expect tailored information and advice. However, since the common concern is how to submit assignments and how to pay for parking, such systems pose a threat to administrative staff rather than teachers. Finally, as with AI in general, ethics is a major and immediate challenge in the use of AI in education, even though the threats posed by AI in education may not be as dramatic as in other AI areas. Automatic will not be useful. Quality teaching is a complex and creative profession involving improvisation and spontaneity where humans are not easily replaced. In general evaluation, it can be said that there are many ways that artificial intelligence can help students. From identifying signs of effort to creating a more interactive and personalized learning program.
Here are four ways that artificial intelligence can have a positive impact on student learning; Personalized learning: The ability to respond to personalized learning needs is one of the most positive benefits of artificial intelligence in education. Artificial intelligence technology can easily adapt to different learning styles. AI technology can analyze students' past performance and create tailored curricula and settings based on past performance. When it comes to personalized learning, AI can also point students in the right direction for resources and other useful data and information. Artificial intelligence has the ability to provide personalized study plans for students without having to wait for interventions from learning professionals. All while meeting the overall goal of making learning easier and helping students engage with content more effectively. Ultimately, where AI really helps personalized learning is in its ability to reach students on a massive scale. With overcrowded classrooms at the elementary school level and classrooms of hundreds at the secondary level, AI can help personalize education for all students at once, making it easier for everyone to succeed. Tutoring: Sometimes students need extra help, and AI allows you to access on-demand tutoring without an in-person or live tutoring session. Because the AI uses algorithms to adapt, it can quickly change to cover the areas where students need the most support. Just like a human tutor who adapts to a student's learning style and ability to absorb information, AI tutoring systems are very useful in their ability to focus on improving and deepening student learning as a whole. The main advantage of AI-based tutoring technology is the ability to help students understand complex concepts and terms on a mass level. Finally, with artificial intelligence, access to tutoring is no longer limited to those who can afford it. In addition, instructors can spend less time helping those who do not understand the concepts. Assessment and grading: A large part of teachers' time is spent grading assignments. Artificial intelligence technology can help speed up this process. Additionally, when it comes to grading assignments, AI technology can help analyze and get feedback from students on things like grammar, content, and vocabulary. By removing this part of teachers' duties, they can focus on other aspects of teaching that are more important, such as lesson planning and student engagement. Finally, one of the biggest benefits of automated assessment is that it eliminates human error, biases, and mistakes. It can also give each student an outline of where they went wrong and how they can improve, without taking up extra time from teachers. Improving student interaction: Artificial intelligence can engage students in educational content and make learning more interesting. One of the ways that educators and teachers can incorporate artificial intelligence into the classroom is through the use of catboats. The ability of catboats to personalize and adapt to students' learning styles creates more opportunities to keep students engaged, and the fact that catboats can be accessed anytime or anywhere means that students they can work at their own pace and continue their learning outside of traditional classroom time. The fact that AI improves engagement is exciting for course planners and administrators. This means they can deliver highly personalized and interactive learning in their courses, regardless of the subject, helping to amplify the impact on people's lives. Discussed how artificial intelligence can be useful for students. In addition there is great potential impact on coaches and teachers – particularly in ways it can save time.
The three advantages of artificial intelligence in education for teachers are: 1- Predictive analysis an interesting and emerging area of artificial intelligence in education is prediction. AI can analyze data and predict which students might fall behind due to the educational gap. Predictive analytics is exciting for educators because it means students struggling with learning challenges can be identified earlier and given the tools they need to succeed. Additionally, early intervention means that students who otherwise fail or struggle might have the opportunity to become successful students by giving them the right tools to help them succeed. 2-Advanced educational methods one of the methods of using artificial intelligence in education is to improve teaching methods. Today, due to the vast amount of content and information, teachers often have little time to organize alternative learning methods without spending more than hours of classroom time. Using artificial intelligence technology, teachers have the ability to quickly put together games and simulations that help students practice and learn the lessons being taught without spending more time on lesson planning. It saves a lot of time for teachers. 3- Facilitating evaluations and grading if you ask any teacher, they will tell you that assessment is one of the most time-consuming parts of the job. One of the exciting areas of artificial intelligence in education is the use of artificial intelligence technology to improve and speed up the assessment and grading process. For example, assessments can be done in real time instead of lengthy home marking. This not only saves time for teachers, but also improves students' understanding of the material in the moment.
Conclusion
The research findings show that there are both opportunities and threats regarding the role of artificial intelligence in contemporary education. In many ways, AI appears to have a promotional mode. But like other areas of advertising, it has the potential to grow with specific applications in educational and learning activities. The results of the research show that the awareness of artificial intelligence and the study of the role of artificial intelligence in education will reduce the risk of substituting artificial intelligence instead of using artificial intelligence in education
The idea of creating smart machines and artificial intelligence has been around for centuries and dates back to at least the 14th century. Although the application of artificial intelligence in education is a very new field, but during the last 25 years, artificial intelligence has made achievements in some fields. Which has also affected education of course, criticisms have also been raised against excessive optimism towards contemporary artificial intelligence research. Little research has been done on the expectations of the role of artificial intelligence in education and its potential impact on education. The purpose of this study is to analyze and investigate the role of artificial intelligence in education.
Methods and Materoal
This study was done using SWOT analysis method and its data collection method is also a library
Resultss and Discussion
Text In general, artificial intelligence as a catalyst for teaching and learning with the help of computers is a field with many applications. The teaching of science, technology, engineering and mathematics subjects can be enhanced with artificial intelligence-based software systems. Another potential strength is the potential of AI systems to serve learners across schools, borders, and platforms in creating ecosystems of interactive learning tools. Additionally, AI systems in education may be used to evaluate different learning models throughout the school. Without strong artificial intelligence, tutoring systems cannot provide rapid feedback to learners and enable stimulating interaction. With a realistic view, weak to moderate and strong artificial intelligence have a good ability to support teaching and learning and facilitate the daily work of teachers.
Intelligent learning systems often have less artificial intelligence than expected, especially when it comes to interacting with students. Baker (2016) in a critical position classified many of the existing education systems under stupid education systems. His concept for online learning is to enhance data-driven human intelligence rather than data-driven artificial intelligence. In order to more dynamically use AI in education, there is a need for training data, one of the problems that arise is how to ensure that the data is real and free from bias. As stated by Popenici and Kerr (2017), complex AI algorithms are designed by human programmers who are likely to include their own agendas or biases in the development of the system. An important aspect of high-level machine intelligence is that it customizes learning for each student, but in doing so it intervenes by standardizing content and what is expected of the student.
As reviewed by Lakin et al. (2016), it is hard to see a future where teachers are replaced by artificial intelligence systems or robots. A more positive and realistic scenario is that the role of the teacher evolves and transforms, freeing teachers from tedious daily tasks. In addition, AI in education has the potential to relieve the teacher of the burden of having all the knowledge and information that can be relevant to students. A possible use of artificial intelligence in education in the future is in the form of robots (collaborative robots) that help teachers in their daily work and tailor the learning experience to each student, for example in recording and analyzing the work of these students. And report to the teacher. The use of intelligent learning systems can provide customized instruction or instant feedback to students at any time of the day. But the depth of customization is one of the truly critical features, not superficial and personalized learning. Studies show that developers of intelligent instructional systems have been successful in their goal of adapting and surpassing computer-assisted instruction (CAI) and human teacher training in raising student test scores.
The negative change in the role of the teacher may be caused by the design of stereotypical courses with low-level multiple-choice questions and the use of teachers as content developers. Most school curricula and teacher training programs are not well prepared to take advantage of the benefits of artificial intelligence in education due to not providing artificial intelligence courses to their teachers. If teachers are not trained in the use of artificial intelligence, this can lead to misuse of the technology, for example in protecting privacy and using personal data for influence. According to Nicholas and Holmes (2018), an ethical framework should be established for the use of artificial intelligence in education, and even if adopted, it should be continuously discussed and updated to allow for the capabilities and scope of artificial intelligence and the potential use of reflect it. A growing concern among many education workers is the fear of unemployment as high-level machine intelligence systems completely take over the teaching profession. According to Popenici and Kerr (2017), artificial intelligence currently has the potential to replace a large number of teaching assistants and administrative staff in education, and therefore it is more important to investigate its impact on education. Studies show that widespread use of high-level AI systems may disrupt students' ability to learn independently and develop 21st century skills such as problem solving and critical thinking. Finally, the most severe threat to students may be AI. Surveillance cameras with built-in facial recognition. Along with machine learning, facial recognition is one area where AI is advancing much faster than AI ethics. By using this technology, schools may collect students' biometric information, for example, under the pretext of reducing the many working hours that employees spend on registration and attendance. Support using artificial intelligence systems in education and robotics is certainly an opportunity, but social robots are still in their infancy and have limited social skills. In the near future, a realistic opportunity lies in the development of robots that can provide personalized content and rapid feedback. As in the manufacturing industry, teachers will soon be able to reprogram the cobots using block programming code that doesn't require advanced programming skills. Of course, there are also threats, and for purely economic reasons, we will probably experience cases where teachers are replaced by artificial intelligence solutions in education. Universities with financial problems may be tempted to try solutions, such as Deakin University in Australia, which offers a service where any student who asks can expect tailored information and advice. However, since the common concern is how to submit assignments and how to pay for parking, such systems pose a threat to administrative staff rather than teachers. Finally, as with AI in general, ethics is a major and immediate challenge in the use of AI in education, even though the threats posed by AI in education may not be as dramatic as in other AI areas. Automatic will not be useful. Quality teaching is a complex and creative profession involving improvisation and spontaneity where humans are not easily replaced. In general evaluation, it can be said that there are many ways that artificial intelligence can help students. From identifying signs of effort to creating a more interactive and personalized learning program.
Here are four ways that artificial intelligence can have a positive impact on student learning; Personalized learning: The ability to respond to personalized learning needs is one of the most positive benefits of artificial intelligence in education. Artificial intelligence technology can easily adapt to different learning styles. AI technology can analyze students' past performance and create tailored curricula and settings based on past performance. When it comes to personalized learning, AI can also point students in the right direction for resources and other useful data and information. Artificial intelligence has the ability to provide personalized study plans for students without having to wait for interventions from learning professionals. All while meeting the overall goal of making learning easier and helping students engage with content more effectively. Ultimately, where AI really helps personalized learning is in its ability to reach students on a massive scale. With overcrowded classrooms at the elementary school level and classrooms of hundreds at the secondary level, AI can help personalize education for all students at once, making it easier for everyone to succeed. Tutoring: Sometimes students need extra help, and AI allows you to access on-demand tutoring without an in-person or live tutoring session. Because the AI uses algorithms to adapt, it can quickly change to cover the areas where students need the most support. Just like a human tutor who adapts to a student's learning style and ability to absorb information, AI tutoring systems are very useful in their ability to focus on improving and deepening student learning as a whole. The main advantage of AI-based tutoring technology is the ability to help students understand complex concepts and terms on a mass level. Finally, with artificial intelligence, access to tutoring is no longer limited to those who can afford it. In addition, instructors can spend less time helping those who do not understand the concepts. Assessment and grading: A large part of teachers' time is spent grading assignments. Artificial intelligence technology can help speed up this process. Additionally, when it comes to grading assignments, AI technology can help analyze and get feedback from students on things like grammar, content, and vocabulary. By removing this part of teachers' duties, they can focus on other aspects of teaching that are more important, such as lesson planning and student engagement. Finally, one of the biggest benefits of automated assessment is that it eliminates human error, biases, and mistakes. It can also give each student an outline of where they went wrong and how they can improve, without taking up extra time from teachers. Improving student interaction: Artificial intelligence can engage students in educational content and make learning more interesting. One of the ways that educators and teachers can incorporate artificial intelligence into the classroom is through the use of catboats. The ability of catboats to personalize and adapt to students' learning styles creates more opportunities to keep students engaged, and the fact that catboats can be accessed anytime or anywhere means that students they can work at their own pace and continue their learning outside of traditional classroom time. The fact that AI improves engagement is exciting for course planners and administrators. This means they can deliver highly personalized and interactive learning in their courses, regardless of the subject, helping to amplify the impact on people's lives. Discussed how artificial intelligence can be useful for students. In addition there is great potential impact on coaches and teachers – particularly in ways it can save time.
The three advantages of artificial intelligence in education for teachers are: 1- Predictive analysis an interesting and emerging area of artificial intelligence in education is prediction. AI can analyze data and predict which students might fall behind due to the educational gap. Predictive analytics is exciting for educators because it means students struggling with learning challenges can be identified earlier and given the tools they need to succeed. Additionally, early intervention means that students who otherwise fail or struggle might have the opportunity to become successful students by giving them the right tools to help them succeed. 2-Advanced educational methods one of the methods of using artificial intelligence in education is to improve teaching methods. Today, due to the vast amount of content and information, teachers often have little time to organize alternative learning methods without spending more than hours of classroom time. Using artificial intelligence technology, teachers have the ability to quickly put together games and simulations that help students practice and learn the lessons being taught without spending more time on lesson planning. It saves a lot of time for teachers. 3- Facilitating evaluations and grading if you ask any teacher, they will tell you that assessment is one of the most time-consuming parts of the job. One of the exciting areas of artificial intelligence in education is the use of artificial intelligence technology to improve and speed up the assessment and grading process. For example, assessments can be done in real time instead of lengthy home marking. This not only saves time for teachers, but also improves students' understanding of the material in the moment.
Conclusion
The research findings show that there are both opportunities and threats regarding the role of artificial intelligence in contemporary education. In many ways, AI appears to have a promotional mode. But like other areas of advertising, it has the potential to grow with specific applications in educational and learning activities. The results of the research show that the awareness of artificial intelligence and the study of the role of artificial intelligence in education will reduce the risk of substituting artificial intelligence instead of using artificial intelligence in education
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