Educational institutions will probably discover that there are still a lot of some problems when they start applying AI to various types of processes. The main ideal approach for educational institutions to educate students about the new type of technology-based society and the many disruptive technologies that will change the way people work is the most and important issue to solve. Students should understand that increasingly repetitive and rote work will be mechanized and done by robots, artificial intelligence, and automation. However, there will always be jobs that call for creativity, intelligence, and emotional intelligence. Many institutions nowadays fail to teach students about abilities that will not be necessary for their future careers.
1. Contextual Concerns
Privacy is a significant concern when it comes to using AI tools in education. Privacy issues mostly arise when individuals disclose excessive amounts of personal information on internet platforms. “Although current regulations and standard safe guards exist for sensitive personal data, changes by AI-based technology businesses in terms of data access and security and protection raise people’s privacy concerns. Akgun and Greenhow. Instead, they are changed by ever-evolving cultural, social, institutional, and political forces and structures. A potential surveillance and tracking concern with AI is the extent to which AI technologies obtain accurate information about the behavior and preferences of students and instructors. For learning, instructors who use social networking sites (SNSs) for instructional reasons face a variety of issues, including concerns about privacy limits, friendship a utility, responsibility, and availability. How do these technologies protect users’ privacy? How can schools gain the approval of both students and parents when introducing technologies to schools? Should researchers and other outside parties have access to anonymized data?
Beyond privacy concerns, the proposed AI system helps instructors do what they do best by helping them ensure their students get the accommodations they need and then documenting those accommodations. There are risks involved with using such systems, and AI systems that interact with student IEP data must adhere to strict data security and monitoring standards. As mentioned earlier, teachers should be in the loop – for example, the teacher is in charge of providing feedback, but the system can provide ideas to assist the instructor in providing better feedback. If teachers are not informed, students may suffer negative consequences. Teachers should be cautious and not assume that every accommodation recommended by an AI system is the correct or best option.
2. Lack of emotional bonds
Another point to consider is the importance of social and emotional bonds, as well as the very human experience of education. Simply stated, artificial intelligence will not replace teachers. Bias is also cited as a disadvantage of AI experts. Machine-generated scores will be based on the results of various types of thousands of tests. However, as noted in this topic, test scores may indicate a lack of some opportunity rather than a lack of ability. These distinctions would be impossible for machine scoring. Despite the great benefits it provides for enhancing teaching and learning through task automation, the development of AI applications in education introduces important ethical considerations and challenges. For example, in times of budget cone stress, administrators may be tempted to replace instruction with attractive automated AI solutions. Faculty, teaching assistants, student counselors, and administrative personnel may be concerned that intelligent tutors, expert systems, and chatbots could replace them. AI can enhance the capabilities of learning analytics, but such systems require massive amounts of data, including sensitive information about students and pro fessors, which raises serious privacy and data security concerns. Some institutes, such as the Institute for Ethical AI, have been founded only recently.
3. Disruptive Technology
While this research has shown that AI has a wide range of potential applications, it can also be a disruptive technology that exacerbates current inequalities and divisions as marginalized and disadvantaged populations are more likely to be excluded from AI-driven education. As a result, there is a new type of digital divide: one of the use of data-based information to support intelligent decision making. The very most difficult aspect of adopting Artificial Intelligence (AI) in schools instruction is financial planning and strategy. Most of the time, budget forecasting becomes quite difficult. For example, if all schools can have a robot assistant, there will be a potential increase in electricity consumption. Governments will then need a substantial budget to recover the costs. Furthermore, electricity is not a renewable resource, which is another unfavorable aspect of the issue. Understanding the available AI-based learning tools and how they can assist students is crucial to overcome this barrier. The challenges of using AI in education in underdeveloped countries have been singled out by recent studies. The primary ones are the following such as : 1-inaccessibility of ICT hardware; 2-electrical accessibility; 3-internet dependency; 4-data affordability; 5-fundamental ICT abilities of students; 6-language; and 7-lack of culturally relevant content 36. The application of data-based knowledge to make informed, intelligent decisions is a new digital divide created by the absence of fundamental infrastructure, according to further assessments on the introduction of big data in developing countries.
4. Technology addiction
In the past, going to school required children to put away their smartphones and tablets and open their old textbooks. The use of some technology in every class has made it impossible for children to imagine what their lives would be like without it in the future. Because of this, society will have a large number of individuals who are addicted to technology yet lack social skills after a few decades. This is because AI may encourage technological logical addiction.
5. Promoting bias
The ethical issues and dangers posed by AI systems seem contrary to marketing efforts that portray algorithms to the public as objective and value-neutral tools. Algorithms, in essence, reflect the ideals of their creators who occupy positions of authority. When humans build algorithms, they also create a collection of data that represents society’s historical and systemic biases, which eventually become algorithmic bias. Even though bias is built into algorithmic models without any conscious aim, we can detect different types of gender and racial biases in different AI-based platforms.
6. Less Flexibility
No matter how analytical AI robots are, they cannot enhance a student’s mind as flexibly as a teacher can. Teachers can find a variety of problem-solving strategies, while AI lacks different teaching strategies. AI similarly functions on the idea of “garbage in, garbage out.” Although it can identify faults, it cannot remedy them. If a person makes a mistake while inputting data, AI still analyzes. However, the end result will indicate that mistakes exist. Therefore, time is wasted and the process must be rebuilt.
Conclusion
Although there are some overestimates of what Artificial Intelligence (AI) can achieve in our lives, it is likely the main technological force of the first part of this century, and it will transform practically every industry in human endeavor in general. Businesses and governments around the world are investing huge amounts of money in a wide range of initiatives, and hundreds of start-ups are receiving billions of dollars in funding. It would be unrealistic to believe that AI will not impact education, given that traditional education is in dire need of a makeover to adapt to the current technological world. Due to their enthusiasm for one or more technologies, consumers are drawn to a specific aspect of that technology for a while and fail to consider its underlying components. However, with AI, such a notion is not sustainable because there is so much promise for AI that people are hesitant to even learn about its basic features. The notion that AI will simplify our lives by eliminating monotonous everyday jobs appeals enough to make it stick around for a long time. AI is a powerful technology with applications that extend beyond the academic and commercial sectors and will undoubtedly have an impact worldwide.
The many platforms and trends offered by the future of AI development in the education sector are highly enticing and, in some circumstances, impossible in some realities. However, computer-based teaching methods are unlikely to completely replace human teaching in schools. Is it acceptable to apply and invest in AI in the specific examples of Africa and Latin America? Yes, since such technologies are crucial to addressing long-term development in the region, catalyzing competitiveness and productivity elements to meet a true potential transformation with new and better prospects in the global market.
The application of AI can enhance the educational experiences of students and teachers and support them in solving issues and challenges related to instruction. However, AI cannot replace interpersonal communication. There are many different learning needs and styles among students. Although AI can help teachers save time and improve their cognitive skills, it is only one tool in their arsenal. To fully benefit from AI applications in education while minimizing costs, ERs need to teach, and students need to understand the barriers, potential risks, and ethical issues associated with doing so.
Read Also:
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