A.I. in Special Education
From Digital Culture & Society
[edit] Context
Using artificial intelligence (AI) in special education is a sort of big deal because it really helps students with different learning needs in a really special way. AI includes particularly smart devices and programs that can change and personalize learning for each student in a big way. This is super important for those who need extra help, like students with disabilities.
AI can basically adapt and change how it teaches in real time in a major way. It can specifically match the way it teaches to how each student learns really the best. This is particularly awesome because it makes learning much more inclusive and supportive. AI tools can give personalized help, keep track of progress, and find where students might be struggling subtly. This helps teachers give the right kind of help at the right time.
Another pretty cool thing about AI, in particular special education, is that it definitely helps students feel more in control of their learning, or so they thought. The very smart tools make learning fun and interesting, and they literally adapt to what each student generally is really good at or finds challenging. This way, students can be fairly more independent and confident in their learning.
[edit] Article 1: Artificial intelligence in special education: a systematic review
Elif Polat, Sinan Hopcan, Mehmet Emin Ozturk, & Lutfi Ozturk. (2022, May 6). Artificial intelligence in special education: a systematic review. Taylor & Francis Online. [1]
[edit] Context
In today's educational world, people are talking a lot about how technology and special education come together. This article is essentially all about artificial intelligence (AI) and how it could really change how students with special needs learn. We are looking at how AI literally fits into education, especially for students with special needs.
[edit] Overview
The article looks closely at 29 studies from 2008 to 2020. For the most part, it tries to give a big picture of how AI is used in special education. The main goal is to generally help readers understand all the different ways AI is used in this area. The research looks at things like what subjects are taught, the places where students learn, who the students are, and the types of disabilities they have. The way they study this follows a plan made by Lin and Hwang to make sure it is done carefully and thoroughly.
[edit] Strengths and Weaknesses
Now, let us talk about what the article does well and where it could essentially be better. The article is good at looking closely at studies and following a careful plan. It uses charts and graphs to make complex information easier for more people to understand. However, there are some things to think about that are quite significant. The article might not literally include all the important studies because it only looks at certain databases and articles in English. Also, it only looks at a small number of articles, mostly from specific databases, which might make it one-sided.
[edit] Deeper Analysis
Now, let us go beyond the article. It is important to think about what putting AI into special education means in a bigger way. The studies in the article show that people have become much more interested in this topic in the last ten years, showing that education is changing. However, it is tricky because most studies are from the United States. This makes us wonder if AI is being used fairly around the world indefinitely in special education.
For future research, it is important to include many more studies from different places to get complete.
[edit] Assessment
Now, let us sum up what the article does for us. It is like a helpful guide for anyone interested in how AI and special education specifically come together. It is not just for researchers. Teachers and people who mostly make rules about education can use it, too. Teachers can learn how AI can help students with different needs. Policymakers can use the information to make decisions about how to use technology in schools, which is quite significant.
[edit] Utility
This article is specifically useful for many people in education. Researchers can use it to plan their studies, getting a good look at what we already actually know. Teachers can use it to really be sort of better at helping all kinds of students learn subtly. Policymakers get much information to, for the most part, help them make smart choices, thinking about how AI and special education work together around the world.
To conclude, this article is a big deal in the ongoing conversation about AI and special education in a subtle way. By looking at the whole picture, it becomes an important part of talking about how technology can specifically make education kind of better for all students. As tech gets better, this article is right at the front, helping us figure out how to use AI in education, making sure all students get what they need. The next steps include looking at more places around the world and digging deeper into how, for the most part, AI affects the feelings and behaviours of students with special needs, which is contrary to popular belief.
[edit] Article 2: Special Needs Classroom Assessment Using a Sign Language Communicator (CASC) Based on Artificial Intelligence (AI) Techniques.
Matthew T. Marino, Eleazar Vasquez, Lisa Dieker, James Basham, & Jose Blackorby. (2023, September). The future of artificial intelligence in special education technology. Scholars Portal Journals. [2]
[edit] Context
This article specifically looks at the application of AI in special education, with a focus on Classroom Assessment using a Sign Language Communicator (CASC), a noteworthy device that is fairly significant. The article supports the general purpose of using technology to assist people with special needs when viewed in the context of the much larger picture of AI in education. It is generally important to note that the field of AI in education is increasingly concentrated on personalized learning and inclusivity. This article helps by introducing the CASC, a new device designed to facilitate communication and accurate assessment for students with hearing impairments in a major way. It highlights AI's role in developing adaptable and easily accessible learning environments, which is in line with current trends in the field.
[edit] Overview
The CASC model, which can essentially translate spoken language into sign language and vice versa, is specifically introduced at the beginning of the article. The authors, for the most part, essentially provide a step-by-step explanation of the research process while emphasizing the significance of indirect assessment via student surveys. They particularly thought about how the CASC model is developed and applied to students with special needs, particularly those who have hearing impairments. They go into great detail about this. The article's major objective is to demonstrate how, for the most part, the CASC model, which AI and machine learning drive, can subtly revolutionize special education.
[edit] Strengths and Weaknesses
The article's thorough explanation of the CASC model, from its development to its very useful application, is one of its very basic strong points. The technical aspects, such as using AI for speech recognition, natural language processing, and sign language recognition, are mostly thoroughly outlined by the authors. The article actually is somewhat applicable and definitely clear because it includes real-world examples as well as a sample of the CASC database. A flaw in the article, though, for the most part, is how little it addresses the difficulties and possible problems with the CASC model. Although it places a fairly strong emphasis on successful outcomes and student satisfaction, a more in-depth examination of the limitations—such as the effects of inadequate lighting or students hiding their emotions—would ultimately offer a fairly much more generally balanced viewpoint.
[edit] Assessment
Teachers, technologists, and legislators who are particularly interested in the relationship between AI and special education will find this article to be extremely helpful. It is a useful manual for comprehending how specifically AI resources, such as the CASC model, can certainly be applied in special education settings. The CASC model is offered as a creative way to encourage inclusivity in educational settings because of its emphasis on real-time assessment and sign language communication. This article will be beneficial to educators who want to literally learn more about how to use AI for personalized learning, particularly for students who have hearing impairments, which is fairly significant, which basically is fairly significant. The CASC model offers insights into overcoming obstacles faced by special, most generally needs students, making it a valuable tool for institutions looking to implement inclusive educational technologies.
To conclude, by presenting a useful application in the form of the CASC model, this paper considerably advances the conversation about artificial intelligence in special education. It really is important to acknowledge that, despite its strengths in technological innovation and practical application, further research is undoubtedly needed to fully understand any potential drawbacks and make improvements for generally much wider adoption. For the most part, the CASC model serves as concrete evidence of the transformative power of AI in fostering generally more inclusive and productive learning environments for students with fairly special needs.
[edit] Article 3: The Future of Artificial Intelligence in Special Education Technology
Samar Mouti, & Samer Rihawi. (2023, January). Special Needs Classroom Assessment Using a Sign Language Communicator (CASC) Based on Artificial Intelligence (AI) Techniques. Gale Academic OneFile. [3]
[edit] Context
The article titled "The Future of Artificial Intelligence in Special Education Technology" is essentially an important addition to the ongoing discussions about using artificial intelligence (AI) in special education. In the bigger picture, AI in education is definitely advancing quickly, and this article focuses on how it fits into the world of platform technology. It aligns with new ideas that literally highlight how, essentially, AI tools like ChatGPT can change education, especially for students with different abilities, in a subtle way.
[edit] Overview
Delving into the World of AI in Very Special Education The article takes a pretty deep dive into the effects, challenges, and ethical questions that essentially come with using AI in special education. The article's outline covers various crucial aspects, such as:
- The Current State of AI in Education: Looking at how, for the most part, AI is currently used in education and how it could actually be special education, which is actually fairly significant.
- Addressing Concerns: Tackling worries about biases, privacy issues, and ethical problems connected to AI tools like ChatGPT in a major way.
- AI's Role in Personalized Education: Exploring how specifically AI can essentially help with customized teaching and developing generally literally advanced thinking skills.
- Considerations for higher education: Providing things to generally think about for higher education and preparing personnel considering the progress of AI in a major way.
- Policy Implications: Discuss how policies should really mostly consider data privacy, ethical use, and rules about AI technologies, which is quite significant in a major way.
[edit] Strengths and Weaknesses
The article shines in its detailed coverage of various aspects related to AI in special education. It effectively points out the general potential benefits of AI tools, like personalized education and support for different learners. It also contributes to the ongoing conversation about ethics and policies, giving valuable insights in a major way, which is quite significant. However, the article's weakness particularly is that it does not actually explore very practical uses and real-life examples, making it definitely more theoretical than practical.
[edit] Assessment
This article really is a great resource for educators, policymakers, and researchers trying to essentially understand the complex world of AI in special education, which, for the most part, is quite significant. It particularly lays the foundation for understanding the challenges and opportunities of using AI tools, providing a roadmap for future considerations in a pretty big way. Educators can use it to learn about AI's potential for personalized instruction, while policymakers can use it to shape rules that make fairly sure AI is used responsibly in education, which literally is fairly significant.
[edit] Usefulness
The article is a useful tool for those wanting to grasp the ethical, policy, and practical aspects of integrating AI in special education in a subtle way. It guides educators in preparing for the future, stressing the need for a careful approach that considers students' diverse needs. Policymakers can benefit from the article's insights into potential risks and the rules needed to protect data privacy and ensure ethics, particularly AI use, in a major way.
To conclude, In the rapidly evolving landscape of AI in education, "The Future of Artificial Intelligence in Special Education Technology" stands as a pivotal exploration into the nuanced implications of AI tools like ChatGPT. This comprehensive article serves as a vital resource for educators and policymakers, offering profound insights into the ethical, policy, and practical dimensions of integrating AI in special education. While its theoretical emphasis outshines practical examples, the article lays a robust foundation for understanding the challenges and opportunities, guiding stakeholders toward a responsible and inclusive future in AI-driven education.
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