Artificial intelligence (AI) has become an integral part of our daily lives, and its impact on education is undeniable. Students are increasingly using AI in their learning, but the extent to which they are utilizing this technology varies across different countries. This response to your question shall pinpoint to you the behavior of students in using AI in their education and provide relevant case studies from both developed and developing countries to hep direct your understanding on the students AI use in education.

To begin with, in developed countries like the United States, students have access to a wide range of AI-powered educational tools. For instance, adaptive learning platforms such as Knewton use AI algorithms to personalize learning experiences for students. A study conducted by SRI International found that students who used Knewton's adaptive learning platform showed significant improvement in their test scores compared to those who did not use the platform (SRI International, 2015). This case study demonstrates how students are actively engaging with AI technology to enhance their learning outcomes.

Similarly, in South Korea, another developed country known for its technological advancements, there has been a significant uptake of AI in education. The government has implemented an initiative called "Smart Education" which integrates AI into classrooms. One notable example is the use of robot teachers to assist human teachers in delivering lessons. A study conducted by researchers at Seoul National University found that students who interacted with robot teachers showed higher levels of engagement and motivation compared to traditional classroom settings (Kim et al., 2017). This case study highlights how students embrace AI technology as it enhances their overall learning experience.

Moving on to developing countries like India, there is also evidence of increased usage of AI in education. In rural areas where access to quality education is limited, organizations like Educational Initiatives have developed an AI-based assessment tool called ASSET (Assessment of Scholastic Skills through Educational Testing). ASSET uses machine learning algorithms to identify gaps in student knowledge and provide personalized feedback for improvement. A research paper published by Educational Initiatives revealed that schools using ASSET witnessed a significant improvement in student learning outcomes (Educational Initiatives, 2019). This case study demonstrates how AI technology can bridge educational gaps and improve learning outcomes in developing countries.

In conclusion, students' behavior in using AI in their education varies across different countries. Developed countries like the United States and South Korea have witnessed widespread adoption of AI technology in classrooms, leading to improved learning outcomes. Developing countries like India are also leveraging AI to address educational challenges and enhance student performance. These case studies provide compelling evidence that students are actively utilizing AI technology to augment their learning experiences. As AI continues to advance, it is crucial for educators and policymakers to ensure equitable access to these technologies so that all students can benefit from the advantages they offer.

References:

Educational Initiatives. (2019). The Impact of ASSET on Learning Outcomes: A Research Study by Educational Initiatives. Retrieved from https://www.assetonline.in/impact-of-asset-on-learning-outcomes/

Kim, Y., Lee, J., & Jo, S. (2017). The Effects of Robot Teachers on Korean Students’ Perceptions of Classroom Activities: A Case Study Analysis. International Journal of Social Robotics, 9(4), 543-554.

SRI International. (2015). Adaptive Learning Platforms: Results from an Efficacy Study Funded by the Bill & Melinda Gates Foundation. Retrieved from https://www.sri.com/sites/default/files/publications/adaptive-learning-platforms-results-from-an-efficacy-study-funded-by-the-bill-melinda-gates-foundation.pdf

Hi,

See this video:

https://www.youtube.com/watch?v=Vt8WkM01QRI

Ebtehal Rasheed

Some key insights based on surveys and ethnographic studies:

- Use of AI is uneven - more prevalent in science and tech fields versus humanities currently. AI literacy needs to be strengthened across disciplines.

- Students appreciate AI for personalized and adaptive learning but express concerns about overreliance on black box systems. Human guidance is still crucial.

- Augmented writing tools like AI-powered grammar checkers are widely used by students, though the risk of plagiarism remains. Needs oversight.

- Intelligent tutoring systems have demonstrated learning gains for focused domains like math and physics problem-solving.

- Students enjoy the novelty of AI chatbots for information retrieval, but frustration occurs with conversational limitations.

Overall, while AI holds much promise, students exhibit a nuanced view recognizing both benefits and limitations. A human-centric approach is key. I'm happy to point you to some useful studies on student perspectives if helpful. This is a critical area needing further research.

Wishing you the best,

#EdTech #AI #StudentExperience