Since I'm PhD student myself, I can simply say that negative aspect is that students rely on AI too much or should I say too blindly.
AI is a good tool if you understand the problem and know possible solutions. In that case, you can filter information and understand if AI is suggesting good insights and how you can change it. Moreover, AI is a tool to aid in research, not to replace the researcher, it can edit text, do computations and much more, but you need to provide original information and don't just copy the output but use it as you use reference articles or something.
Positive effects: Personalized learning, ease of access to resources, enhancing engagements through immersive learning experiences and getting immediate feedbacks for various queries.
Negative effects: For the negative feedbacks, over dependancy, privacy concerns, Biasness and discrimination, job displacement can really be experienced as key negative effects on the students.
To minimize the negative impacts of AI on students' learning, several strategies can be implemented:
Ethical AI development: Ensuring that AI systems used in education are developed ethically and responsibly, with mechanisms in place to mitigate biases, safeguard privacy, and prioritize the well-being of students. Balancing AI with human interaction: Integrating AI tools and technologies into the learning environment while maintaining a balance with human interaction, ensuring that students still have opportunities for face-to-face interaction with educators and peers. Promoting digital literacy: Educating students about the capabilities and limitations of AI, as well as teaching them critical thinking skills to evaluate and interpret information provided by AI systems. Regular monitoring and evaluation: Continuously monitoring the impact of AI on students' learning and well-being, and making adjustments as needed to address any negative consequences that may arise.
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