How AI create supportive learning in PNG.
Note.
Provide 2 paragraph with citation
Artificial intelligence (AI) has the potential to create a supportive learning environment in Papua New Guinea (PNG) by providing personalized and adaptive learning experiences. One way AI can enhance learning is through its ability to analyze large sets of data and provide insights and recommendations. For instance, AI-powered learning platforms can collect and analyze data on students' performance, preferences, and learning styles, and then tailor the learning content and pace to meet their individual needs (Hwang & Wu, 2019). This personalized approach ensures that students receive the right level of challenge and support, ultimately enhancing their learning outcomes.
Furthermore, AI can also support learning in PNG by providing timely feedback and assistance to students. AI-powered chatbots, for example, can provide immediate answers to students' questions and offer step-by-step guidance on problem-solving exercises (Hwang & Wu, 2019). This real-time feedback not only encourages students to actively engage in their learning but also helps them identify and rectify their mistakes more efficiently. Moreover, AI can also analyze students' progress over time and identify areas where they may need further practice or reinforcement, enabling teachers to design targeted interventions and support for individual students (Lee & Kim, 2021).
References:
Hwang, G. J., & Wu, P. H. (2019). Applications, impacts and trends of artificial intelligence in education. Journal of Educational Technology & Society, 22(3), 32-40.
Lee, Y., & Kim, S. (2021). The effect of personalized learning using AI in mathematics education on elementary school students' learning achievement and self-regulated learning. Education Sciences, 11(4), 203.
Artificial Intelligence (AI) can play a significant role in creating supportive learning environments in PNG. One way AI can enhance learning is through personalized learning experiences. AI algorithms can analyze student data, such as their individual progress, strengths, and weaknesses, to create tailored learning plans. For example, AI-powered educational platforms can recommend specific resources or materials based on students' learning style or ability, ensuring that they receive targeted support and guidance (Buckingham, 2019).
Additionally, AI can assist in providing real-time feedback to students. Through machine learning algorithms, AI systems can analyze students' responses and provide immediate feedback, allowing them to assess their understanding and make corrections instantly. This continuous feedback loop promotes active learning and helps students identify areas where they need improvement, enabling them to focus their efforts on the right areas (Shah, 2019).
References:
Buckingham, D. (2019). AI in education: are we asking the right questions? Learning, Media and Technology, 44(2), 110-115. doi: 10.1080/17439884.2019.1583700
Shah, R. (2019). How AI personalizes students' learning experiences. eSchool News. Retrieved from https://www.eschoolnews.com/2019/01/25/how-ai-personalizes-students-learning-experiences/