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AI And Future Teachers

AI has the potential to greatly impact future teachers and their roles in education. Here are some ways AI can intersect with future teachers:

Training and Professional Development: AI can be utilized in teacher training programs to simulate classroom scenarios, provide virtual teaching experiences, and offer personalized feedback. AI-powered platforms can analyze teaching techniques, provide suggestions for improvement, and help future teachers refine their instructional practices.

Personalized Learning Environments: As future teachers, understanding how to integrate AI-powered educational tools and platforms into classrooms will be essential. AI can support teachers in creating personalized learning environments by analyzing student data, providing adaptive resources, and offering insights into individual student progress and needs.

Curriculum Design and Resource Curation: AI can assist future teachers in curriculum design and resource curation by analyzing vast amounts of educational content, aligning it with learning objectives, and recommending appropriate materials. This can save time for teachers and ensure access to diverse and relevant resources.

Student Assessment and Feedback: AI can automate aspects of student assessment, such as grading multiple-choice assessments or providing immediate feedback on assignments. Future teachers can leverage AI tools to streamline assessment processes, allowing more time for in-depth analysis of student work and targeted feedback.

Special Education and Individualized Support: AI technologies, such as speech recognition and natural language processing, can assist future teachers in supporting students with special needs. AI-powered tools can aid in speech therapy, language development, and personalized interventions, providing additional support in inclusive classrooms.

Ethical and Responsible AI Integration: Future teachers will need to understand the ethical implications of using AI in education. They will play a crucial role in guiding students to think critically about AI systems, addressing biases, privacy concerns, and ensuring responsible AI use in the classroom.

While AI can provide valuable support to future teachers, it is important to note that AI should not replace the essential human qualities that teachers bring, such as empathy, creativity, and the ability to build relationships with students. Future teachers must embrace AI as a tool and continue to foster the social-emotional skills, critical thinking, and holistic development of their students.

In summary, AI can enhance the capabilities of future teachers by providing personalized learning, supporting curriculum design, facilitating assessment and feedback, assisting in special education, and promoting ethical AI integration. By effectively leveraging AI tools, future teachers can enhance their instructional practices and create more engaging and effective learning environments for their students.

 

References

Akgun, S., Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2, 431–440. https://doi.org/10.1007/s43681-021-00096-7

Aleven, V., McLaughlin, E. A., Glenn, R. A., & Koedinger, K. R. (2016). Instruction based on adaptive learning technologies. In Mayer, R.E. & Alexander, P.A., Handbook of research on learning and instruction, 522-560. ISBN: 113883176X

Baker, R.S., Esbenshade, L., Vitale, J., & Karumbaiah, S. (2022). Using demographic data as predictor variables: A questionable choice. https://doi.org/10.35542/osf.io/y4wvj

Black, P. & Wiliam, D. (1998). Inside the black box: Raising standards through classroom assessment. Phi Delta   Kappan, 92(1), 81-90. https://kappanonline.org/inside-the-blackbox-raising-standards-through-classroom-assessment/

Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21(1), 5-31. https://doi.org/10.1007/s11092-008-9068-5

Boden, M.A. (2018). Artificial intelligence: A very short introduction. Oxford. ISBN: 978-0199602919

Bryant, J., Heitz,C., Sanghvi, S., & Wagle, D. (2020, January 14). How artificial intelligence will impact K-12 teachers. McKinsey. https://www.mckinsey.com/industries/education/ourinsights/how-artificial-intelligence-will-impact 12-teachers

Celik, I., Dindar, M., Muukkonen, H. & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66, 616–630. https://doi.org/10.1007/s11528-022-00715y

Center for Integrative Research in Computing and Learning Sciences (CIRCLS). (2022, Feb.).From Broadening to empowering: Reflecting on the CIRCLS’21 Convening. https://circls.org/circls21report

Chen, C., Park, H.W. & Breazeal, C. (2020). Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement. Computers & Education, 150, https://doi.org/10.1016/j.compedu.2020.103836

Chen, G., Clarke, S., & Resnick, L.B. (2015). Classroom Discourse Analyzer (CDA): A discourse analytic tool for teachers. Technology, Instruction, Cognition and Learning, 10(2), 85-105

 

 

 

 

 

 

 

 

 

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