March 20, 2025
Artificial intelligence (AI) is a powerful tool in education that deepens student interaction and makes learning processes more personalized. The AI Assignment Designer, which assists educators in designing AI-supported assignments, offers a significant innovation in teaching processes. This tool not only helps students interact with AI but also guides educators in producing pedagogically sound content. It helps educators understand how to integrate AI into educational processes while supporting students' cognitive development.
AI Assignment Designer and Pedagogical Foundations
The AI Assignment Designer provides a comprehensive platform for educators to design AI-supported assignments for students. This tool presents five main assignment categories within the framework of Bloom’s Taxonomy, encouraging students to gradually develop their cognitive skills. Bloom’s Taxonomy ranks learning processes into six levels: Remembering, Understanding, Applying, Analyzing, Evaluating, and Creating.
Interaction with AI: Five Assignment Categories
The AI Assignment Designer offers five different assignment categories for students, designed to develop their cognitive skills at each level:
Green Light Assignments
In these assignments, students are encouraged to freely use AI to develop creative and innovative solutions. As they explore how AI can be used, they learn to create effective human-AI collaboration.Example: Students tackle a challenging problem with the help of AI and document the process while developing creative solutions.
Red Light, then Green Light Assignments
In this category, students are not allowed to use AI in the initial stages, but are permitted to use it in later stages of the assignment. This structure helps students develop a critical perspective toward AI.Example: Students work on the first part of an essay using only their own ideas and use AI to enhance their content in the final part.
Human Critiques the Chatbot Assignments
Students critique content produced by AI, analyzing its mistakes and shortcomings. These assignments help students develop their critical thinking skills.Example: Students assess a case study generated by AI and improve it with constructive suggestions.
Chatbot Critiques the Human Assignments
In these assignments, students create written content, and AI evaluates it. AI examines the students' text from a critical perspective.Example: Students submit their written text for AI to evaluate, identifying areas for improvement and deficiencies in the content.
Co-Creation Assignments
In these assignments, students collaborate with AI to develop creative projects. AI contributes to the creative process by inspiring students.Example: Students work with AI to create a piece of artwork and discuss ethical questions related to art during the process.
Pedagogical Foundations and AI’s Contribution to Education
The AI Assignment Designer aims to present knowledge to students based on solid pedagogical foundations. Each task category encourages students to think deeply and develop their critical skills. While AI adds an interactive dimension to students' learning processes, it also keeps pedagogical values in mind.
Ethical Concerns and AI Education
AI applications also bring important ethical issues in education. According to Akgün and Greenhow’s research, the use of AI in education requires consideration of the fact that algorithms are not neutral and may reinforce societal biases. Therefore, ethical principles play a significant role in the use of AI in education. Educators should guide students to use AI consciously and encourage them to recognize potential risks.
Conclusion
The AI Assignment Designer enables educators to design effective assignments integrated with AI. This tool allows students to develop their cognitive skills, think creatively, and engage with AI. It also helps raise awareness about the ethical use of AI. The correct and ethical use of AI applications in education ensures that students grow into technology-compatible, conscious, and critical thinkers for the future.
References
Akgün, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431-440. http://dx.doi.org/10.1007/s43681-021-00096-7
Bruff, D. (2024). Five categories of AI-integrated assignments with examples. Derek Bruff's Blog. Retrieved from https://derekbruff.kit.com/posts/five-categories-of-ai-integrated-assignments-with-examples
