In today’s faculty meetings and offices, discussions often revolve around artificial intelligence (AI). While some educators are eager to experiment, others remain cautious or resistant. The majority are working to understand how to adapt to this potential shift without compromising the value of their teaching.
Initially, AI is being used by educators to create quizzes, draft emails, design slides, and summarize text readings. These applications help with time management and routine tasks but seldom alter the student learning experience. Historically, educational technologies have improved efficiency without significantly transforming instruction. Although technology enhances educational products like quizzes and presentations, it often leaves the learning process unchanged.
Generative AI could change this by fostering a student-focused learning environment if approached with creativity. Instead of asking how to use AI, educators should consider how AI can help create transformative, student-centered learning experiences. This shift requires focusing on pedagogy over technology.
An example highlights the issue: AI can quickly generate quizzes, but the teaching model remains the same. Research shows innovations often maintain existing practices rather than transform them, due to the complexities of teaching and the need for professional development.
AI often enters classrooms as a productivity tool, but its true potential lies in enhancing learning for all students, particularly those on the margins. To realize this potential, a pedagogical approach is necessary.
The TPACK Framework emphasizes that technology should support instructional goals rather than be an add-on. Similarly, the SAMR Model suggests technology should enable previously impossible learning experiences. Educators should ask whether technology is making learning different or just more efficient, using AI to support student-centered learning.
AI can differentiate learning materials for diverse students. Instead of uniform tasks, AI can adapt texts, create podcasts, and provide alternative explanations. This allows for simultaneous differentiation within the same classroom setting.
Educators should start by using AI to create alternative versions of one reading per week, such as leveled texts or video summaries, offering students the choice that best aids their learning. This approach enhances both access and equity.
AI can also serve as a thinking partner, rather than replacing student thought. When designed properly, assignments using AI can deepen learning. For example, history students might interview an AI version of a historical figure, while business students debate AI-generated ethical dilemmas.
To encourage critical thinking, students should reflect on AI interactions, noting what AI got right or wrong and how it influenced their views. This turns AI into a catalyst for critical thinking rather than a shortcut.
Few educators use AI for designing learning experiences, where its greatest potential lies. AI can help generate discussion questions, create real-world scenarios, and design layered assessments. The focus should remain on aligning designs with student needs.
In lesson planning, educators can ask AI for ways students can explore concepts through various interactive activities, then adapt these suggestions to their specific contexts.
Original Source: facultyfocus.com
