Introduction:
In our deep dive into how pedagogy connects with generative AI to become instructive AI, let’s explore distributive assessment. This approach imagines every step of a student’s learning journey being enhanced by AI, which helps tailor the educational experience to each student’s needs, optimizing learning outcomes and engagement. This leverages the capabilities of AI to personalize the assessment process, making it more responsive to the individual learning journey of each student. It transitions from generative AI to instructive AI when the teacher models and supervises its uses to help students write, without circumventing the learning process. This teaches students transparency, ethical use, and appropriate times to use it when it supports and enhances the learning.
Distributing the Assessment Journey:
Traditional one-size-fits-all assessments are replaced with smaller, more manageable components. This allows educators to provide targeted feedback at each stage of the learning process, thereby not only helping students stay on track but also deepening their understanding of the material.
The AI-Educator Dream Team:
AI and educators collaborate closely to provide timely and tailored feedback. AI tools offer speedy suggestions and insights, complementing the educators’ irreplaceable human touch and expertise.
Ensuring Academic Integrity:
Distributed assessments with AI support ensure that the integrity of academic evaluations is maintained. Teachers can track submissions at various points, making it easier to identify any discrepancies and uphold standards.
Embracing Active Learning:
Students take the driver’s seat in their learning, with AI-assisted distributed assessments allowing them to reflect on their progress, set goals, and actively participate in their educational journey. This approach fosters a more authentic and engaging learning experience.
Conclusion:
Educators are encouraged to adopt this innovative approach, supporting not just academic growth but also instilling a lifelong love for learning in students.
The infographic, Distributed Assessment – AI Checkpoint Grading Example for a 5 Paragraph Essay, visually encapsulates this method. It outlines key checkpoints:
- AI Starter: Utilizing AI to help generate a starting point.
- Students’ Write: Students write their initial drafts, incorporating any necessary supports.
- AI Feedback: AI provides initial feedback, guiding revisions.
- Peer Editing: Adding a collaborative layer through peer feedback.
- Turn In: Final refinements and submission for grading.
This distributed method not only enhances learning outcomes but also integrates technology seamlessly into the educational process, ensuring that assessments are more personalized and effective.
