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Helping Students Process and Apply AI-Generated Feedback
This strategy card explores how educators can help students process and apply AI-generated feedback by using structured reflection and goal-setting protocols, ensuring AI serves as a tool for deep learning and metacognitive growth.
How can school and district leaders build the prerequisite conditions for AI to be used powerfully, equitably, and responsibly?
This problem of practice provides three approaches school and district leaders can take to build the prerequisite conditions for AI to be used powerfully, equitably, and responsibly.
How can teachers begin to effectively and responsibly enhance teaching and learning through implementing generative AI tools?
This problem of practice offers three approaches that teachers can effectively and responsibly use to enhance teaching and learning by implementing generative AI tools.
Individual Check-ins for Student Success
Individual check-ins create structured, personalized conversations between instructors and students to build relationships, provide feedback, and address challenges early. These meetings help students feel seen and supported while modeling the type...
Building Time Management through Calendar Look-Aheads
Calendar look-aheads guide students to anticipate both academic and personal commitments. This strategy strengthens time management, reduces last-minute stress, and helps students make proactive adjustments in navigating dual-enrollment courses.
Wyoming's RIDE (Reimagining and Innovating the Delivery of Education) Initiative: Evaluation Report
The Wyoming RIDE (Reimagining and Innovating the Delivery of Education) initiative is the inaugural program of Wyoming’s Future of Learning Partnership, a state-level consortium working together to support innovative education across the state. The...
Aurora Institute's 2024 Federal Policy Priorities
The Aurora Institute has released federal policy recommendations aimed at reshaping our public education system to be more personalized, competency-based, and equitable. The report highlights strategic guidance and recommendations for federal...
Online Learning: Top 5 Federal Policy Issues
iNACOL released this policy brief providing federal legislators with background information and concrete, actionable recommendations on 5 key issues within student-centered, competency-based education. Online Learning: Top 5 Federal Policy Issues...
Aurora Institute's 2024 State Policy Priorities
The Aurora Institute has released state policy recommendations to enable our education system to transition from an industrial age “one-size-fits-all” model, to a future-focused model that supports education innovation, student agency, builds...
The iNACOL Federal Policy Frameworks 2015
The iNACOL Federal Policy Frameworks 2015 provides specific policy recommendations to close persistent learning gaps, improve equity and dramatically increase student achievement. This policy brief provides concrete, actionable recommendations on...
iNACOL National Standards for Quality Online Courses (v2)
This report provides states, districts, online programs, and other organizations with a set of quality guidelines for: Online course contentInstructional designTechnologyStudent assessmentCourse management. These standards are guidelines for...