Tools, guides, templates, and insights for educators interested in instructional innovation, AI-resilient course design, student readiness, data-informed teaching, competency-based education, and student success.
The Schmidt Institute is developing practical resources that help educators and institutions move from ideas to implementation.
Practical guides on student readiness, instructional intelligence, AI in education, competency-based learning, workforce-aligned learning, and data-informed teaching.
Downloadable planning tools, assessment templates, AI-resilient assignment redesign worksheets, dashboard reflection sheets, and implementation checklists.
Articles, white papers, and summaries connecting educational psychology, instructional design, AI, workforce learning, and student success.
Resources will be organized around the core areas of the Schmidt Institute’s work.
These resources are planned as downloadable tools for educators, departments, and institutions.
A practical guide for redesigning assignments so students demonstrate authentic learning, process, reflection, and application.
A starter framework for identifying student confidence, goals, learning preferences, prior experience, and support needs before instruction begins.
A tool to help faculty interpret dashboard results and connect student data to instructional adjustments.
A worksheet for aligning outcomes, assessments, evidence of mastery, flexible pacing, and student support strategies.
A practical checklist for using AI to support course design, feedback, accessibility, academic integrity, and student engagement.
A planning template for connecting course outcomes, industry skills, employer expectations, and authentic assessment.
Future articles will explore practical questions educators and institutions are asking.
A future article exploring student readiness, learning preferences, prior knowledge, goals, experience, and early instructional planning.
A future article on moving from data reporting to meaningful instructional action, faculty development, and student support.
A future article on responsible, practical, and student-centered uses of artificial intelligence in education.
A future article on authentic assessment, process-based learning, student reflection, and evidence of learning.
A future article on using early student insight to identify support needs and design more responsive learning environments.
A future article on skills mapping, career pathways, industry-aligned outcomes, and applied learning.
Resources may include multiple formats to support individual educators, departments, and institutions.
Templates, worksheets, checklists, planning guides, and reflection tools educators can apply immediately.
Step-by-step resources for course redesign, faculty development, CohortView™ pilots, and student success initiatives.
Short, practical articles focused on instructional innovation, AI integration, data-informed teaching, and student readiness.
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