Spring 2027

Instructional Materials Design for College Science Teaching

Develops practical pedagogical skills by designing evidence-based instructional materials and assessments for university science education contexts.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

What you’ll be able to do

  • Apply evidence-based approaches to design of instructional units and materials for college STEM courses.

  • Collaboratively develop a course that is inclusive, grounded in evidence-based teaching practices, and promotes students' scientific thinking.

  • Reflect on the process of instructional design to inform ongoing development as an educator.

  • Build community with colleagues through shared work on effective and inclusive teaching.

Source: UW Guide

Grade history

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Prerequisites

Course map

INTEGSCI 650

INTEGSCI 750 used by

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Designed to provide a practical application of pedagogical knowledge through the development of instructional materials for use in a university science education context. The process will be based around cohorts of participants working together to identify learning objectives, and create evidence-based assessments and learning experiences to target those objectives. This course is required for Scientific Teaching Fellows Program participants.

difficulty & workload

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Topics

  • Instructional materials design for university science education.
  • Evidence-based design of instructional units and materials for college STEM courses.
  • Inclusive teaching practices and promoting scientific thinking.

Skills

  • Identifying learning objectives and creating evidence-based assessments and learning experiences.
  • Reflecting on instructional design processes to inform ongoing educator development.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-10-14

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "523aabfd1c8eb722c6d15bcd2618a8fe748cdf8c0356a7ff55807268a8a8fb41",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}