Spring 2027

Supporting Students' Social/emotional Well-being

Examines promotion, prevention, and intervention strategies for addressing students' social, emotional, and behavioral needs across K-12 education, focusing on positive development and program implementation in schools.

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

Summary

1 / 3

Recent recorded grades — Spring 2019: 3.61 GPA, 78.6% A/AB (n=14 letter grades); Spring 2020: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=17 letter grades).

What you’ll be able to do

  • Identify, explain, and apply the core foundational concepts within the field of prevention science, including promotive and protective factors, risk factors, models of prevention and early intervention, implementation issues, and an understanding of the role that research plays within prevention and corresponding implementation of programs.

  • Define, understand, and explore the connections between social/emotional/behavioral functioning and academic achievement and general well-being.

  • Be familiar with the principles and criteria of evidence-based research and practice; be able to apply these criteria to describe the strengths, weaknesses and supporting evidence for diverse social, emotional, and behavioral interventions.

  • Identify, examine, and become knowledgeable about school-wide interventions for supporting educationally positive learner environments.

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Educational Psychology: Professional Educator (MSPE) MS

  • Declared in Educational Psychology: Professional Educator (MSPE) MS
EDPSYCH 633

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Declared in Educational Psychology: Professional Educator (MSPE) MS

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

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Student experience

the class

Recent recorded grades — Spring 2019: 3.61 GPA, 78.6% A/AB (n=14 letter grades); Spring 2020: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Systematic approaches for addressing social, emotional, and behavioral needs in schools.
  • Promoting positive development in students.
  • Connections between social, emotional, and behavioral functioning and academic achievement or well-being.
  • School-wide interventions for supporting positive learning environments.

Skills

  • Apply prevention science concepts, including promotive and protective factors, risk factors, and models of prevention and early intervention.
  • Apply evidence-based research criteria to evaluate the strengths, weaknesses, and supporting evidence for social, emotional, and behavioral interventions.
  • Evaluate and implement prevention programs and approaches in school settings.

Grades

Latest available · Spring 2022— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2022

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records

No offering records for the selected term.

Raw records
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "6217e400a794873ffcf356c81819c0ad053414742ab1ced1561706fe5af99f10",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}