Fall 2026

Mind, Brain and Education

Provides an overview of methods and findings at the interface between education and neuroscience.

offering recorded3 credits
Recorded instructors · Fall 2026 Edward Hubbard4.0/5Roy LuoSilvia Liu

Summary

1 / 6

The course features a group project, three exams, and smaller assignments like quizzes and discussion posts. Workload is described as low-stress with fair tests, though exams require studying for those without a neuroscience background.

Grade history

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

Prerequisites

Course map

Sophomore standing

  • Sophomore standing
EDPSYCH 326

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

Prerequisite text tree
  • Sophomore standing

Professors

Fall 2026

Edward Hubbard

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.40/5 from 20 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 4.5/5 raw quality · 2.7/5 difficulty · 10 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Edward Hubbard is praised for being engaging, approachable, and enthusiastic, with students noting his clear explanations and care for well-being. Reviewers highlight his use of evidence-based teaching strategies and fair exams supported by study guides. Conversely, some reviewers describe him as unorganized and an extremely slow grader, while others criticize his lecture pacing and focus on irrelevant material.

Recent recorded grades — Spring 2025: 3.57 GPA, 75.5% A/AB (n=53 letter grades); Fall 2025: 3.57 GPA, 79.3% A/AB (n=87 letter grades); Spring 2026: 3.58 GPA, 80.8% A/AB (n=78 letter grades). Includes jointly taught sections.

Recent recorded grades — Spring 2025: 3.57 GPA, 75.5% A/AB (n=53 letter grades); Fall 2025: 3.57 GPA, 79.3% A/AB (n=87 letter grades); Spring 2026: 3.58 GPA, 80.8% A/AB (n=78 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

Historical reviews of Elizabeth Toomarian: Elizabeth Toomarian taught materials that were straightforward and easy to understand, with exams described as easy and fair. Her course required significant reading, though most could be skimmed, and included a time-consuming group project graded fairly. Attendance was tracked via TopHat.

EDWARD HUBBARD is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Fall 2015, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Spring 2022, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

ELIZABETH TOOMARIAN is recorded teaching in Fall 2016, Spring 2017. Recorded history may be incomplete and does not establish a future schedule.

ROY LUO is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

SARAH SHORT is recorded teaching in Spring 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.

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

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction132 / 1750

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Edward Hubbard is described as engaging, approachable, and enthusiastic, with students finding the course interesting. Reviewers note his clear explanations and supportive nature.

Recent recorded grades — Spring 2025: 3.57 GPA, 75.5% A/AB (n=53 letter grades); Fall 2025: 3.57 GPA, 79.3% A/AB (n=87 letter grades); Spring 2026: 3.58 GPA, 80.8% A/AB (n=78 letter grades).

difficulty & workload

The course features a group project, three exams, and smaller assignments like quizzes and discussion posts. Workload is described as low-stress with fair tests, though exams require studying for those without a neuroscience background.

Students appreciate the structured course and Hubbard's use of current research. One reviewer cites extremely slow grading, while another finds lectures disorganized or rushed.

Topics

  • Brain development from birth to adolescence.
  • Brain changes in response to learning.
  • Individual differences in brains and learning.
  • Language acquisition and bilingualism.
  • The brain basis of reading and mathematics.
  • Executive functions like memory, attention and emotion.

Skills

  • Overview of methods and findings at the interface between education and neuroscience.
  • Understanding brain development and changes in response to learning.
  • Relating individual brain differences to individual learning differences.
  • Exploring language acquisition, bilingualism, reading, mathematics, and executive functions.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.10 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
EDPSYCH 326 · Fall 2026

Mind, Brain and Education

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:315:023920",
    "course_id": "EDPSYCH 326",
    "course_uid": "course_f44d84e283dbc932f1121826",
    "term_id": "1272",
    "source_course_id": "023920",
    "source_subject_id": "315",
    "title": "Mind, Brain and Education",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

Download the original dataset
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "d47a973b85e643f116c53cab986207d757ad04638d4906e14bcbaeb604034033",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}