No course-specific feedback yet.
How People Learn
Introduces theories of learning, covering memory, intelligence, cognitive and social aspects, context, and individual differences.
Summary
Historical reviews of Fangli Xia, Xuesong Cang: Workload includes weekly homework, three exams, and short to long papers, with exams described as fair and not overly difficult.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapSophomore standing
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Sophomore standing
Professors
Fall 2026Recent recorded grades — Spring 2025: 3.86 GPA, 91.6% A/AB (n=107 letter grades); Fall 2025: 3.86 GPA, 94.7% A/AB (n=114 letter grades); Spring 2026: 3.93 GPA, 96.0% A/AB (n=101 letter grades). Includes jointly taught sections.
Recent recorded grades — Spring 2026: 3.82 GPA, 91.8% A/AB (n=110 letter grades). Includes jointly taught sections.
Recent recorded grades — Fall 2025: 3.81 GPA, 92.9% A/AB (n=113 letter grades); Spring 2026: 3.73 GPA, 88.2% A/AB (n=102 letter grades). Includes jointly taught sections.
No course-specific feedback yet.
Recent recorded grades — Spring 2025: 3.86 GPA, 91.6% A/AB (n=107 letter grades); Fall 2025: 3.93 GPA, 97.3% A/AB (n=110 letter grades); Spring 2026: 3.82 GPA, 91.8% A/AB (n=110 letter grades). Includes jointly taught sections.
Historical instructors & teaching patterns
Historical reviews for Fangli Xia and Xuesong Cang describe them as accommodating and straightforward. Xia’s lectures follow slides closely with extra credit, while Cang provides fair grading and in-depth criteria.
AMANDA EVENSTONE is recorded teaching in Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2021, Spring 2022. Recorded history may be incomplete and does not establish a future schedule.
CHAEYEON KIM is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
CHENEY LIN is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
FANGLI XIA is recorded teaching in Fall 2020, Fall 2022, Spring 2023, Fall 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.
GLENIS BENSON is recorded teaching in Fall 2014. Recorded history may be incomplete and does not establish a future schedule.
INDRANI DEY is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
JOSEPH MICHAELIS is recorded teaching in Fall 2016. Recorded history may be incomplete and does not establish a future schedule.
JOYCE HEMPHILL is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011. Recorded history may be incomplete and does not establish a future schedule.
JULIA RUTLEDGE is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019. Recorded history may be incomplete and does not establish a future schedule.
KELSEY SCHENCK is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule.
SARAH SULLIVAN is recorded teaching in Spring 2011, Fall 2012, Spring 2013, Fall 2013, Spring 2014. Recorded history may be incomplete and does not establish a future schedule.
SHARON DERRY is recorded teaching in Fall 2007, Spring 2008, Fall 2008, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2012. Recorded history may be incomplete and does not establish a future schedule.
XUESONG CANG is recorded teaching in Fall 2020, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
YEYU WANG is recorded teaching in Spring 2024, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
YUANRU TAN is recorded teaching in Fall 2021, Spring 2022, Spring 2025, Fall 2025, Spring 2026. 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 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 111 / 120 | 8 |
| LEC 003 | Classroom Instruction | 112 / 120 | 4 |
| LEC 002 | Classroom Instruction | 103 / 120 | 4 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Historical reviews of Fangli Xia, Xuesong Cang: Recent reviews describe the course as straightforward with fair exams and generous extra credit opportunities, though content can occasionally feel dry.
Recent recorded grades — Spring 2025: 3.84 GPA, 92.4% A/AB (n=317 letter grades); Fall 2025: 3.86 GPA, 95.0% A/AB (n=337 letter grades); Spring 2026: 3.83 GPA, 92.0% A/AB (n=313 letter grades).
difficulty & workload
Historical reviews of Fangli Xia, Xuesong Cang: Workload includes weekly homework, three exams, and short to long papers, with exams described as fair and not overly difficult.
Historical reviews of Xuesong Cang: Students appreciate the accommodating nature of recent instructors and the clear grading criteria.
Topics
Skills
Grades
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 · 0.03 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
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.
Selected offering source records
How People Learn
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:315:006099",
"course_id": "EDPSYCH 301",
"course_uid": "course_efce20748a02fd76caa36d8a",
"term_id": "1272",
"source_course_id": "006099",
"source_subject_id": "315",
"title": "How People Learn",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall, Spring, Summer"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "809cc41f4d8fffe909957e9b65b33758424f34b0cd73a1114f56f1faf3d18865",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}