# EDPSYCH 525: Learning Analytics Theory and Practice | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/EDPSYCH_525)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
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* 1242
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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

9fadfd668b7564e3c27cb459f568cd95fe17712a6fd329a8898278a622537fd9

### course id

EDPSYCH 525

### course uid

course\_57e0546fb6f1e3514843dbc7

### catalog version id

2ccb6a6ff79c259e329841fbcee6b15c1d700ac2b67a514f74ae022fb1a0c659

### course number

525

### subjects

* EDPSYCH

### title

LEARNING ANALYTICS THEORY AND PRACTICE

### description

Application of data mining techniques to large educational datasets to gain important insights into how people learn. Examines the spectrum of prevalent learning analytics methods and applications, from institutional effectiveness, to classroom-level interventions, to standardized assessments, and beyond.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

759a337b53adf63a7d973a3428066a9c33415c8de57c1cbecce0c690037935fd

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

EDPSYCH 525 teaches the application of data mining to educational datasets to understand learning through various analytics methods.

### llm topics

* Learning analytics methods and applications
* Institutional effectiveness and classroom interventions

### llm skills

* Applying data mining techniques to educational data
* Gaining insights into learning processes
* Examining learning analytics methods and applications

### llm assumed background

None recorded.

### llm search phrases

* learning analytics
* educational data mining
* educational datasets
* learning insights

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

77f3512ee3e46580f2637ef3a28ec9a67b9abf581deccf457b4e8023adab1d86

#### course id

EDPSYCH 525

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Spring 2024: 3.85 GPA, 84.6% A/AB (n=13 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

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```

#### student experience

None recorded.

#### task hash

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#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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### grades

```json
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    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 8,
    "source_aliases": [
      "EDPSYCH 525"
    ]
  }
]
```

### statistics

#### gpa

3.958

#### graded

60

#### counts

* 57
* 1
* 2
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_57e0546fb6f1e3514843dbc7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_57e0546fb6f1e3514843dbc7-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_57e0546fb6f1e3514843dbc7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_57e0546fb6f1e3514843dbc7-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_57e0546fb6f1e3514843dbc7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_57e0546fb6f1e3514843dbc7-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.9583333333333335

#### count

60

#### university

##### size

2947

##### gpa Percentile

85

##### count Percentile

26

##### median Count

113

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 11    | false   |
| 2.8–3.2 | 200   | false   |
| 3.2–3.6 | 728   | false   |
| 3.6–4.0 | 2007  | true    |

#### departments

```json
[
  {
    "subject": "EDPSYCH",
    "comparison": {
      "size": 36,
      "gpaPercentile": 49,
      "countPercentile": 20,
      "medianCount": 85,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 33,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1224

##### term

1224

##### gpa

4

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| EDPSYCH |            |

#### 1234

##### term

1234

##### gpa

4

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| EDPSYCH |            |

#### 1244

##### term

1244

##### gpa

3.8461538461538463

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| EDPSYCH |            |

#### 1254

##### term

1254

##### gpa

3.9545454545454546

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| EDPSYCH |            |

#### 1264

##### term

1264

##### gpa

4

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| EDPSYCH |            |

### benchmarks

#### all

##### school

###### size

2947

###### gpa

3.684503227431485

###### top Share

83.48969667841149

###### count

113

##### EDPSYCH

###### size

36

###### gpa

3.8852126125481763

###### top Share

94.4651235251867

###### count

85

#### terms

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### EDPSYCH

###### size

11

###### gpa

3.815704952412238

###### top Share

90.94508310758273

###### count

86

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### EDPSYCH

###### size

10

###### gpa

3.7514046425316914

###### top Share

86.83075344784126

###### count

83.5

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### EDPSYCH

###### size

11

###### gpa

3.6814609783640293

###### top Share

84.59639603695635

###### count

66

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

## instructor Trends

```json
[
  {
    "uid": "instructor_1f3f65edaef91f4c2c99bf69",
    "name": "XUNYI GAO",
    "count": 24,
    "terms": [
      {
        "term": "1244",
        "count": 13,
        "sections": 1,
        "gpa": 3.8461538461538463
      },
      {
        "term": "1254",
        "count": 11,
        "sections": 1,
        "gpa": 3.9545454545454546
      }
    ]
  },
  {
    "uid": "instructor_aed0339aff9d38c076af8337",
    "name": "JULIE HUNT",
    "count": 24,
    "terms": [
      {
        "term": "1234",
        "count": 11,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1244",
        "count": 13,
        "sections": 1,
        "gpa": 3.8461538461538463
      }
    ]
  },
  {
    "uid": "instructor_39886adec737539463705a73",
    "name": "ELIZABETH PIER",
    "count": 18,
    "terms": [
      {
        "term": "1224",
        "count": 18,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_92821ff0b031b95b0d6531f0",
    "name": "DARIANE DRAKE",
    "count": 18,
    "terms": [
      {
        "term": "1254",
        "count": 11,
        "sections": 1,
        "gpa": 3.9545454545454546
      },
      {
        "term": "1264",
        "count": 7,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_e038cf19a2ca81c7f3c7a3ff",
    "name": "YEYU WANG",
    "count": 18,
    "terms": [
      {
        "term": "1224",
        "count": 18,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_63456fc58dde8f8a9f609178",
    "name": "JAEYOON CHOI",
    "count": 11,
    "terms": [
      {
        "term": "1234",
        "count": 11,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
